79 Stratification Jobs

Job Description: You will provide leadership in designing and implementing ground-breaking GPU computers that run demanding deep learning, high-performance computing, and computationally intensive workloads. We seek an expert to identify architectural changes and/or completely new approaches for accelerating our deep learning models. As an expert, you will help us with the strategic challenges we encounter, including compute, networking, and storage design for large scale, high-performance workloads, effective resource utilization in a heterogeneous computing environment, evolving our private/public cloud strategy, capacity modelling, and growth planning across our products and services. As an architect you are responsible for converting business needs associated with AI-ML algorithms in to a set of product goals covering workload scenarios, end user expectations, compute infrastructure and time of execution; this should lead to a plan for making the algorithms production ready Benchmark and optimise the Computer Vision Algorithms and the Hardware Accelerators for performance and quality KPIs. Optimize algorithms for optimal performance on the GPU tensor cores. Collaborate with various teams to drive an end to end workflow from data curation and training to performance optimization and deployment. Assign tasks to the team and monitor as well Skills Required MS or PhD in Computer Science, Electrical Engineering, or related field. A strong background in deployment of complex deep learning architectures . 7+ years of relevant experience in at least a few of the following relevant areas is required in your work history: Machine learning (with focus on Deep Neural Networks), including understanding of DL fundamentals; Experience adapting and training DNNs for various tasks; Experience developing code for one or more of the DNN training frameworks (such as Caffe, TensorFlow or Torch): Numerical analysis, Performance analysis, Model compression and Optimization & Computer architecture. Strong Data structures and Algorithms know-how with Excellent C/C++ programming skills. Hands-on expertise with PyTorch, TensorRT, CuDNN Hand-on expertise with GPU computing (CUDA, OpenCL, OpenACC) and HPC (MPI, OpenMP) In-depth understanding of container technologies like Docker, Singularity, Shifter, Charliecloud. Proficient in Python programming and bash scripting. Proficient in Windows, Ubuntu and Centos operating systems. Excellent communication and collaboration skills. Self-motivated and able to find creative practical solutions to problems. Good to have Hands-on experience with HPC cluster job schedulers such as Kubernetes, SLURM, LSF. Familiarity with cloud computing architectures Hands-on experience with Software Defined Networking and HPC cluster networking. Working knowledge of cluster configuration management tools such as Ansible, Puppet, Salt. Understanding of fast, distributed storage systems and Linux file systems for HPC workloads. About Company: AIRA Matrix provides artificial intelligence based solutions for Life Sciences applications. Our solutions improve efficiency, diagnostic accuracy, and turnaround times in pathology, microbiology and ophthalmology workflows across pharmaceutical and healthcare laboratories. We leverage machine and deep learning techniques to develop diagnostic, prognostic, and predictive solutions. Our solutions provide cost benefits in the pharmaceutical domain, by speeding up pre-clinical drug development timelines, and by enhancing the efficiency of environmental monitoring required in manufacturing. In healthcare applications, our solutions improve treatment outcomes by aiding disease stratification and enabling management protocols tailored to individual patients. Our clients and partners include leading hospitals, pharmaceutical companies, CROs, and research labs around the world. Our deep learning platforms with existing network models and pre-built AI applications provide the foundation for fast customizations and help tackle any unique challenges in your image analysis and study management workflows. Our flexible service model enables the swift deployment of these custom solutions with minimal resource and time commitment from your side. Our Application Development Team plays an important role in developing competent customer facing applications to access our AI solutions and enterprise-level image management systems in life sciences. -- Regards, Surya Prajapati Talent Acquisition Specialist Email : surya.prajapati@airamatrix.com Website : https://www.airamatrix.com Dosti Pinnacle, 801, Rd No. 22, Wagle Industrial Estate , Thane (W) Maharashtra, India - 400604.

Are you passionate about turning real-world healthcare data into actionable insights that improve patient outcomes? At Prospection , we empower better healthcare decisions by uncovering meaning from large-scale health data sets and delivering powerful, data-driven strategies. We’re looking for a Senior Analytics Consultant to join our fast-growing team. This is a hands-on role where you’ll leverage advanced data analytics, predictive modelling, and real-world data (RWD) to deliver high-impact outcomes for pharmaceutical companies, healthcare providers, and governments—across Australia and globally. About Us Prospection is a pioneer in healthcare analytics, applying machine learning, predictive modelling, and advanced SQL/Python analytics to real-world datasets—claims, EMR, registries, and supply chain. From immuno-oncology to hepatitis, our insights have supported 70+ therapy areas worldwide . What You’ll Do Support the full lifecycle of pharmaceutical products—from development to market launch and post-market monitoring—using advanced analytics to uncover key trends and opportunities. Conduct market sizing, cohort analysis, risk stratification, and KPI modelling to inform product and marketing strategies. Build and optimise automated data pipelines (e.g., in Dataiku) to improve reporting efficiency and deliver faster insights. Develop and present interactive dashboards, visualisations, and executive presentations to communicate findings to stakeholders. Partner with Sales teams to translate analytical insights into scalable, productised solutions that align with our platform vision. Collaborate with regional analytics teams, sharing best practices in predictive modelling, machine learning, and advanced SQL querying to ensure consistent quality and innovation. Mentor junior team members, promoting analytical excellence and knowledge sharing. Essential Criteria 5+ years’ experience working with pharma clients, leveraging longitudinal real-world patient datasets to solve use cases such as forecasting, brand performance tracking, prescriber targeting, segmentation, patient journeys, and omni-channel attribution. Strong solutioning mindset : able to engage directly with clients, unpack requirements through probing Q&A, translate business needs into analytical designs, and own the problem→solution path. Proven client communication skills: confident running pharma stakeholder meetings , handling back-and-forth to refine scope, and presenting insights. Team leadership: experience managing and mentoring analysts/scientists; setting standards, reviewing work, and building repeatable best practices. Technical excellence : advanced SQL (joins, windows, aggregations); Python (NumPy, pandas, scikit-learn, XGBoost); data viz in Power BI; power-user of Excel (VBA/Macros, Power Query). Able to take a brief and query/shape data end-to-end independently. Healthcare analytics background with real-world/claims/EMR data; comfortable with clinical context (e.g., indications, lines of therapy, persistence, switching) and quick to learn unfamiliar disease areas. Degree in a quantitative field (Engineering, Mathematics, Statistics, Computer Science, Health Economics) or equivalent experience. Mindset : hungry, curious, and proactive - eager to learn and continuously raise the bar for the team. Why Join Prospection? Impact: Work on projects that improve healthcare delivery and patient outcomes globally. Growth: Be part of a rapidly scaling company with career advancement opportunities. Culture: Join a collaborative, mission-driven team passionate about healthcare and data. Learning: Access professional development, mentorship, and exposure to advanced analytics technologies. If you’re ready to use your skills in SQL, Python, predictive modelling, and healthcare data analytics to make a real difference, we’d love to hear from you.

Job Tittle: R&D Global Supply Study Support Location - Hyderabad About The Job At Sanofi R&D, we develop future medicines that improve patients' lives worldwide. Our Clinical Supply Chain Operation (CSCO) department is responsible for packaging and distributing Investigational Medical Products (IMPs) to patients globally for clinical testing. The Global Supply Study Support (GSSS) provides support - on activities that can be centralized - to a worldwide team of CSC SL (Clinical Supply Chain Study Leader) located mainly in USA, France and China in charge to coordinate the flow of our investigational products ensuring quality, timely delivery, regulatory compliance, and accurate tracking through our internal systems. The GSSS will report to the GSSS Team Leader (India) and interact with the Clinical Supply Chain stakeholders. Main Responsibilities Include Common : Clinical Trial & Supply Knowledge Understanding of clinical trial design, protocols, regulatory requirements (GxP) Understanding of clinical endpoints, patient randomization processes, study arms, dosing regimens, cohort management, stratification factors Understanding of investigational product management in clinical trial including kit types, shelf life, IMP production plan, depot management, IMP distribution, IMP reconciliation, returns/destruction. Level 1 Responsibilities Create and manage transfers to depot in IRT, customize them in Sanofi supply tool and maintain the Inventory Product Stock Management (IPSM) tracker. Manage destruction of expired IMP and AxMP throughout the study lifecycle, performing appropriate actions in related Sanofi tools (ERP, RAID…) Monitor IRT interface failures with Sanofi supply tools and promptly alert the CSC SL. Support CSC SL by accurately capturing supply plans in Sanofi Clinical Supplies tools (ERP) Perform global reconciliation of studies in Sanofi supply tools and follow up discrepancy investigations with appropriate stakeholders (CSC SL, IPMs, CRA, Investigational sites) Provide filing and archiving support for IMP-related documents, including uploading documents into eTMF to ensure inspection readiness. Level 2 Responsibilities Support the CSC SL in monitoring IMP and AxMP stock levels throughout the study. Alert Promptly CSC SL in case of shortage risk. Assist the CSC SL in tracking shipments throughout the study duration. Prepare and Maintain mandatory shipment documentation prior shipment preparation (value for custom, country-specific documentation, study pre-requisite documents) Support the CSC SL in preparation for regulatory inspections. Manage service provider purchase orders and invoices, ensuring regular financial tracking and compliance. About You Bachelor’s degree required (advanced degree preferred, scientific discipline preferred) with at least 2 years of operational experience in pharmaceutical production, Supply Chain, Quality and/or clinical trials. Basic knowledge of clinical development, Good Clinical Practice (GCP) and Good Manufacturing Practice (GMP). Strong organizational skills with ability to manage multiple concurrent tasks efficiently. Demonstrated ability to work autonomously with methodology approach to meet guidelines and deadlines. Experience working in a global, multi-cultural, multidisciplinary environment. Effective communication both written and verbal Adaptability to changing and challenging work environments, including technical environments changes. Near-native fluency written and spoken in English Proficiency with MS Office applications (Word, Excel, SharePoint, PowerBI) and clinical trial digital applications (IRT, ERP, Veeva, etc.) Pursue progress, discover extraordinary null Pursue Progress . Discover Extraordinary . Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

Job Responsibilities : Reading survey charts and giving necessary inputs Interpretation of all types of drawings pertaining to various disciplines of engineering Planning the construction activities and defining the role / responsibility of each team member / department Ensuring that the contractors / vendors are identified and finalised timely Ensuring that the Work Order / Purchase Orders are placed in time Guiding the Contracts department for finalizing rates Guiding the Materials department for smooth delivery of materials to various sites Coordination with other departments like Engineering, Design, Procurement, Commercial etc. Ensuring that all the statutory requirements of the projects are complied with Planning the Manpower Requirement and optimum utilisation of Manpower Identify critical paths and activities Documentation & Drawings control Budgeting and obtaining Budget approval Safety management &Quality Management Evaluate requirement of machines required for various applications Tracking of procurement cost vis a vis Budget Education Requirement : B.E. / B Tech (Civil / Mech) Master in Business Management Experience Requirement : 18-20 yrs. Experience Should have handled the construction activities in large projects in Industrial projects of Refinery, Petrochemical, Oil & Gas, Telecommunication, and Power Plants etc. Should have worked as Construction Manager for the last 5 years and handled projects to the tune of100-200 crores Skills & Competencies : Knowledge of various survey practices Knowledge in RCC construction of Industrial structures and Architectural buildings Knowledge in Area Grading, Soil investigation, Strata Stratification Knowledge in Drilling techniques Knowledge in blasting operations Knowledge in structural erection works Knowledge in Rigging Schemes Knowledge in Precasting / Prestressing works Knowledge in basic electrical activities like earthing and cabling Basic knowledge in Instrumentation works like PLC, relay setting, panels etc. Basic knowledge in alternators, transmission and power generation equipment Knowledge in Construction technology & Management Methodology & practices in Contract Management Project schedule & network based techniques Knowledge in QA/QC procedures and NDT Safety Policies & needs Construction field International Quality standards Material control & reconciliation procedure Work order, purchase order procedures, billing methods and labour laws

Job Tittle: R&D Global Supply Study Support Location - Hyderabad About the job At Sanofi R&D, we develop future medicines that improve patients' lives worldwide. Our Clinical Supply Chain Operation (CSCO) department is responsible for packaging and distributing Investigational Medical Products (IMPs) to patients globally for clinical testing. The Global Supply Study Support (GSSS) provides support - on activities that can be centralized - to a worldwide team of CSC SL (Clinical Supply Chain Study Leader) located mainly in USA, France and China in charge to coordinate the flow of our investigational products ensuring quality, timely delivery, regulatory compliance, and accurate tracking through our internal systems. The GSSS will report to the GSSS Team Leader (India) and interact with the Clinical Supply Chain stakeholders. Main responsibilities include: Common : Clinical Trial & Supply Knowledge Understanding of clinical trial design, protocols, regulatory requirements (GxP) Understanding of clinical endpoints, patient randomization processes, study arms, dosing regimens, cohort management, stratification factors Understanding of investigational product management in clinical trial including kit types, shelf life, IMP production plan, depot management, IMP distribution, IMP reconciliation, returns/destruction. Level 1 responsibilities: Create and manage transfers to depot in IRT, customize them in Sanofi supply tool and maintain the Inventory Product Stock Management (IPSM) tracker. Manage destruction of expired IMP and AxMP throughout the study lifecycle, performing appropriate actions in related Sanofi tools (ERP, RAID…) Monitor IRT interface failures with Sanofi supply tools and promptly alert the CSC SL. Support CSC SL by accurately capturing supply plans in Sanofi Clinical Supplies tools (ERP) Perform global reconciliation of studies in Sanofi supply tools and follow up discrepancy investigations with appropriate stakeholders (CSC SL, IPMs, CRA, Investigational sites) Provide filing and archiving support for IMP-related documents, including uploading documents into eTMF to ensure inspection readiness. Level 2 responsibilities: Support the CSC SL in monitoring IMP and AxMP stock levels throughout the study. Alert Promptly CSC SL in case of shortage risk. Assist the CSC SL in tracking shipments throughout the study duration. Prepare and Maintain mandatory shipment documentation prior shipment preparation (value for custom, country-specific documentation, study pre-requisite documents) Support the CSC SL in preparation for regulatory inspections. Manage service provider purchase orders and invoices, ensuring regular financial tracking and compliance. About you Bachelor’s degree required (advanced degree preferred, scientific discipline preferred) with at least 2 years of operational experience in pharmaceutical production, Supply Chain, Quality and/or clinical trials. Basic knowledge of clinical development, Good Clinical Practice (GCP) and Good Manufacturing Practice (GMP). Strong organizational skills with ability to manage multiple concurrent tasks efficiently. Demonstrated ability to work autonomously with methodology approach to meet guidelines and deadlines. Experience working in a global, multi-cultural, multidisciplinary environment. Effective communication both written and verbal Adaptability to changing and challenging work environments, including technical environments changes. Near-native fluency written and spoken in English Proficiency with MS Office applications (Word, Excel, SharePoint, PowerBI) and clinical trial digital applications (IRT, ERP, Veeva, etc.) Pursue progress, discover extraordinary null

Location: Kolkata, India Reports To: CTO About Cozeva Cozeva is a leading population health and value-based care platform that empowers payers, providers, and patients with data-driven insights. We are building the next generation of healthcare intelligence — integrating AI/ML, FHIR interoperability, and digital quality standards — to transform healthcare delivery and equity. Role Overview We are seeking a Senior Applied ML Engineer to bridge the gap between research and production. This role is for someone who understands both machine learning models and enterprise-scale software systems — ensuring Cozeva’s AI innovations are deployed, monitored, and scaled reliably within our SaaS platform. You will work at the intersection of data science, AI, and software engineering, helping turn prototypes into high-performing, production-grade AI features that power value-based care. Key Responsibilities ● Model Integration & Deployment ○ Embed ML/AI models (LLMs, NLP, risk models, forecasting) into Cozeva’s software workflows and APIs. ○ Build production pipelines for training, evaluation, and deployment on cloud-native infrastructure. ● Scalable Systems Engineering ○ Design and maintain distributed data pipelines for claims, clinical, and EHR data. ○ Ensure performance, reliability, and cost efficiency of AI workloads (Aurora MySQL, Redshift, S3, EC2/K8s). ● MLOps Practices ○ Implement CI/CD for ML (model versioning, automated retraining, monitoring, rollback). ○ Monitor live model performance, drift, and fairness, ensuring compliance with Cozeva’s AI Governance Framework v1.1. ● Applied Problem Solving ○ Partner with AI Scientists to productionize models for: ■ NLP abstraction of clinical data (EHR notes, CCDs, FHIR). ■ Risk stratification and hospitalization/ED prediction. ■ Member engagement and HCC suspect modeling. ● Collaboration ○ Work closely with data engineers, SDEs, and product teams to deliver AI-driven features in Cozeva’s SaaS stack. Minimum Qualifications ● Bachelor’s or Master’s in Computer Science, AI/ML, or related field. ● 5–8 years of experience in building and deploying ML models into production. ● Strong software engineering skills: Python, SQL, Docker/Kubernetes, distributed systems. ● Experience with ML frameworks (PyTorch, TensorFlow, Hugging Face) and MLOps tools (MLflow, Kubeflow, SageMaker, or equivalent). ● Deep understanding of cloud infrastructure (AWS preferred: S3, EC2, RDS/Aurora, Redshift, IAM). ● Track record of delivering production-ready ML/AI features at scale. Preferred Qualifications ● Experience with healthcare data (claims, EHR, FHIR, CCDs). ● Knowledge of value-based care, risk adjustment, or quality measurement. ● Experience designing responsible AI systems (bias detection, explainability, auditing). ● Contributions to open-source ML/MLOps projects. Why Join Cozeva? ● Mission with Impact: Improve health equity and outcomes for millions of patients. ● Hands-On AI: Deploy frontier models (LLMs, NLP, forecasting) directly into a SaaS platform. ● High Visibility: Collaborate closely with the CTO, scientists, and engineering leaders. ● Global Collaboration: Work with top-tier AI talent across the US and India. ● Culture of Service: Rooted in transparency, collaboration, and impact.

About The Opportunity A leading provider in the tertiary cardiac care and cardiothoracic surgical services sector, delivering high-volume, complex cardiac procedures across adult and pediatric populations. We are recruiting an experienced perioperative specialist to join an on-site multidisciplinary cardiac team and help raise standards of anaesthetic care, safety and outcomes. Primary title (standardized): Cardiac Anesthesiologist Location: India | Workplace: On-site Role & Responsibilities Deliver safe, evidence-based anaesthesia for cardiac surgeries (CABG, valve repair/replacement, congenital procedures, transplant) including induction, maintenance and emergence. Perform perioperative assessments and optimise high-risk cardiac patients—pre-operative evaluation, risk stratification and tailored anaesthetic plans. Manage invasive haemodynamic monitoring and guide inotropic/vasoactive therapy; interpret arterial, central and pulmonary artery catheter data to direct intra-op management. Use and interpret transesophageal echocardiography (TEE) to guide surgical and anaesthetic decisions during procedures. Oversee cardiopulmonary bypass (CPB) transitions, coordinate with perfusionists and surgical teams; respond to intraoperative emergencies and haemodynamic crises. Handover and provide ongoing postoperative care in the cardiac ICU, participate in rounds, protocols for analgesia, ventilation and fast-track extubation pathways. Skills & Qualifications Must-Have MBBS with MD/DNB in Anaesthesiology (or equivalent) plus 2–5 years demonstrable experience in cardiac anaesthesia or completed Fellowship in Cardiac Anaesthesia. Hands-on competency in TEE (basic mandatory; advanced preferred) and managing CPB-related perioperative care. Proven ability with invasive haemodynamic monitoring, vasoactive/inotropic drug titration and management of complex cardiac cases in high-volume centres. Current ACLS certification, excellent airway management skills and familiarity with ultrasound-guided regional/vascular access techniques. Preferred Experience with pediatric cardiac anaesthesia, ECMO support or heart transplant programs. Prior exposure to quality improvement, protocol development, teaching responsibilities and multidisciplinary heart-team workflows. Benefits & Culture Highlights Competitive compensation package with performance-linked incentives and structured shift/roster for work–life balance. Collaborative multidisciplinary environment—cardiac surgeons, perfusionists and intensivists with strong focus on training, CME and skills development. Access to advanced OR monitoring, TEE suites and opportunity to lead clinical audits, research and protocol-led improvements. We seek a decisive, clinically excellent Cardiac Anesthesiologist committed to patient safety, continual learning and multidisciplinary collaboration. Apply if you have a track record of managing complex cardiac cases and want to contribute to a high-performance cardiac surgical program in India (on-site). Skills: cardiac anesthesia,critical care,general anesthesia

Are you passionate about turning real-world healthcare data into actionable insights that improve patient outcomes? At Prospection , we empower better healthcare decisions by uncovering meaning from large-scale health data sets and delivering powerful, data-driven strategies. We’re looking for an Analytics Consultant to join our fast-growing team. This is a hands-on role where you’ll leverage advanced data analytics, predictive modelling, and real-world data (RWD) to deliver high-impact outcomes for pharmaceutical companies, healthcare providers, and governments—across Australia and globally. About Us Prospection is a pioneer in healthcare analytics, applying machine learning, predictive modelling, and advanced SQL/Python analytics to real-world datasets—claims, EMR, registries, and supply chain. From immuno-oncology to hepatitis, our insights have supported 70+ therapy areas worldwide . What You’ll Do Support the full lifecycle of pharmaceutical products—from development to market launch and post-market monitoring—using advanced analytics to uncover key trends and opportunities. Conduct market sizing, cohort analysis, risk stratification, and KPI modelling to inform product and marketing strategies. Build and optimise automated data pipelines (e.g., in Dataiku) to improve reporting efficiency and deliver faster insights. Develop and present interactive dashboards, visualisations, and executive presentations to communicate findings to stakeholders. Partner with Product and Sales teams to translate analytical insights into scalable, productised solutions that align with our platform vision. Collaborate with regional analytics teams, sharing best practices in predictive modelling, machine learning, and advanced SQL querying to ensure consistent quality and innovation. Mentor junior team members, promoting analytical excellence and knowledge sharing. Essential Criteria 5+ years’ experience in commercial Patient Analytics, commercial data analytics, data science, or advanced manipulation and interpretation of real-world healthcare datasets. Proven expertise in SQL (advanced joins, window functions, aggregations) , Python (NumPy, Pandas, Scikit-learn, XGBoost), and data visualisation tools ( Power BI, Excel VBA/Macros, Power Query ). Strong background in healthcare analytics using datasets from providers such as IQVIA, OPTUM, and KOMODO . Experience with predictive modelling, machine learning, risk stratification, and product uptake forecasting . Skilled in dashboard development, storytelling, and executive-level presentations . Degree in a quantitative discipline (e.g., Engineering, Mathematics, Statistics, Computer Science, Health Economics ). Strong interpersonal and communication skills, with the ability to translate complex analytics into actionable business recommendations. Why Join Prospection? Impact: Work on projects that improve healthcare delivery and patient outcomes globally. Growth: Be part of a rapidly scaling company with career advancement opportunities. Culture: Join a collaborative, mission-driven team passionate about healthcare and data. Learning: Access professional development, mentorship, and exposure to advanced analytics technologies. If you’re ready to use your skills in SQL, Python, predictive modelling, and healthcare data analytics to make a real difference, we’d love to hear from you.

The Foundation We are the largest nonprofit fighting poverty, disease, and inequity around the world. Founded on a simple premise: people everywhere, regardless of identity or circumstances, should have the chance to live healthy, productive lives. We believe our employees should reflect the rich diversity of the global populations we aim to serve. We provide an exceptional benefits package to employees and their families which include comprehensive medical, dental, and vision coverage with no premiums, generous paid time off, paid family leave, foundation-paid retirement contribution, regional holidays, and opportunities to engage in several employee communities. As a workplace, we’re committed to creating an environment for you to thrive both personally and professionally. The Team The India Country Office (ICO) is central to the foundation’s commitment to advancing equitable health outcomes and strengthening India’s health innovation ecosystem. The Digital, Health Innovations, and Artificial Intelligence (DHAI) Cluster is a core enabler of the ICO’s key goals across our portfolio. The cluster advances R&D and innovation across foundational research; medical devices, vaccines, and drugs, as well as data-science methods (modeling, AI-enabled tools). We approach this by accelerating R&D and the deployment of affordable, high-quality, accessible devices, working with the Government of India - at central and state level, academia, industry, and global networks. Your Role As a Program Officer, Medical Devices you will play a crucial role in shaping and managing a portfolio of critical investments focused on advancing medical device technologies that support improved maternal, neonatal, and women’s health, including devices for respiratory distress syndrome (RDS) management, intrapartum monitoring, antenatal care innovations, as well as neonatal care device packages and risk-stratification tools with the potential to improve public health outcomes in high-burden populations. You will collaborate with internal and external partners to drive innovative solutions, making sure that medical devices are designed, tested, and deployed effectively in public health programs. You will bring expertise in medical device development, including clinical use case prioritization and validation, market and product specifications, development, regulatory pathways, and market access strategies, and work closely with product development partners, global health organizations, and policymakers to ensure successful putting into practice of devices for maternal, neonatal, and respiratory health. The role is based and reports to the foundation’s ICO in New Delhi, and reports to the Senior Manager, Medical Devices. What You’ll Do This is a highly collaborative role and will involve working with multiple Program Strategy Teams (PSTs) in Seattle and teams across the ICO, for new product development and scaling. In this role you will: Design, structure, and manage critical grants and contracts for medical device innovation for maternal, neonatal, and women health conditions aligned with India and PST goals. Identify and select partner institutions and shape scope and strategy for selected grants and contracts to meet selected strategic goals. Apply milestone-based performance metrics and help with go/no-go decision-making. Provide technical and strategic support to grantees and contractors, making sure alignment with foundation priorities. Review interim and final reports; write final evaluation and synthesize and document lessons learned across related grants and contracts. Collaborate closely with foundation teams in Seattle and ICO on the medical devices for maternal, neonatal, and respiratory health. Analyze opportunities based on the latest and most innovative thinking in maternal, neonatal, and respiratory health needs to find opportunities for diagnostic investments. Establish and maintain relationships with key institutions to build ownership and collaboration to help with adoption and scaling of new/innovative products and technologies Your Experience Bachelor’s in Science or Engineering or related fields is required. Advanced degrees like Master’s or PhD is preferred. Minimum of five years’ experience with preference in medical devices development, regulatory affairs, putting into practice, or market access in India and/or low and middle-income countries (LMICs) contexts. Deep understanding of medical device product development lifecycle - from concept through validation, regulatory approval, and commercialization. Familiarity with India’s medical devices policy ecosystem and experience working with relevant agencies (e.g. Indian Council of Medical Research (ICMR), India regulatory, Department of Biotechnology (DBT), Biodesign programs). Portfolio and project management skills; ability to structure, oversee and review large-scale grants and contracts advancing medical device technologies. Excellent analytical thinking and communications skills, including the ability to synthesize evidence into actionable insights, prepare high-quality briefings and analyses for leadership, and public speaking. Passion for health equity, innovation, and systems change. Demonstrated ability to work in a highly matrixed and diverse work environment, with strong collaboration, consultative and negotiation skills. Results-driven and self-motivated with ability to inspire the pursuit of excellence. Other Attributes Comfortable in a wide range of cultural, geographic and operational situations, demonstrating culturally sensitive behavior with a diverse range of people and a deep commitment to development issues and high standards of personal integrity. Willingness to travel up to 30% of the time. Must be able to legally work in the country where this position is located without visa sponsorship. Application deadline: 15 September 2025 Hiring Requirements As part of our standard hiring process for new employees, employment will be contingent upon successful completion of a background check. Candidate Accommodations If you require assistance due to a disability in the application or recruitment process Inclusion Statement We are dedicated to the belief that all lives have equal value. We strive for a global and cultural workplace that supports ever greater diversity, equity, and inclusion — of voices, ideas, and approaches — and we support this diversity through all our employment practices. All applicants and employees who are drawn to serve our mission will enjoy equality of opportunity and fair treatment without regard to race, color, age, religion, pregnancy, sex, sexual orientation, disability, gender identity, gender expression, national origin, genetic information, veteran status, marital status, and prior protected activity.

The Foundation We are the largest nonprofit fighting poverty, disease, and inequity around the world. Founded on a simple premise: people everywhere, regardless of identity or circumstances, should have the chance to live healthy, productive lives. We believe our employees should reflect the rich diversity of the global populations we aim to serve. We provide an exceptional benefits package to employees and their families which include comprehensive medical, dental, and vision coverage with no premiums, generous paid time off, paid family leave, foundation-paid retirement contribution, regional holidays, and opportunities to engage in several employee communities. As a workplace, we’re committed to creating an environment for you to thrive both personally and professionally. The Team The India Country Office (ICO) is central to the foundation’s commitment to advancing equitable health outcomes and strengthening India’s health innovation ecosystem. The Digital, Health Innovations, and Artificial Intelligence (DHAI) Cluster is a core enabler of the ICO’s key goals across our portfolio. The cluster advances R&D and innovation across foundational research; medical devices, vaccines, and drugs, as well as data-science methods (modeling, AI-enabled tools). We approach this by accelerating R&D and the deployment of affordable, high-quality, accessible devices, working with the Government of India - at central and state level, academia, industry, and global networks. Your Role As a Program Officer, Medical Devices you will play a crucial role in shaping and managing a portfolio of critical investments focused on advancing medical device technologies that support improved maternal, neonatal, and women’s health, including devices for respiratory distress syndrome (RDS) management, intrapartum monitoring, antenatal care innovations, as well as neonatal care device packages and risk-stratification tools with the potential to improve public health outcomes in high-burden populations. You will collaborate with internal and external partners to drive innovative solutions, making sure that medical devices are designed, tested, and deployed effectively in public health programs. You will bring expertise in medical device development, including clinical use case prioritization and validation, market and product specifications, development, regulatory pathways, and market access strategies, and work closely with product development partners, global health organizations, and policymakers to ensure successful putting into practice of devices for maternal, neonatal, and respiratory health. The role is based and reports to the foundation’s ICO in New Delhi , and reports to the Senior Manager, Medical Devices. What You’ll Do This is a highly collaborative role and will involve working with multiple Program Strategy Teams (PSTs) in Seattle and teams across the ICO, for new product development and scaling. In this role you will: Design, structure, and manage critical grants and contracts for medical device innovation for maternal, neonatal, and women health conditions aligned with India and PST goals. Identify and select partner institutions and shape scope and strategy for selected grants and contracts to meet selected strategic goals. Apply milestone-based performance metrics and help with go/no-go decision-making. Provide technical and strategic support to grantees and contractors, making sure alignment with foundation priorities. Review interim and final reports; write final evaluation and synthesize and document lessons learned across related grants and contracts. Collaborate closely with foundation teams in Seattle and ICO on the medical devices for maternal, neonatal, and respiratory health. Analyze opportunities based on the latest and most innovative thinking in maternal, neonatal, and respiratory health needs to find opportunities for diagnostic investments. Establish and maintain relationships with key institutions to build ownership and collaboration to help with adoption and scaling of new/innovative products and technologies Your Experience Bachelor’s in Science or Engineering or related fields is required. Advanced degrees like Master’s or PhD is preferred. Minimum of five years’ experience with preference in medical devices development, regulatory affairs, putting into practice, or market access in India and/or low and middle-income countries (LMICs) contexts. Deep understanding of medical device product development lifecycle - from concept through validation, regulatory approval, and commercialization. Familiarity with India’s medical devices policy ecosystem and experience working with relevant agencies (e.g. Indian Council of Medical Research (ICMR), India regulatory, Department of Biotechnology (DBT), Biodesign programs). Portfolio and project management skills; ability to structure, oversee and review large-scale grants and contracts advancing medical device technologies. Excellent analytical thinking and communications skills, including the ability to synthesize evidence into actionable insights, prepare high-quality briefings and analyses for leadership, and public speaking. Passion for health equity, innovation, and systems change. Demonstrated ability to work in a highly matrixed and diverse work environment, with strong collaboration, consultative and negotiation skills. Results-driven and self-motivated with ability to inspire the pursuit of excellence. Other Attributes Comfortable in a wide range of cultural, geographic and operational situations, demonstrating culturally sensitive behavior with a diverse range of people and a deep commitment to development issues and high standards of personal integrity. Willingness to travel up to 30% of the time. Must be able to legally work in the country where this position is located without visa sponsorship. Application deadline : 15 September 2025 Hiring Requirements As part of our standard hiring process for new employees, employment will be contingent upon successful completion of a background check. Candidate Accommodations If you require assistance due to a disability in the application or recruitment process, please submit a request here. Inclusion Statement We are dedicated to the belief that all lives have equal value. We strive for a global and cultural workplace that supports ever greater diversity, equity, and inclusion — of voices, ideas, and approaches — and we support this diversity through all our employment practices. All applicants and employees who are drawn to serve our mission will enjoy equality of opportunity and fair treatment without regard to race, color, age, religion, pregnancy, sex, sexual orientation, disability, gender identity, gender expression, national origin, genetic information, veteran status, marital status, and prior protected activity.

The Foundation We are the largest nonprofit fighting poverty, disease, and inequity around the world. Founded on a simple premise: people everywhere, regardless of identity or circumstances, should have the chance to live healthy, productive lives. We believe our employees should reflect the rich diversity of the global populations we aim to serve. We provide an exceptional benefits package to employees and their families which include comprehensive medical, dental, and vision coverage with no premiums, generous paid time off, paid family leave, foundation-paid retirement contribution, regional holidays, and opportunities to engage in several employee communities. As a workplace, we’re committed to creating an environment for you to thrive both personally and professionally. The Team The India Country Office (ICO) is central to the foundation’s commitment to advancing equitable health outcomes and strengthening India’s health innovation ecosystem. The Digital, Health Innovations, and Artificial Intelligence (DHAI) Cluster is a core enabler of the ICO’s key goals across our portfolio. The cluster advances R&D and innovation across foundational research; medical devices, vaccines, and drugs, as well as data-science methods (modeling, AI-enabled tools). We approach this by accelerating R&D and the deployment of affordable, high-quality, accessible devices, working with the Government of India - at central and state level, academia, industry, and global networks. Your Role As a Program Officer, Medical Devices you will play a crucial role in shaping and managing a portfolio of critical investments focused on advancing medical device technologies that support improved maternal, neonatal, and women’s health, including devices for respiratory distress syndrome (RDS) management, intrapartum monitoring, antenatal care innovations, as well as neonatal care device packages and risk-stratification tools with the potential to improve public health outcomes in high-burden populations. You will collaborate with internal and external partners to drive innovative solutions, making sure that medical devices are designed, tested, and deployed effectively in public health programs. You will bring expertise in medical device development, including clinical use case prioritization and validation, market and product specifications, development, regulatory pathways, and market access strategies, and work closely with product development partners, global health organizations, and policymakers to ensure successful putting into practice of devices for maternal, neonatal, and respiratory health. The role is based and reports to the foundation’s ICO in New Delhi, and reports to the Senior Manager, Medical Devices. What You’ll Do This is a highly collaborative role and will involve working with multiple Program Strategy Teams (PSTs) in Seattle and teams across the ICO, for new product development and scaling. In this role you will: Design, structure, and manage critical grants and contracts for medical device innovation for maternal, neonatal, and women health conditions aligned with India and PST goals. Identify and select partner institutions and shape scope and strategy for selected grants and contracts to meet selected strategic goals. Apply milestone-based performance metrics and help with go/no-go decision-making. Provide technical and strategic support to grantees and contractors, making sure alignment with foundation priorities. Review interim and final reports; write final evaluation and synthesize and document lessons learned across related grants and contracts. Collaborate closely with foundation teams in Seattle and ICO on the medical devices for maternal, neonatal, and respiratory health. Analyze opportunities based on the latest and most innovative thinking in maternal, neonatal, and respiratory health needs to find opportunities for diagnostic investments. Establish and maintain relationships with key institutions to build ownership and collaboration to help with adoption and scaling of new/innovative products and technologies Your Experience Bachelor’s in Science or Engineering or related fields is required. Advanced degrees like Master’s or PhD is preferred. Minimum of five years’ experience with preference in medical devices development, regulatory affairs, putting into practice, or market access in India and/or low and middle-income countries (LMICs) contexts. Deep understanding of medical device product development lifecycle - from concept through validation, regulatory approval, and commercialization. Familiarity with India’s medical devices policy ecosystem and experience working with relevant agencies (e.g. Indian Council of Medical Research (ICMR), India regulatory, Department of Biotechnology (DBT), Biodesign programs). Portfolio and project management skills; ability to structure, oversee and review large-scale grants and contracts advancing medical device technologies. Excellent analytical thinking and communications skills, including the ability to synthesize evidence into actionable insights, prepare high-quality briefings and analyses for leadership, and public speaking. Passion for health equity, innovation, and systems change. Demonstrated ability to work in a highly matrixed and diverse work environment, with strong collaboration, consultative and negotiation skills. Results-driven and self-motivated with ability to inspire the pursuit of excellence. Other Attributes Comfortable in a wide range of cultural, geographic and operational situations, demonstrating culturally sensitive behavior with a diverse range of people and a deep commitment to development issues and high standards of personal integrity. Willingness to travel up to 30% of the time. Must be able to legally work in the country where this position is located without visa sponsorship. Application deadline: 15 September 2025 Hiring Requirements As part of our standard hiring process for new employees, employment will be contingent upon successful completion of a background check. Candidate Accommodations If you require assistance due to a disability in the application or recruitment process Inclusion Statement We are dedicated to the belief that all lives have equal value. We strive for a global and cultural workplace that supports ever greater diversity, equity, and inclusion — of voices, ideas, and approaches — and we support this diversity through all our employment practices. All applicants and employees who are drawn to serve our mission will enjoy equality of opportunity and fair treatment without regard to race, color, age, religion, pregnancy, sex, sexual orientation, disability, gender identity, gender expression, national origin, genetic information, veteran status, marital status, and prior protected activity.

We are seeking a Data Scientist – Gen AI with hands-on experience in building and deploying data-driven solutions. You will work closely with cross-functional teams to extract insights, develop machine learning models, and deploy scalable analytics solutions across various cloud platforms. As a Data Scientist – Gen AI, you’ll play a key role in harnessing data to drive better outcomes, improve performance, and enhance the lives of those served by our clients. Key Responsibilities: Design and implement predictive models and machine learning algorithms to solve healthcare-specific challenges Analyze large, complex healthcare datasets including electronic health records (EHR) and claims data Develop statistical models for patient risk stratification, treatment optimization, population health management, and revenue cycle optimization Build models for clinical decision support, patient outcome prediction, care quality improvement, and revenue cycle optimization Create and maintain automated data pipelines for real-time analytics and reporting Work with healthcare data standards (HL7 FHIR, ICD-10, CPT, SNOMED CT) and ensure regulatory compliance Develop and deploy models in cloud environments while creating visualizations for stakeholders Present findings and recommendations to cross-functional teams including clinicians, product managers, and executives Qualifications required: Bachelor's degree in data science, Statistics, Computer Science, Mathematics, or related quantitative field At least 2 years of hands-on experience in data science, analytics, or machine learning roles Demonstrated experience working with large datasets and statistical modeling Proficiency in Python or R for data analysis and machine learning Experience with SQL and database management systems Knowledge of machine learning frameworks such as scikit-learn, TensorFlow, PyTorch Familiarity with data visualization tools such as Tableau, Power BI, matplotlib, ggplot2 Experience with version control systems (Git) and collaborative development practices Strong foundation in statistics, hypothesis testing, and experimental design Experience with supervised and unsupervised learning techniques Knowledge of data preprocessing, feature engineering, and model validation Understanding of A/B testing and causal inference methods Experience with cloud platforms and big data technologies such as Spark, Hadoop What You’ll Need to Be Successful (Required Skills): Large Language Model (LLM) Experience: At least 2 years of hands-on experience working with pre- trained language models (GPT, BERT, T5) including fine-tuning, prompt engineering, and model evaluation techniques Generative AI Frameworks: Proficiency with generative AI libraries and frameworks such as Hugging Face Transformers, Lang Chain, OpenAI API, or similar platforms for building and deploying AI applications Prompt Engineering and Optimization: Experience designing, testing, and optimizing prompts for various use cases including text generation, summarization, classification, and conversational AI applications Vector Databases and Embeddings: Knowledge of vector similarity search, embedding models, and vector databases (Pinecone, We aviate, Chroma) for building retrieval-augmented generation (RAG) systems AI Model Evaluation: Experience with evaluation methodologies for generative models including BLEU scores, ROUGE metrics, human evaluation frameworks, and bias detection techniques Multi-modal AI Systems: Familiarity with multi-modal generative models combining text, images, and other data types, including experience with vision-language models and cross-modal applications AI Safety and Alignment: Understanding of responsible AI practices including content filtering, bias mitigation, hallucination detection, and techniques for ensuring AI outputs align with business requirements and ethical guidelines Education/ Certifications: Bachelor’s or master’s degree in computer science, Data Science, Statistics, Engineering, or a related field. Preferred Skills: At least 1 year of experience working with healthcare data or in healthcare IT environments Familiarity with electronic health record (EHR) systems and healthcare workflows Understanding of healthcare data privacy regulations (HIPAA, HITECH) Knowledge of clinical data standards and interoperability frameworks Knowledge of MLOps practices and model deployment pipelines Familiarity with natural language processing for clinical text analysis Experience with time series analysis for patient monitoring data Why Join Us? At Netsmart you’ll work on exciting challenges that shape the future of healthcare. You’ll have the opportunity to: Collaborate with talented professionals passionate about technology. Work in a supportive and inclusive environment where your growth is prioritized. Access professional development opportunities, including certifications and training. Enjoy a competitive compensation package and comprehensive benefits. #India Netsmart is proud to be an equal opportunity workplace and is an affirmative action employer, providing equal employment and advancement opportunities to all individuals. We celebrate diversity and are committed to creating an inclusive environment for all associates. All employment decisions at Netsmart, including but not limited to recruiting, hiring, promotion and transfer, are based on performance, qualifications, abilities, education and experience. Netsmart does not discriminate in employment opportunities or practices based on race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, age, physical or mental disability, past or present military service, or any other status protected by the laws or regulations in the locations where we operate. Netsmart desires to provide a healthy and safe workplace and, as a government contractor, Netsmart is committed to maintaining a drug-free workplace in accordance with applicable federal law. Pursuant to Netsmart policy, all post-offer candidates are required to successfully complete a pre-employment background check, which is provided at Netsmart’s sole expense.

Job description: Job Description Title- Senior Analyst Job Title: ‘Senior Analyst’ SME (Subject Matter Expert) • Agency Pre-screening and ICM: Screening/underwriting of Agency Loans (Fannie Mae), deriving Underwriting Value, using financial spreading, rent roll analysis and creation of Investment Committee Memo. • Non-Agency/Deal Pre-screening and ICM: Screening/underwriting of Non-Agency Loans, deriving Underwriting Value, using financial spreading, rent roll analysis and creation of ICM. • Loan Portfolio Stratification and ICM: Stratification of portfolio of loans belonging to various asset classes, assessing their risk exposure using their property level, loan level and performance metrices. • Extracting market and asset specific statistics from various data sources (for eg: CoStar or similar platforms) for the pipeline deals which are shortlisted for screening or underwriting. • Comparing the key deal metrics which includes Occupancy, Cap Rates, Debt Yield, Cash Flow, NOI etc. of the pipeline deals with existing portfolio. • Analyzing property pictures & map for location-based insights, preparing the capital stack (i.e., Equity vs. Debt) and presenting them in an excel and ppt format. • Collecting and preparing sales and rent comparable of the target originations with the market data sourced through broker reports or web-based applications. • Studying the demographics to understand the unit mixes, interpreting all sources of incomes & expenses through review of cash flows, ascertaining vacancy rates & rental income using rent rolls and using NOI to calculate key liquidity ratios i.e., DSCR, DY etc. • Creating investment memorandums with the deal team ahead of investment committee. • Conducting due diligence prior to closing of deal as per closing checklist. • Data input in pipeline tool (i.e., DealPath, Loan Tapes) as and when required. Essential Skills & Experience: • Must have a good knowledge of US Real Estate Industry and Market in underwriting the CML/CRE loans across all the sectors; along with hand on experience in underwriting the Multifamily agency (Freddie & Fannie) loans. • Should be aware of the US taxes for different States and Counties; along with knowledge of various rent/sales comparable to be used in accordance with subject properties. • Must be well versed with concepts of Cap Rate/Index rate/ LTC/LTV/Spreads/Cap Stack, Implied vs Cash Equity and various loan specific terminologies. In addition, should know the implications and effect of UW In-place and Mark to Market assumptions using property financials and its demographics through broker provided offering memorandum. • Candidate should have the knowledge of US Market and Sub-Market to understand the deal’s demographics and its impact on the subject property. • Hand on experience and proficient in preparing the dynamic financial models in MS excel. • Master’s degree – Major in Finance or Banking and Capital Markets, CFA designation a plus. • Exceptional quantitative aptitude and skill set with a mastery of Microsoft Office applications. • Ability to manage multiple priorities in a fast paced, fluid environment. • Previous background with real estate lending required with Debt Underwriting’ in real estate preferable. • Rigorous analytical mindset with a high level of intellectual curiosity and excellent problem-solving skills. • Acute focus on attention to detail, accuracy, and data validation. • Effective communication skills (listening, verbal, and written). • Excellent interpersonal and teamwork skills. • Sound judgment and discretion. • Strong initiative, energy and confidence completing assignments with limited supervision.

We are seeking a Data Scientist – ML with hands-on experience in building and deploying data-driven solutions. You will work closely with cross-functional teams to extract insights, develop machine learning models, and deploy scalable analytics solutions across various cloud platforms. As a Data Scientist – ML, you’ll play a key role in harnessing data to drive better outcomes, improve performance, and enhance the lives of those served by our clients. Key Responsibilities: Design and implement predictive models and machine learning algorithms to solve healthcare-specific challenges Analyze large, complex healthcare datasets including electronic health records (EHR) and claims data Develop statistical models for patient risk stratification, treatment optimization, population health management, and revenue cycle optimization Build models for clinical decision support, patient outcome prediction, care quality improvement, and revenue cycle optimization Create and maintain automated data pipelines for real-time analytics and reporting Work with healthcare data standards (HL7 FHIR, ICD-10, CPT, SNOMED CT) and ensure regulatory compliance Develop and deploy models in cloud environments while creating visualizations for stakeholders Present findings and recommendations to cross-functional teams including clinicians, product managers, and executives Qualifications Required: At least 2 years of hands-on experience in data science, analytics, or machine learning roles Demonstrated experience working with large datasets and statistical modeling Proficiency in Python , Python Anaconda library for data analysis and machine learning Experience with SQL and database management systems Experience with ML and Deep Learning frameworks using one or more of TensorFlow, PyTorch, Keras, scikit-learn, MLFlow, Kubeflow. Familiarity with data visualization tools such as Tableau, Power BI, matplotlib, ggplot2 Experience with version control systems (Git) and collaborative development practices Strong foundation in statistics, hypothesis testing, and experimental design Experience with supervised and unsupervised learning techniques Knowledge of data preprocessing, feature engineering, and model validation Understanding of A/B testing and causal inference methods Experience with cloud platforms and big data technologies such as Spark, Hadoop What You’ll Need to Be Successful (Required Skills): Advanced Algorithm Implementation: At least 1-2 years of experience implementing and optimizing machine learning algorithms from scratch, including deep understanding of algorithmic complexity, hyperparameter tuning, and performance optimization techniques Model Pipeline Development: Proficiency in designing and building end-to-end ML pipelines including data ingestion, feature engineering, model training, validation, and deployment using tools like Apache Airflow, Kubeflow, or MLflow Cross-Validation and Model Selection: Experience with advanced model validation techniques including k-fold cross-validation, stratified sampling, time series validation, and ensemble methods for robust model selection and performance estimation Feature Engineering and Selection: Deep knowledge of feature engineering techniques including dimensionality reduction (PCA, t-SNE, UMAP), feature selection methods, and automated feature engineering approaches for improving model performance Model Interpretability and Explainability: Experience with model interpretation techniques such as SHAP, LIME, permutation importance, and other explainable AI methods to understand and communicate model decision-making processes Deep Learning Architectures: Familiarity with designing and implementing custom neural network architectures including CNNs, RNNs, Transformers, and experience with transfer learning and model fine-tuning techniques MLOps and Model Monitoring: Understanding of machine learning operations including automated model retraining, drift detection, A/B testing for ML models, and continuous integration/continuous deployment (CI/CD) practices for ML systems Education/ Certifications: Bachelor’s or master’s degree in computer science, Data Science, Statistics, Engineering, or a related field. Preferred Skills: At least 1 year of experience working with healthcare data or in healthcare IT environments Familiarity with electronic health record (EHR) systems and healthcare workflows Understanding of healthcare data privacy regulations (HIPAA, HITECH) Knowledge of clinical data standards and interoperability frameworks Knowledge of MLOps practices and model deployment pipelines Familiarity with natural language processing for clinical text analysis Experience with time series analysis for patient monitoring data Why Join Us? At Netsmart you’ll work on exciting challenges that shape the future of healthcare. You’ll have the opportunity to: Collaborate with talented professionals passionate about technology. Work in a supportive and inclusive environment where your growth is prioritized. Access professional development opportunities, including certifications and training. Enjoy a competitive compensation package and comprehensive benefits. #India Netsmart is proud to be an equal opportunity workplace and is an affirmative action employer, providing equal employment and advancement opportunities to all individuals. We celebrate diversity and are committed to creating an inclusive environment for all associates. All employment decisions at Netsmart, including but not limited to recruiting, hiring, promotion and transfer, are based on performance, qualifications, abilities, education and experience. Netsmart does not discriminate in employment opportunities or practices based on race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, age, physical or mental disability, past or present military service, or any other status protected by the laws or regulations in the locations where we operate. Netsmart desires to provide a healthy and safe workplace and, as a government contractor, Netsmart is committed to maintaining a drug-free workplace in accordance with applicable federal law. Pursuant to Netsmart policy, all post-offer candidates are required to successfully complete a pre-employment background check, which is provided at Netsmart’s sole expense.

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Job Purpose and RoleLead 'Next-Gen' Shared Services Quality Organization by consistently 'Raising-the-bar' on service-delivery standards & enable low-risk & zero-surprises BAUPrimary Duties & Responsibilities Lead and develop a high-performing team supporting Account/s and provide exceptional quality assurance services to WNS clients Drive & improve efficiency, leading to better operating margins with strong focus on governance, timelines and risk management Redesign & deploy sampling and stratification strategy based on Compliance checks , Financial processes (volume & Value mix ) Errors, Customer priorities & Agent performance SLA baselining, predictive SLA monitoring & reporting Provide thought leadership, creative solutions & leverage problem solving techniques to drive continuous improvement Serve as an integral part of the enterprise ecosystem by participating in strategic projects, RFPs, Client visits Digitalization of Quality Assurance Delivery – embed Digital tools to strengthen audit mechanism & control framework Provide meaningful business insights to all stakeholders; in-depth statistical analysis, defects, exceptions and trends leading to performance enhancement & client experience Demonstrate Leadership Behaviors (e.g. Enterprise Thinking, Effective and Quick Decision Making, Making Collaboration Essential) Foster a spirit of continuous learning & collaboration across teams Qualifications Desired Experience and Skills Graduate / Post Graduate Overall work experience of minimum 12 yrs.; Minimum 6 years in to Management role of managing transactional & strategic quality Lean Six sigma Black belt certified Mandatory Experience of working in F&A Accounts (PTP, OTC, RTR towers mandatory) Experience in automation of aspects of Quality function Knowledge & experience of Agile methodology & demonstrate a digital mindset Should have analytical bent of mind along with lateral thinking. Strong work ethic with a will-to-win attitude, demonstrates personal excellence, lives the growth mindset and WNS Values Ability to work through unstructured problems, shifting priorities, multiple demands, ambiguity and rapid change

Job Title : Machine Learning Engineer Experience Level : 5 - 8 Years Location : Chennai About The Role We are seeking a highly skilled and experienced Machine Learning Engineer to join our innovative team within the U.S. healthcare payer sector. You will be instrumental in designing, developing, and deploying cutting-edge machine learning models that address critical business challenges, improve operational efficiency, and enhance member outcomes. This role demands a strong understanding of ML principles, robust software engineering practices, and familiarity with the unique complexities of healthcare data. Qualification Responsibilities : Design, develop, and implement scalable machine learning models and algorithms to solve complex problems related to claims processing, fraud detection, risk stratification, member engagement, and predictive analytics within the payer landscape. Collaborate closely with data scientists, product managers, and other engineering teams to translate business requirements into technical specifications and deliver end-to-end ML solutions. Develop and optimize ML model training pipelines, ensuring data quality, feature engineering, and efficient model iteration. Conduct rigorous model evaluation, hyperparameter tuning, and performance optimization using statistical analysis and best practices. Integrate ML models into existing applications and systems, ensuring seamless deployment and operation. Write clean, well-documented, and production-ready code, adhering to high software engineering standards. Participate in code reviews, contribute to architectural discussions, and mentor junior engineers. Stay abreast of the latest advancements in machine learning, healthcare technology, and industry best practices, actively proposing innovative solutions. Ensure all ML solutions comply with relevant healthcare regulations and data privacy standards (e.g., HIPAA). Required Technical Skills Programming Language : Expert proficiency in Python. Machine Learning Libraries : Strong experience with PyTorch and scikit-learn. Version Control : Proficient with Git and GitHub. Testing : Solid understanding and experience with Python unittest framework and Pytest for unit, integration, and API testing. Deployment : Hands-on experience with Dockerized deployment on AWS or Azure cloud platforms. CI/CD : Experience with CI/CD pipelines using AWS CodePipeline or similar alternatives (e.g., Jenkins, GitLab CI). Cloud Platforms : Experience with AWS or Azure services relevant to ML workloads (e.g., Sagemaker, EC2, S3, Azure ML, Azure Functions) (ref:hirist.tech)

Internship: Data Modelling & AI Experience (Healthcare Startup) Location: Remote /Kolkata preferred Duration: [3–6 months] Department: Data & AI Innovation Reports To: Head of Data Science / Product Lead About Us We are looking for this candidate for a client of ours,a fast-growing healthcare technology startup on a mission to transform patient care and outcomes through data-driven insights and AI-powered solutions. By combining clinical expertise with advanced data modelling, we empower healthcare providers, patients, and partners to make better decisions that improve lives. About the Role We are seeking a Data Modelling Intern with AI experience to support our data and product teams. In this role, you will help translate complex healthcare data into actionable insights, working on projects that directly impact patient engagement, care delivery, and operational efficiency. You’ll gain hands-on experience with healthcare datasets, predictive modelling, and AI applications in a business-driven context. Key Responsibilities Assist in developing and refining data models to support patient care insights, risk stratification, and outcome predictions. Support data cleaning, preprocessing, and validation of structured and unstructured healthcare datasets (EHR, claims, patient-reported data, etc.). Collaborate with product managers, clinicians, and data scientists to translate business needs into AI-driven solutions . Build dashboards, visualizations, and reports that communicate findings to both technical and non-technical stakeholders. Contribute to proof-of-concept AI models that improve efficiency in clinical workflows or patient engagement. Stay current on trends in AI for healthcare, predictive analytics, and regulatory considerations (HIPAA compliance, data ethics). Preferred Skills & Qualifications Pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Public Health Informatics, or related fields. Strong knowledge of data modelling, databases, and healthcare data formats . Familiarity with Python (pandas, NumPy, scikit-learn) and SQL ; bonus if experienced with TensorFlow/PyTorch. Interest in healthcare analytics , population health, or digital health solutions. Strong problem-solving, communication, and business analysis skills. Ability to work in a fast-paced startup environment , balancing multiple priorities. What You’ll Gain Hands-on experience applying AI and data science to real-world healthcare challenges . Mentorship from startup founders, clinicians, and experienced data leaders. Exposure to healthcare data systems and regulatory-compliant analytics. Opportunity to see your work directly influence patient outcomes and business growth . A pathway to future roles in healthcare data science, healthtech product development, or AI strategy . Job Type: Internship Contract length: 6 months Pay: ₹15,000.00 - ₹20,000.00 per month Education: Bachelor's (Required) License/Certification: data modelling with AI (Required) Work Location: Remote

Job title: AI/ML Data Scientist Location: Hyderabad About the job Transform healthcare through innovation. At Sanofi, we're not just developing treatments—we're pioneering the future of healthcare by harnessing the power of data insights and responsible AI to accelerate breakthrough therapies. As an AI/ML Scientist on our AI and Computational Sciences team, you'll: Drive innovation that directly impacts patient outcomes Collaborate with world-class scientists to solve complex healthcare challenges Apply advanced AI techniques to increase drug development success rates Shape the responsible use of AI in life-saving medical research Be part of a mission that matters. Help us transform data into life-changing treatments and join a team where your expertise can make a meaningful difference in patients' lives. Our Team : The AI and Computational Sciences team is a key team within R&D Digital, focused on image, omics, wearable sensor data, and clinical data analytics. This team plays a critical role in bridging the gap between general purposed digital products and specific project needs. We are looking for a skilled AI/ML Data Scientist to join our elite AI and Computational Sciences team and harness cutting-edge AI to revolutionize healthcare. As a key player within R&D Digital, you'll transform complex data into life-changing medical breakthroughs. Impact You'll Make Drive innovation across multiple high-impact domains: Precision Medicine: Develop patient response prediction models that personalize treatments Advanced Omics Analysis: Pioneer cell type and cell stage quantification techniques Advanced Image/Video Analysis: Lead application of state-of-art computer vision methods for gaining unprecedented insights about drug efficacy from medical images/videos Digital Health: Design novel biomarkers from wearable sensor data Biological Insights: Create enzyme property prediction algorithms and conduct disease pathway analyses Your Growth Journey Technical Mastery: Develop expertise across image analysis, time series modeling, GenAI, AI Agents, and explainable AI Scientific Impact: Publish in top-tier AI/ML journals and secure patents that protect groundbreaking innovations Global Influence: Deploy solutions that impact patients worldwide Your Environment Elite Team: Work alongside AI/ML experts and drug development experts in an agile, high-performance environment Cutting-Edge Resources: Access Sanofi's state-of-the-art cloud infrastructure and data platforms Continuous Learning: Receive mentorship and training opportunities to sharpen your leadership and AI/ML skills Join Our AI-First Vision Be part of Sanofi's bold transformation into an AI-first organization where you'll: Develop your skills through world-class mentorship and training Chase the miracles of science to improve people's lives Ready to transform healthcare through the power of AI? Main Responsibilities : Research Phase Excellence Design and implement AI models for target identification and validation using multi-omics data (genomics, proteomics, transcriptomics) Develop predictive algorithms to molecular design for compound selection and accelerate lead optimization Create computer vision systems for high-throughput screening image analysis and cellular phenotyping Clinical Development Innovation Engineer digital biomarkers from wearable sensors and mobile devices to enable objective, continuous patient monitoring Implement advanced time-series analysis of real-time patient data to detect early efficacy signals Design AI-powered patient stratification models to identify responder populations and optimize trial design Multi-Modal Data Integration Architect systems that harmonize diverse data types (imaging, omics, clinical, text, sensor) into unified analytical frameworks Develop novel feature extraction techniques across modalities to enhance predictive power Create visualization tools that present complex multi-modal insights to clinical teams Scientific Impact Collaborate with cross-functional teams to translate AI insights into actionable drug development strategies Present findings to scientific and business stakeholders with varying technical backgrounds Publish innovative methodologies in top-tier scientific and AI/ML journals Contribute to patent applications to protect novel AI/ML approaches About you Experience : 3 to 5 years of experience in AI/ML and computational model development on multimodal data like omics, biomedical imaging, text and clinical trials data Key Functional Requirement: Demonstrated track record of successful AI/ML project implementation 3-5 years of experience in computational modeling or AI/ML algorithm development, or any other related field Deep understanding and proven track record of developing model training pipelines and workflows Excellent communication and collaboration skills Working knowledge and comfort working with Agile methodologies Technical Skills : Programming Proficiency: Advanced Python skills with experience in ML frameworks (PyTorch, TensorFlow, JAX) Machine Learning: Deep expertise in supervised, unsupervised, and reinforcement learning algorithms Drug discovery: molecular design, docking, binding site prediction, mRNA vaccine design, ADMET property, protein structure prediction, molecular dynamics simulation Deep Learning: Experience designing and implementing neural network architectures (CNNs, RNNs, Transformers) Computer Vision: Proficiency in image processing, segmentation, and object detection techniques (SAM, ViT, Diffusion Models, MediaPipe, MMPose, MonoDepth, VoxelNet, SlowFast, C3D) Natural Language Processing: Experience with large language models, text mining, and information extraction (OpenAI, Claude, Llama, Qwen, Deepseek model series) Time Series Analysis: Expertise in analyzing temporal data from sensors and wearable devices (HAR foundation models, compliance detection models) Omics Analysis: Knowledge of computational methods for protein genomics, proteomics, or transcriptomics data Cloud Computing: Experience deploying ML models on cloud platforms (AWS) Tools and Technologies : Data Processing: Experience with data pipelines and ETL processes Version Control: Proficiency with Git and collaborative development workflows, Docker MLOps: Experience with model deployment, monitoring, and maintenance Visualization: Ability to create compelling data visualizations (Matplotlib, Seaborn, Plotly) Experiment Tracking: Familiarity with tools like MLflow, Weights & Biases, or similar platforms Soft Skills : Strong scientific communication abilities for technical and non-technical audiences Collaborative mindset for cross-functional team environments Problem-solving approach with ability to translate business needs into technical solutions Self-motivated with capacity to work independently and drive projects forward Education : PhD/MS/BE/BTech/ME/MTech in Computer Science and Engineering, AI/ML, other relevant engineering discipline, Computational Biology, Data Science, Bioinformatics or related fields (with equivalent experience) Preferred : Publications or public github Languages : English Why Choose us? Bring the miracles of science to life alongside a supportive, future-focused team Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs Opportunity to work in an international environment, collaborating with diverse business teams and vendors, working in a dynamic team, and fully empowered to propose and implement innovative ideas. Pursue Progress . Discover Extraordinary . Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! null

Job title: AI/ML Data Scientist Location: Hyderabad About The Job Transform healthcare through innovation. At Sanofi, we're not just developing treatments—we're pioneering the future of healthcare by harnessing the power of data insights and responsible AI to accelerate breakthrough therapies. As an AI/ML Scientist on our AI and Computational Sciences team, you'll: Drive innovation that directly impacts patient outcomes Collaborate with world-class scientists to solve complex healthcare challenges Apply advanced AI techniques to increase drug development success rates Shape the responsible use of AI in life-saving medical research Be part of a mission that matters. Help us transform data into life-changing treatments and join a team where your expertise can make a meaningful difference in patients' lives. Our Team The AI and Computational Sciences team is a key team within R&D Digital, focused on image, omics, wearable sensor data, and clinical data analytics. This team plays a critical role in bridging the gap between general purposed digital products and specific project needs. We are looking for a skilled AI/ML Data Scientist to join our elite AI and Computational Sciences team and harness cutting-edge AI to revolutionize healthcare. As a key player within R&D Digital, you'll transform complex data into life-changing medical breakthroughs. Impact You'll Make Drive Innovation Across Multiple High-impact Domains Precision Medicine: Develop patient response prediction models that personalize treatments Advanced Omics Analysis: Pioneer cell type and cell stage quantification techniques Advanced Image/Video Analysis: Lead application of state-of-art computer vision methods for gaining unprecedented insights about drug efficacy from medical images/videos Digital Health: Design novel biomarkers from wearable sensor data Biological Insights: Create enzyme property prediction algorithms and conduct disease pathway analyses Your Growth Journey Technical Mastery: Develop expertise across image analysis, time series modeling, GenAI, AI Agents, and explainable AI Scientific Impact: Publish in top-tier AI/ML journals and secure patents that protect groundbreaking innovations Global Influence: Deploy solutions that impact patients worldwide Your Environment Elite Team: Work alongside AI/ML experts and drug development experts in an agile, high-performance environment Cutting-Edge Resources: Access Sanofi's state-of-the-art cloud infrastructure and data platforms Continuous Learning: Receive mentorship and training opportunities to sharpen your leadership and AI/ML skills Join Our AI-First Vision Be part of Sanofi's bold transformation into an AI-first organization where you'll: Develop your skills through world-class mentorship and training Chase the miracles of science to improve people's lives Ready to transform healthcare through the power of AI? Main Responsibilities Research Phase Excellence Design and implement AI models for target identification and validation using multi-omics data (genomics, proteomics, transcriptomics) Develop predictive algorithms to molecular design for compound selection and accelerate lead optimization Create computer vision systems for high-throughput screening image analysis and cellular phenotyping Clinical Development Innovation Engineer digital biomarkers from wearable sensors and mobile devices to enable objective, continuous patient monitoring Implement advanced time-series analysis of real-time patient data to detect early efficacy signals Design AI-powered patient stratification models to identify responder populations and optimize trial design Multi-Modal Data Integration Architect systems that harmonize diverse data types (imaging, omics, clinical, text, sensor) into unified analytical frameworks Develop novel feature extraction techniques across modalities to enhance predictive power Create visualization tools that present complex multi-modal insights to clinical teams Scientific Impact Collaborate with cross-functional teams to translate AI insights into actionable drug development strategies Present findings to scientific and business stakeholders with varying technical backgrounds Publish innovative methodologies in top-tier scientific and AI/ML journals Contribute to patent applications to protect novel AI/ML approaches About You Experience : 3 to 5 years of experience in AI/ML and computational model development on multimodal data like omics, biomedical imaging, text and clinical trials data Key Functional Requirement Demonstrated track record of successful AI/ML project implementation 3-5 years of experience in computational modeling or AI/ML algorithm development, or any other related field Deep understanding and proven track record of developing model training pipelines and workflows Excellent communication and collaboration skills Working knowledge and comfort working with Agile methodologies Technical Skills Programming Proficiency: Advanced Python skills with experience in ML frameworks (PyTorch, TensorFlow, JAX) Machine Learning: Deep expertise in supervised, unsupervised, and reinforcement learning algorithms Drug discovery: molecular design, docking, binding site prediction, mRNA vaccine design, ADMET property, protein structure prediction, molecular dynamics simulation Deep Learning: Experience designing and implementing neural network architectures (CNNs, RNNs, Transformers) Computer Vision: Proficiency in image processing, segmentation, and object detection techniques (SAM, ViT, Diffusion Models, MediaPipe, MMPose, MonoDepth, VoxelNet, SlowFast, C3D) Natural Language Processing: Experience with large language models, text mining, and information extraction (OpenAI, Claude, Llama, Qwen, Deepseek model series) Time Series Analysis: Expertise in analyzing temporal data from sensors and wearable devices (HAR foundation models, compliance detection models) Omics Analysis: Knowledge of computational methods for protein genomics, proteomics, or transcriptomics data Cloud Computing: Experience deploying ML models on cloud platforms (AWS) Tools And Technologies Data Processing: Experience with data pipelines and ETL processes Version Control: Proficiency with Git and collaborative development workflows, Docker MLOps: Experience with model deployment, monitoring, and maintenance Visualization: Ability to create compelling data visualizations (Matplotlib, Seaborn, Plotly) Experiment Tracking: Familiarity with tools like MLflow, Weights & Biases, or similar platforms Soft Skills Strong scientific communication abilities for technical and non-technical audiences Collaborative mindset for cross-functional team environments Problem-solving approach with ability to translate business needs into technical solutions Self-motivated with capacity to work independently and drive projects forward Education : PhD/MS/BE/BTech/ME/MTech in Computer Science and Engineering, AI/ML, other relevant engineering discipline, Computational Biology, Data Science, Bioinformatics or related fields (with equivalent experience) Preferred : Publications or public github Languages : English Why Choose us? Bring the miracles of science to life alongside a supportive, future-focused team Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs Opportunity to work in an international environment, collaborating with diverse business teams and vendors, working in a dynamic team, and fully empowered to propose and implement innovative ideas. Pursue Progress . Discover Extraordinary . Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! null Pursue Progress . Discover Extraordinary . Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

Job Responsibilities : Reading survey charts and giving necessary inputs Interpretation of all types of drawings pertaining to various disciplines of engineering Planning the construction activities and defining the role / responsibility of each team member / department Ensuring that the contractors / vendors are identified and finalised timely Ensuring that the Work Order / Purchase Orders are placed in time Guiding the Contracts department for finalizing rates Guiding the Materials department for smooth delivery of materials to various sites Coordination with other departments like Engineering, Design, Procurement, Commercial etc. Ensuring that all the statutory requirements of the projects are complied with Planning the Manpower Requirement and optimum utilisation of Manpower Identify critical paths and activities Documentation & Drawings control Budgeting and obtaining Budget approval Safety management &Quality Management Evaluate requirement of machines required for various applications Tracking of procurement cost vis a vis Budget Education Requirement : B.E. / B Tech (Civil / Mech) Master in Business Management Experience Requirement : 18-20 yrs. Experience Should have handled the construction activities in large projects in Industrial projects of Refinery, Petrochemical, Oil & Gas, Telecommunication, and Power Plants etc. Should have worked as Construction Manager for the last 5 years and handled projects to the tune of100-200 crores Skills & Competencies : Knowledge of various survey practices Knowledge in RCC construction of Industrial structures and Architectural buildings Knowledge in Area Grading, Soil investigation, Strata Stratification Knowledge in Drilling techniques Knowledge in blasting operations Knowledge in structural erection works Knowledge in Rigging Schemes Knowledge in Precasting / Prestressing works Knowledge in basic electrical activities like earthing and cabling Basic knowledge in Instrumentation works like PLC, relay setting, panels etc. Basic knowledge in alternators, transmission and power generation equipment Knowledge in Construction technology & Management Methodology & practices in Contract Management Project schedule & network based techniques Knowledge in QA/QC procedures and NDT Safety Policies & needs Construction field International Quality standards Material control & reconciliation procedure Work order, purchase order procedures, billing methods and labour laws

Job Description & Roles and responsibilities: Computational Biology/Bioinformatics Specialist/Senior Scientific Analyst - II (Full Time Employment): Excelra is looking for highly skilled and motivated computational biologist with expertise in Omics (NGS) analysis to join the Bioinformatics team involving projects related to raw sequence (scRNA-Seq/ATAC-Seq/WGS/Chip-Seq/RNA-Seq/Exome sequencing & genome assembly /annotations) analysis and downstream systematic interpretation. The successful candidate will be responsible for developing novel pipelines to optimize omics analysis implementation for the division’s core service areas including genomics data analysis, drug repurposing, biomarker identification, patient stratification, disease modelling and data integration. Qualifications: • Master’s degree with 2 - 3 years of industrial experience in Bioinformatics, Computer Science, Computational Biology, or related field. • Strong track record of scRNA-Seq and other Omics (NGS) data analysis and downstream systemic interpretation are must. • Good understanding of current best practices in computational biology data-management (NGS/Transcriptiomics/Microarray/Proteomics/Clinical-trials/Text-mining, etc.). • Expertise in one or more programming/scripting languages such as R, Python, shell-script for complex data analysis. • Experience with Docker and Nextflow. Strong background in population genomics, including GWAS, eQTL/pQTL analyses WES/WGS sequencing data analyses, and statistical analyses of rare and common variants. • Familiarity with machine learning is an added advantage. • Experience with Linux environment or cloud computing (AWS/GCP) is a plus. • Experience with Relational database such as Postgres, MySQL, or Oracle • Experience with version control systems such as GitHub. • Ability to generate in-silico experimental workflows and in-depth knowledge in proprietary and public biological databases, methods, and tools. • Ability to generate scientific hypothesis along with good scientific/technical communication skills would be preferred. Roles & Responsibilities: The selected candidate will be part of the Excelra’s Bioinformatics group. You will be responsible to work with a team in research data analysis in both prospective and retrospective manner to generate the novel hypothesis. • Work with diverse customers/partners in drug discovery and development • Work with multi-disciplinary team of PhD level scientists • Responsible for day-to-day operational activities of Omics (NGS) related projects • Keeping up to date with relevant scientific and technical developments • Present the results and scientific hypotheses to internal and external stake holders • Good communication and analytical skills combined with ability to recognize and implement project plans. • Writing research papers, reports, reviews, and summaries Adjusts his/her behaviour in view of the situations and people, with an eye on the goal. Is open to other opinions, supports change, will step outside the comfort zone and try out new systems. Organises own work in function of the known priorities, procedures and situation, manages time, adheres to the deadlines and assesses external factors correctly in order to reach the goals within the set conditions. Values the goals and interests of the company within the area of expertise and organises work in such a way that the most effective contribution is achieved. Takes action before someone else asks this explicitly. Makes spontaneous suggestions for Improvement, assumes responsibility spontaneously. Develops his/her competencies and acquires new competencies and applies these. Keeps developing and broadening his/her horizon. Finds original out-of-the-box solutions for situations and proposes alternatives for existing solutions, without reinventing the wheel.

Company Description Abybaby is an Agency specialized in Branding, Marketing, and Communication Services, bridging the gap between consumers and clients. We work to revitalize and grow brands across India by establishing and expressing ideas, understanding and solving problems. Our result-oriented approach helps our esteemed clients engage effectively with their prime target customers, contributing to sales growth and increased reach. Our dedication to stratification, innovation, and experience sets us apart in the competitive market. Role Description This is a full-time, on-site role for an Event Manager, located in the Kolkata metropolitan area. The Event Manager will be responsible for planning, coordinating, and executing various events for clients. Day-to-day tasks include managing event logistics, liaising with vendors and clients, handling budgets, and ensuring that events run smoothly and efficiently. The Event Manager will also be responsible for post-event analysis and reporting. Qualifications Event Planning and Coordination skills Experience in Vendor Management and Client Liaison Budget Management and Financial Planning skills Strong Organizational and Time Management skills Excellent Communication and Interpersonal skills Problem-Solving and Crisis Management abilities Ability to work independently and handle multiple tasks Experience in the event management industry is a plus

Are you passionate about turning real-world healthcare data into actionable insights that improve patient outcomes? At Prospection , we empower better healthcare decisions by uncovering meaning from large-scale health data sets and delivering powerful, data-driven strategies. We’re looking for an Analytics Consultant to join our fast-growing team. This is a hands-on role where you’ll leverage advanced data analytics, predictive modelling, and real-world data (RWD) to deliver high-impact outcomes for pharmaceutical companies, healthcare providers, and governments—across Australia and globally. About Us Prospection is a pioneer in healthcare analytics, applying machine learning, predictive modelling, and advanced SQL/Python analytics to real-world datasets—claims, EMR, registries, and supply chain. From immuno-oncology to hepatitis, our insights have supported 70+ therapy areas worldwide . What You’ll Do Support the full lifecycle of pharmaceutical products—from development to market launch and post-market monitoring—using advanced analytics to uncover key trends and opportunities. Conduct market sizing, cohort analysis, risk stratification, and KPI modelling to inform product and marketing strategies. Build and optimise automated data pipelines (e.g., in Dataiku) to improve reporting efficiency and deliver faster insights. Develop and present interactive dashboards, visualisations, and executive presentations to communicate findings to stakeholders. Partner with Product and Sales teams to translate analytical insights into scalable, productised solutions that align with our platform vision. Collaborate with regional analytics teams, sharing best practices in predictive modelling, machine learning, and advanced SQL querying to ensure consistent quality and innovation. Mentor junior team members, promoting analytical excellence and knowledge sharing. Essential Criteria 3+ years’ experience in commercial Patient Analytics, commercial data analytics, data science, or advanced manipulation and interpretation of real-world healthcare datasets. Proven expertise in SQL (advanced joins, window functions, aggregations) , Python (NumPy, Pandas, Scikit-learn, XGBoost), and data visualisation tools ( Power BI, Excel VBA/Macros, Power Query ). Strong background in healthcare analytics using datasets from providers such as IQVIA, OPTUM, and KOMODO . Experience with predictive modelling, machine learning, risk stratification, and product uptake forecasting . Skilled in dashboard development, storytelling, and executive-level presentations . Degree in a quantitative discipline (e.g., Engineering, Mathematics, Statistics, Computer Science, Health Economics ). Strong interpersonal and communication skills, with the ability to translate complex analytics into actionable business recommendations. Why Join Prospection? Impact: Work on projects that improve healthcare delivery and patient outcomes globally. Growth: Be part of a rapidly scaling company with career advancement opportunities. Culture: Join a collaborative, mission-driven team passionate about healthcare and data. Learning: Access professional development, mentorship, and exposure to advanced analytics technologies. If you’re ready to use your skills in SQL, Python, predictive modelling, and healthcare data analytics to make a real difference, we’d love to hear from you.

Your role at Evolent Health as a Senior Analyst, Clinical Analytics will involve working closely with a team of Risk and Quality Analysts to develop and maintain reporting capabilities. You will be responsible for analyzing data, producing reports, and connecting model output to client and program operations. Additionally, you will become a key resource in understanding how risk adjustment applies to various lines of business and identifying quality measure opportunities. Your role will also involve quantifying and forecasting operational returns related to risk adjustment and HEDIS quality measures. Working in a collaborative environment with other innovative professionals, you will design, develop, and maintain cutting-edge risk adjustment and quality reporting solutions. This includes measuring and forecasting risk scores, forecasting quality STARs, monitoring model performance, and identifying areas of improvement. Utilizing tools like SQL and Python, you will produce insights to enhance processes and conduct research to share both internally and externally. To be successful in this role, you must possess a Bachelor's degree in a quantitative major (e.g. actuarial, statistics, economics, engineering, computer science, operations research, applied math) or a healthcare major (health administration, public health). You should have 4-6 years of experience in health analytics, quantitative analysis, or software engineering/programming, along with technical proficiency in MS Office, SQL, Python, and/or SAS. Experience with machine learning concepts and strong communication and presentation skills are essential. A collaborative working style, ability to multitask, prioritize, adapt to change, and work well under pressure in an entrepreneurial environment are also key requirements. Preferred qualifications include the ability to apply technical specifications to healthcare datasets, experience with Medicare, Medicaid, or ACA risk adjustment models, and familiarity with Medicare STARS quality measures. In terms of academic qualifications, a Bachelor's degree is preferred, but candidates with programming-specific associates may also be considered. Please note that all employees are required to have the technical capability to work from home, including high-speed internet (over 10 Mbps) and the ability to connect directly to the home internet router. These requirements are subject to change with any scheduled reopening of office locations. If you don't see a job listing that matches your dream role, feel free to submit your contact information and resume for future consideration. We will reach out to you if a perfect fit becomes available.,

About Jivi Jivi is transforming primary healthcare with an AI-powered clinical agentic platform designed for 8 billion people. Our flagship product, a super health app, combines an AI doctor and longevity coach. It provides a full-stack solution covering sickness, prevention, and wellness. In just six months, 500,000 users from 170+ countries have already used Jivi. The company was founded by Ankur Jain (BharatPe, WalmartLabs, Stanford), GV Sanjay Reddy (Reddy Ventures, Aragen), and Andrew Ng 's AI Fund (Coursera, DeepLearning). Together, they bring deep expertise in AI, medicine, and scaling billion-dollar ventures. Jivi is powered by groundbreaking research in Large Language Models (LLMs). Our MedX model is ranked #1 globally, surpassing OpenAI and Google Gemini in diagnostic accuracy. Additionally, our AudioX model boasts the lowest word error rate for Indic languages. Jivi’s health knowledge base, one of the largest in the world, plays a key role in training these models. In the spirit of fostering innovation, we’ve open-sourced these models on Hugging Face for the AI community. Jivi has been recognized for its innovation with awards such as the NASSCOM’s Digital Adoption Pioneer Award and the IndiaAI Mission Award. We are proud to be a global leader in AI healthcare. Job Overview We are looking for a passionate Clinical Affairs Associate / Sr. Associate to drive clinical accuracy, evidence-based feature design, and quality control for our AI-driven healthcare solutions. You'll work on transforming clinical knowledge into structured, intelligent workflows powering LLM agents, screening tools, diagnostic support systems, and more. Key Responsibilities 🔹 Clinical Research & Evidence Translation Research and synthesise national & international guidelines (e.g., ICMR, WHO, ADA). Translate clinical knowledge into structured logic, care pathways, and decision trees. Draft high-quality prompts for AI agents across use cases like diagnostics, triaging, and screening. 🔹 AI Agent Design & Prompt Engineering Develop intelligent, clinically validated agents to power patient interactions and backend systems. Build multi-agent models for diagnostics, risk stratification, nutrition support, and mental health screening. 🔹 Validation & Quality Control Review AI outputs for safety, accuracy, and alignment with intended clinical use. Conduct testing, scenario audits, and help refine clinical workflows and edge cases. 🔹 Documentation & Research Contribute to white papers, SOPs, and structured research briefs. Assist in drafting clinical knowledge bases and AI validation frameworks. 🔹 Cross-functional Collaboration Work with product, data science, engineering, and regulatory teams to operationalise clinical logic. Contribute to innovations in AI-powered obesity care, mental health triage, and public health solutions. Experience and Qualifications 1–3 years in clinical affairs, digital health, or AI-healthcare roles Hands-on experience with clinical workflows, research, or hospital-based care Familiarity with clinical guideline repositories and structured knowledge representation Bachelor's degree (MBBS/BAMS/BHMS/BPT/Nursing preferred) Master’s in Public Health, Health Informatics, Clinical Research, or AI in Healthcare is a plus Why Work with Jivi? Make a Global Impact : Shape AI-driven healthcare solutions that transform billions of lives and revolutionize global wellness. Accelerate Your Career : Enjoy competitive salaries, growth opportunities, and the chance to take on leadership roles as Jivi scales. Lead in a High-Growth Environment : Own key initiatives, influence company strategy, and drive impactful health projects in a dynamic, fast-paced setting. Collaborate with the Best : Work alongside top professionals in AI and healthcare, learn from experts, and contribute to breakthrough innovations. Jivi’s Products: Jivi is available as a mobile app or as an AI assistant on WhatsApp. You can access Jivi: iOS app Android app WhatsApp Jivi in Media: Economic Times - https://tinyurl.com/m3kep5at Reuters - https://tinyurl.com/mpcs6dpx Inc42 - https://tinyurl.com/emsdas55 Many more - https://www.jivi.ai/news