621 Bioinformatics Jobs - Page 2

Company Description At The D Y Patil Group, we are committed to ensuring a better tomorrow by prioritizing the welfare of our people over commercial profits. Our group believes that the future belongs not just to technology or advanced software, but to our core strength – our people. We strive to create an empowering environment that places people’s welfare at the forefront of all our activities. Role Description This is a full-time, on-site role for a PhD Student in NGS and Genomics located at D Y Patil International University, Akurdi, Pune. The PhD Student will be responsible for conducting research in next-generation sequencing (NGS) and genomics, including data analysis, experimental design, and collaborating with interdisciplinary teams. Daily tasks will include sample preparation, sequencing, analyzing genomic data, and writing and presenting research findings. The role also involves contributing to grant writing and publishing scientific papers. Qualifications Strong foundation in NGS and genomic data analysis Experience in experimental design and sample preparation for sequencing Proficiency in bioinformatics tools and software Excellent research and analytical skills Strong written and verbal communication skills Ability to work independently and collaboratively with interdisciplinary teams Master’s degree in Genomics, Bioinformatics, or a related field Knowledge of statistical methods and programming languages such as R or Python is a plus

Company Description Spectrity.bio fuses biology with AI to create programmable therapeutics, accelerating development while conserving resources. Our AI-powered platform integrates cutting-edge technology with deep biological understanding to fast-track drug discovery and development from target identification to clinical translation. By providing essential tools and insights, we aim to bring life-saving therapeutics to market more efficiently. We are eager to collaborate with scientists, biotech teams, and pharma innovators interested in programmable therapies and AI-first R&D. Role Description This is a full-time on-site role for a Bioinformatics Scientist located in Bengaluru. The Bioinformatics Scientist will be responsible for conducting day-to-day tasks that include DNA sequencing, data analysis, and research. They will also employ statistical methods for data interpretation and contribute to sequencing projects. The position involves working closely with interdisciplinary teams to advance our AI-powered therapeutic solutions. Qualifications Experience with DNA Sequencing and Sequencing projects Proficiency in Data Analysis and statistical methods Strong research skills Ability to work collaboratively in an interdisciplinary team Excellent problem-solving and analytical skills Doctoral degree in Bioinformatics, Computational Biology, or related field Experience with AI and machine learning applications in biology is a plus

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Data Engineer -R&D-Multi Omics What You Will Do Let’s do this. Let’s change the world. In this vital role you will be responsible for development and maintenance of software in support of target/biomarker discovery at Amgen. Design, develop, and implement data pipelines, ETL/ELT processes, and data integration solutions Contribute to data pipeline projects from inception to deployment, manage scope, timelines, and risks Contribute to data models for biopharma scientific data, data dictionaries, and other documentation to ensure data accuracy and consistency Optimize large datasets for query performance Collaborate with global cross-functional teams including research scientists to understand data requirements and design solutions that meet business needs Implement data security and privacy measures to protect sensitive data Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions Collaborate with Data Architects, Business SMEs, Software Engineers and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions Identify and resolve data-related challenges Adhere to best practices for coding, testing, and designing reusable code/component Explore new tools and technologies that will help to improve ETL platform performance Participate in sprint planning meetings and provide estimations on technical implementation Maintain documentation of processes, systems, and solutions What We Expect Of You We are all different, yet we all use our unique contributions to serve patients. The role requires proficiency in scientific software development (e.g. Python, R, Rshiny, Plotly Dash, etc), and some knowledge of CI/CD processes and cloud computing technologies (e.g. AWS, Google Cloud, etc). Basic Qualifications: Master’s degree/Bachelors Degree and 5 to 9 years of Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field experience. Preferred Qualifications: 5+ years of experience in designing and supporting biopharma scientific research data analytics (software platforms. Functional Skills: Must-Have Skills: Proficiency with SQL and Python for data engineering, test automation frameworks (pytest), and scripting tasks Hands on experience with big data technologies and platforms, such as Databricks (or equivalent), Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing Excellent problem-solving skills and the ability to work with large, complex datasets Good-to-Have Skills: Experience the git, CICD and the software development lifecycle Experience with SQL and relational databases (e.g PostgreSQL, MySQL, Oracle) or Databricks Experience with cloud computing platforms and infrastructure (AWS preferred) Experience using and adopting Agile Framework A passion for tackling complex challenges in drug discovery with technology and data Basic understanding of data modeling, data warehousing, and data integration concepts Experience with data visualization tools (e.g. Dash, Plotly, Spotfire) Experience with diagramming and collaboration tools such as Miro, Lucidchart or similar tools for process mapping and brainstorming Experience writing and maintaining technical documentation in Confluence Professional Certifications: Databricks Certified Data Engineer Professional preferred Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills High degree of initiative and self-motivation. Demonstrated presentation skills Ability to manage multiple priorities successfully. Team-oriented with a focus on achieving team goals. What You Can Expect Of Us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Manager Software Engineering What You Will Do Let’s do this. Let’s change the world. We are seeking a Manager - Software Engineering to lead the design and development of software data and analytics applications to drive business decisions for Research. The ideal candidate possesses a deep understanding of software engineering principles, coupled with strong leadership and problem-solving skills. This position requires close collaboration with business analysts, scientists, and other engineers to create high-quality, scalable software solutions. You will continuously strive for innovation in the technologies and practices used for software engineering and develop a team of expert software engineers. You will collaborate with multi-functional teams, including, platform, functional IT, and business collaborators, to ensure that the solutions that are built align with business goals and are scalable, secure, and efficient. Roles & Responsibilities: Talent Growth & People Leadership: Lead, mentor, and manage a high-performing team of engineers, fostering an environment that encourages learning, collaboration, and innovation. Focus on nurturing future leaders and providing growth opportunities through coaching, training, and mentorship. Partner closely with product team owners, the business team including scientists, and other collaborators to lead the software engineering solutioning, ensuring deliverables are completed on time and within scope to deliver real value and meet business objectives Design, develop, and implement applications and modules, including custom reports, interfaces, and enhancements Analyze and understand the functional and technical requirements of applications, solutions and systems and translate them into software architecture and design specifications Develop and implement unit tests, integration tests, and other testing strategies to ensure the quality of the software Work closely with product team, business team including scientists, and other collaborators What We Expect Of You We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree with 4 - 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Bachelor’s degree with 6 - 8 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Diploma with 10 - 12 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field Excellent leadership and project management skills, with the ability to manage multiple priorities simultaneously Proficient in General Purpose High Level Language (e.g. NodeJS/Koa, Python or Java) Proficient in Javascript UI Framework (e.g. React or ExtJs) Proficient in SQL (e.g. Oracle, PostGres or Databricks) Preferred Qualifications: 3+ years of experience in implementing and supporting custom software development for drug discovery Strong understanding of cloud platforms (e.g AWS) and containerization technologies (e.g., Docker, Kubernetes) Experience in automated testing tools and frameworks (e.g. Jest, Playwright, Cypress or Selenium) Experience with DevOps practices and CI/CD pipelines Experience with big data technologies (e.g., Spark, Databricks) Experienced with API integration, serverless, microservices architecture Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Splunk) Experience of infrastructure as code (IaC) tools (Terraform, CloudFormation) Experience with version control systems like Git Strong understanding of software development methodologies, mainly Agile and Scrum Strong problem solving, analytical skills; Ability to learn quickly & work independently; Excellent communication and interpersonal skills Professional Certifications AWS Certified Cloud Practitioner preferred Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated presentation skills What You Can Expect Of Us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

YOUR RESPONSIBILITIES Develop and deliver course content, including assessments and academic questions, for engineering students Create interactive learning resources and simulations To plan deliverables to meet the timeline To actively participate and contribute towards the growth of the organization YOU CAN APPLY IF YOU ARE Passionate about the education sector and content writing B.Tech + M.Tech/MSc (Chemical / Aeronautical / Bio-Technology / Bio-Engineering / Bio-Informatics) SKILLS THAT WE ARE LOOKING FOR Subject matter expertise Proficient in MS office Creative writing Strong conceptual and analytical thinking Effective verbal and written communication Ability to work independently and also in a team

Job Title: Senior Bioinformatician GCL: D2 Introduction to role Are you ready to tackle some of the most challenging informatics problems in the drug discovery clinical trial phase? Join us as a Senior Bioinformatician and be part of a team that is redefining healthcare. Your work will directly impact millions of patients by advancing the standard of drug discovery through data processing, analysis, and algorithm development. Collaborate with informaticians, data scientists, and engineers to deliver ground breaking solutions that drive scientific insights and improve the quality of candidate drugs. Are you up for the challenge? Accountabilities Collaborate with scientific colleagues across AstraZeneca to ensure informatics and advanced analytics solutions meet R&D needs. Develop and deliver informatics solutions using agile methodologies, including pipelining approaches and algorithm development. Contribute to multi-omics drug projects with downstream analysis and data analytics. Create, benchmark, and deploy scalable data workflows for genome assembly, variant calling, annotation, and more. Implement CI/CD practices for pipeline development across cloud-based and HPC environments. Apply cloud computing platforms like AWS for pipeline execution and data storage. Explore opportunities to apply AI & ML in informatics. Engage with external peers and software providers to apply the latest methods to business problems. Work closely with data scientists and platform teams to deliver scientific insights. Collaborate with informatics colleagues in our Global Innovation and Technology Centre. Essential Skills/Experience Masters/PhD (or equivalent) in Bioinformatics, Computational Biology, AI/ML, Genomics, Systems Biology, Biomedical Informatics, or related field with a demonstrable record of informatics and Image analysis delivery in a biopharmaceutical setting. Strong coding and software engineering skills such as Python, R, Scripting, Nextflow. Over 6 years of experience in Image analysis/bioinformatics, with a focus on Image/NGS data analysis and Nextflow (DSL2) pipeline development. Proficiency in cloud platforms preferably AWS (e.g. S3, EC2, Batch, EBS, EFS etc) and containerization tools (Docker, Singularity). Experience with workflow management tools and CI/CD practices in Image analysis and bioinformatics (Git, GitHub, GitLab), HPC in AWS. Experience in working with any multi-omics analysis (Transcriptomics, single cell and CRISPR etc ) or Image data (DICOM, WSI etc) analysis. Experience working with any Omics tools and databases such as NCBI, PubMED, UCSC genome databrowser, bedtools, samtools, Picard or imaging relevant tools such as CellProfiler, HALO, VisioPharm particularly in digital pathology and biomarker research. Strong communication skills, with the ability to collaborate effectively with team members and partners to achieve objectives. Desirable Skills/Experience Experience in Omics or Imaging data analysis in a Biopharmaceutical setting. Knowledge of Dockers, Kubernetes for container orchestration. Experience with other workflow management systems, such as (e.g. Apache Airflow, Nextflow, Cromwell, AWS StepFunctions). Familiarity with web-based bioinformatics tools (e.g., RShiny, Jupyter). Experience with working in GxP-validated environments. Experience administering and optimising a HPC job scheduler (e.g. SLURM). Experience with configuration automation and infrastructure as code (e.g. Ansible, Hashicorp Terraform, AWS CloudFormation, Amazon Cloud Developer Kit). Experience deploying infrastructure and code to public cloud, especially AWS. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca, we are driven by a shared purpose to push the boundaries of science and develop life-changing medicines. Our innovative approach combines ground breaking science with leading digital technology platforms to empower our teams to perform at their best. We foster an environment where you can explore new solutions and experiment with groundbreaking technology. With countless opportunities for learning and growth, you'll be part of a diverse team that works multi-functionally to make a meaningful impact on patients' lives. Ready to make a difference? Apply now to join our team as a Senior Bioinformatician! Date Posted 02-Jul-2025 Closing Date 30-Jul-2025 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Hi Everyone, Urgent Hiring for Medical Claim Analyst Job Title: Medical Claim Analyst Location: Sec-74B, SAS Nagar Mohali Punjab Eligibility: BHMS, BDS, B.pharma and Post Graduation in Life sciences, e.g. Biology, Bio Technology, Bioinformatics, Forensic Science, Microbiology, Pharmacy, Botany, Zoology, Clinical Research Pharmacy, etc. Job Responsibilities: Study and analyze the medical records forwarded by clients for investigation. Make appropriate triggers for investigation. Allocate the case to investigators in field. Monitor the investigation, being done by field Investigators. Draft report of the case as per investigation findings and send it over to the client. Call And Whatsapp 9310679536

Join Our Team as an R&D Manager – Drive Innovation at BioGenex and OmicsVeu! Company: BioGenex and OmicsVeu Location: Hyderabad, India Job Type: Full-Time, On-site About Us: BioGenex and OmicsVeu are leaders in advanced molecular pathology, spatial biology, and precision oncology. Our ground-breaking automated solutions empower laboratories worldwide, enabling superior diagnostics and accelerating transformative research discoveries. Position Overview: We are seeking a dynamic and innovative R&D Manager to lead our research and development efforts. This role is highly hands-on, providing an opportunity to directly contribute to the design, execution, and optimization of projects, from initial concept through to market launch. Key Responsibilities: Lead and actively participate in the development of novel assays, reagents, and automated systems. Design, execute, and optimize experimental protocols with strict adherence to scientific integrity and quality standards. Provide leadership, mentorship, and guidance to multidisciplinary R&D teams, fostering a culture of innovation and continuous improvement. Manage project timelines, budgets, resource allocation, and ensure alignment with company objectives. Collaborate closely with manufacturing, quality assurance, regulatory affairs, marketing, and sales teams for seamless product development and successful commercialization. Stay updated on scientific advancements, integrating new technologies and methodologies into our product portfolio. Qualifications: Ph.D. or Master's degree in Molecular Biology, Cancer Biology, Biotechnology, Bioinformatics, Biochemistry, Life Sciences, or a related discipline. Minimum of 8 years hands-on experience in research and development, including at least 3 years in a managerial or senior scientific role. Strong expertise in cancer biology, molecular pathology, bioinformatics, multiplex and multi-omics assays, spatial biology, spatial transcriptomics, immunohistochemistry (IHC), fluorescence in-situ hybridization (FISH), and related methodologies. Demonstrated ability to lead and inspire cross-functional scientific teams. Exceptional communication and interpersonal skills, with proven ability to collaborate effectively across various internal and external stakeholders. Proven track record of successfully transitioning innovative products from research to commercial markets. Why Choose BioGenex and OmicsVeu? Be part of a globally recognized leader in life science innovation. Engage in meaningful, groundbreaking scientific advancements. Thrive in a collaborative, growth-oriented professional environment. Competitive compensation package, comprehensive benefits, and strong career development opportunities. Apply Today: Join us in our mission to transform precision medicine and molecular diagnostics. Apply now and play a crucial role in shaping the future of life science innovations. #Innovation #R&D #CancerBiology #Bioinformatics #MolecularPathology #SpatialBiology #LifeSciences #HiringNow

Position Title: Digital Product Owner – Chemistry, Manufacturing and Controls (CMC) About Chemistry, Manufacturing And Controls CMC refers to the methods and tests used to ensure that a pharmaceutical product meets the required quality standards before it is approved for market use. It encompasses various aspects of drug development, including formulation, manufacturing processes, and quality control. About The Job We are looking for a Digital Product Owner to lead the development of innovative data products supporting Chemical, Manufacturing and Control operations. This role will work closely with the Product Owner CMC, focusing on enabling data-driven decision-making in CMC operations using the Data Mesh approach. The role requires close collaboration with other data teams, particularly in Manufacturing & Supply (M&S) and mRNA areas, to ensure alignment and synergy across data products. As the Product Owner, you will be responsible for collaborating with digital stakeholders, managing the full product lifecycle from gathering requirements to product delivery and continuous improvement. You will work closely with a dedicated agile team composed of data engineers to deliver high-impact digital products that empower cutting-edge data consumers in research and manufacturing. What You Will Be Doing Product Ownership: Under the supervision of the Senior PO, collaborate to the development and evolution of the CMC Data Product, ensuring it meets scientific, research, and business objectives. Collaborate to the product roadmap, defining clear and actionable goals that align with the strategic direction of the company and the needs of the scientific teams. Gather and prioritize requirements from scientists, technical stakeholders, and cross-functional teams to define the “What” and “Why” of product development. Collaboration & Stakeholder Management: Work closely with scientists, data engineers, and platform engineers to ensure the product meets both scientific and technical requirements. Collaborate with senior leaders and cross-functional teams (including R&D, technology, and operations) to ensure alignment and ensure the product strategy is supported by business cases and industry standards. Product Delivery: Oversee the agile product development process, ensuring smooth product delivery from initial conception to ongoing iterations. Partner with the Scrum Master and delivery team to ensure timely and successful sprints, address challenges, and resolve any ambiguities. Manage backlog prioritization, balancing short-term deliverables with long-term goals and breakthrough ideas. Continuous Improvement: Track the performance and impact of the product post-launch, gathering feedback to drive continuous improvements and enhancements. Monitor user satisfaction, adoption, and scientific outcomes to ensure the product evolves to meet the needs of researchers and business goals. Technical Leadership & Strategic Vision: Develop a strong understanding of CMC workflows and data integration needs, particularly in areas related to drug substance and drug product development, manufacturing, and quality control. Support the vision for innovative solutions in CMC data management and analysis within the Data Mesh architecture. Stay current with developments in data platform technologies, particularly Snowflake, and their applications in the pharmaceutical industry. Key Requirements Experience: 5+ years in product management, preferably with experience in life sciences, pharmaceutical development, or data platforms. Experience working with scientific or technical products in regulated environments. Familiarity with cloud environments and data platform technologies, particularly Snowflake. Soft Skills Strong drive and ability to articulate product vision and align teams around shared goals. Excellent communication, presentation, and collaboration skills, particularly with scientists, engineers, and executive stakeholders. Proven ability to make strategic decisions, overcome roadblocks, and deliver results in a fast-paced, complex environment. Leadership skills to inspire and guide both technical and non-technical teams toward successful product delivery. Technical Skills Solid knowledge of Agile methodologies, including experience working in Scrum teams. Familiarity with bioinformatics tools and ELN (Electronic Laboratory Notebook) systems Strong understanding of Data Modelling, data integration concepts, and data engineering principles. Experience with cloud platforms, AI platforms, and data pipelines is a plus. Knowledge of GxP principles and their application in pharmaceutical data management is a plus. Education master’s degree in computer science, bioinformatics, data science,or a related scientific field. Ph.D. or equivalent experience in relevant scientific domains will take into consideration 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.

The candidate will undergo a self-financed job-oriented patent analyst training at the Indian Institute of Patent and Trademark. On successful completion of the training, they will be placed for full-time patent analysis in the pharmaceutical domain. Required Candidate profile Scientific and Analytical Thinking Eager to work in drugs and formulation Candidates must have sound knowledge about the subjects they study in Graduation

Launching Batch-2 ( After grand success of Ongoing Batch-1) Internship Opportunity at Nanofludiks Research Pvt Ltd (JNU Incubated) for UG/PG Students (B.Tech/M.Tech/B.Sc./M.Sc.)! Theme: OMICSCODE 2.O Internship: Exploring Bioinformatics through Python, Transcriptomics, Single Cell & Metagenomics Apply here: https://forms.gle/tPf3v8DjyQM71hWQ9 ( It is a 1 Month Training by Eminent faculties experts in Industry & Academia) Fees- Rs.5000/- You will receive 1 Month Internship certificate upon successful completion. ABOUT NANOFLUDIKS RESEARCH PVT LTD Nanofludiks Research Pvt Ltd is a cutting-edge biotechnology company incubated at Jawaharlal Nehru University (JNU), New Delhi — one of India’s premier research institutions. It is a JNU spinoff founded under the Atal Incubation Centre – JNU Foundation for Innovation (AIC-JNUFI), a government-supported initiative launched in May 2019 under the Atal Innovation Mission – NITI Aayog. Nanofludiks is among the select 18 biotech-focused companies nurtured within AIC-JNUFI’s vibrant academic–entrepreneurial ecosystem. The company has developed ICLR (Indian Clinical and Life Sciences Research) — a cloud-based biological data analytics platform with applications in healthcare, infectious disease research, and vaccine/drug development. Highlights: Hands-on training in Python, RNA-Seq, Single Cell Analysis & Metagenomics One-to-one mentorship by scientists and industry experts Research publication opportunity (for selected projects) Official Internship Certificate and Letter of Recommendation for outstanding performers Duration: August 16th – September 13th, 2025 Who can apply: Undergraduate/Postgraduate students in Life Sciences, Biotechnology, Microbiology, and related fields. Application Deadline: 10th August, 2025 Seats: 20 (Merit-based and first-come-first-served) Apply here: https://forms.gle/tPf3v8DjyQM71hWQ9 For any queries, contact: nanofludiksresearch@gmail.com / Phone: 9818625731 Nanofludiks Greater Noida Centre- G4, Block-F, Surajpur Industrial Area, Site-4, Greater Noida, 201308 ( Near Venice Mall) www.nanofludiks.com

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS Life Science R&D Technologist in Drug Development: ZS life science R&D team partners with clients to discover and develop innovative medicines that improve patient's lives. Our work spans consulting, analytics and technology (services and platforms) projects across the several domains. We have 3500+ zs professionals that deliver R&D programs, $100MM+ invested in R&D data, analytics and technology assets and 100+ clients on R&D programs. Our Clinical/Drug Development division displays a substantial history of contributing to numerous client projects with significant results in drug development. The Drug Development R&D Technologists possess a deep understanding of technological solutions for clinical development processes including clinical study design, data management, analytics, and quality risk management platforms and products. They are well-versed in software related to clinical trial protocol design, electronic data capture (EDC), external data capture, data conformance, transformation, analysis, and reporting. Our team is well versed about industry standards such as CDISC, FHIR, OMOP, and their respective usage. Our team specializes in designing bespoke solutions or products implementation for clinical design, Clinical data management, and analytics systems. Our team has deep understanding of EDC tools like Rave, Veeva, InForm, openClinica, clinical data repositories like SAS LSAF, Oracle LSH, eCS elluminate, Metadata Repositories like Nurocor, Sycamore, Formedix, statistical computing environments like Sycamore, Domino, Sas Viya systems, Clinical data review systems, RBQM systems, and more. With experience as solution architects, business analysts, or techno-functional SMEs in GXP compliant validated environments, they guide the creation of solution, data flows and strategies for building clinical development and data management systems. Their offerings encompass technical advisory, consultancy, developing of clinical data platforms and products, system integration, and intelligent automation. Additionally, the team has created innovative tools through advanced technology and data science, aiding numerous clients in expediting the drug development process. What You’ll Do: You will design & implement various innovative solutions in the realms of Clinical data management, analytics Work in clinical data management and analytics area as part of strategy building, assessment and technology implementation project as business and data analyst Lead and participate in clinical business process discussions with clients, identify requirements and user stories Conduct online interviews and workshops to gather requirements to support the business needs of users Author high-level user stories and develop related tasks, acceptance criteria and review test cases Participate in clinical business process discussions with clients, identify requirements and user stories Work closely with project teams in creating Requirement Specifications, RTM and other project documents Plan and facilitate various Agile meetings and artefacts, including sprint planning, review & retrospectives, daily stand-ups Perform business process modelling, data flow, user experience modeling, and basic solution architecture diagramming Act as techno-functional Liaison between client business user and project engineering team to provide correct business context, business rules The ideal candidate will have a strong background in the project lifecycle, with experience in large and complex programs. They will have a track record of successfully managing people, and be able to provide support and escalation routes for queries, define and plan analysis deliverables, and agree on analysis approaches. Experience in building a Business Analysis capability, mentoring and upscaling more junior colleagues, and contributing to the growth of a BA community is also essential. What You’ll Bring Bachelor’s degree Pharma/ Bioinformatics / Medicine or related disciplines Master's degree in Business Analyst, Engineering or Science preferred. 3-6 years of experience working within Life Science Domain as solution architect / business analyst / data analyst is required. Experience of working in building solution around drug development -clinical data management areas like discrepancy management, clinical data repositories, clinical issue management, Operational data repositories, operational reports Experience working in end-to-end Clinical Data Repository implementation with Biometrics space will be preferred. Experience working in Clinical data management area as BA or Subject matter expert Understand the end to end process for clinical data management and Analysis Exposure to clinical data coordination and clinical data management area. Experience in building and delivering GxP compliant solutions for large enterprise program is required. Exposure to programming language like R, Python and SAS is preferred. Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying? At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com

1. Advanced skills in statistical and biostatistical analysis 2. Ability to communicate effectively in the English language in person, by phone and in writing 3. Designs, plans, and execute biostatistical components of clinical studies. 4. Uses statistical methodology to conduct studies and prepares statistical components of protocols. 5. Responsible for the statistical components of reports. 6. Develops statistical analysis plans and reporting specifications for clinical studies. 7. Reviews reports and underpins the results with statistical expertise. 8. Prepares and annotates shell data displays 9. Analyzes and interprets results from clinical studies using sound statistical methodology. 10. Contributes to the development of statistical analysis plans including TFL shells. 11. Performs statistical analyses under the guidance of other statisticians or independently for simple clinical studies. 12. Assists with the review of TFLs, tabulation datasets, and derived datasets. 13. Advanced computer skills and practical knowledge of MS Word, Excel, PowerPoint, and project management software.

Ct Us: HR Shanmuga priya 8072891550 This role is open to fresh graduates with excellent English communication skills. You should have at least a Diploma/Degree in any field You pay strong attention to details and are capable of delivering top-quality work DESCRIPTION Medical Coding is the fastest-growing profession in the healthcare industry today. IT is a niche specialization and the demand for trained and certified medical coders is increasing exponentially and bound to increase in upcoming years, especially in India. You are goal-oriented and thrive in fast-paced environments Maintains a working knowledge of CPT-4, ICD-10-CM, and ICD-10-PCS coding principles, governmental regulations, UHDDS (Uniform Hospital Discharge Data Set) guidelines, AHA coding clinic updates, and third-party requirements regarding coding and documentation guidelines Eligibility:All (UG/PG) Life Science& Paramedical Graduates Biochemistry Bioinformatics Microbiology Zoology and Advanced zoology Biology Botany Medical Lab Tech Plant biotechnology Pharmacy(B.Pharm M.pharm) Paramedical Physiotherapy Physician assistant Perks and Benefits Incentives & Benefits as per Corporate Standards

Company Description DrOmics Research Lab, a sister company of DrOmics Labs Private Limited, is a leading molecular diagnostics lab specializing in genetic predisposition testing for major diseases. Based on a 5-year MoU with the Andhra Pradesh Government, DrOmics provides cutting-edge training and internships in NGS Data Analysis, Computer-Aided Drug Design, Artificial Intelligence in Bioinformatics, and more. The company is certified by LSSSDC and recognized as a Startup India company. Dedicated to bridging the gap between academia and industry, DrOmics equips aspiring scientists with the necessary skills and knowledge to excel in research and development. Role Description Location: Andhra Pradesh, Remote+ Field Work (as per requirement) Salary: ₹10,000/month + Attractive Incentives Language: Telugu (Mandatory) Hiring for: Andhra Pradesh Region Job Highlights: Must be fluent in Telugu Open to graduates or final-year students interested in sales Remote work with occasional field visits Must own a bike, smartphone & laptop Company will provide SIM card & travel allowance Eligibility: Any graduate or final-year degree student passionate about sales Candidates with sales experience are highly encouraged to apply Apply now & start your sales career! https://forms.gle/4uE7yCqrEEnAioqr5 Job Types: Full-time, Permanent, Fresher Pay: From ₹10,000.00 per month Benefits: Cell phone reimbursement Flexible schedule Health insurance Paid sick time Paid time off Work from home Language: Hindi, Telugu (Required) Location: Andhra Pradesh (Required) Willingness to travel: 25% (Required)

Job Description Associate Manager, Scientific Data Cloud Engineering The Opportunity Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats. Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company’s IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each Tech Center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centres. Role Overview Our Engineering team builds core components used by our Research Labs data analytics, visualization, and management workflows. The analysis tools and pipelines built for data processing by our team in partnership with our scientists aim to accelerate research and the discovery of new therapies for our patients. We collect, annotate, analyze petabytes of scientific data (multi-omics, chemistry, imaging, safety) used in biomarker research, drug safety/efficacy, drug target discovery, and compendium diagnostic development. We help our scientists to process, analyze scientific data at scale by developing highly parallelized analytical workflows ran on HPC infrastructure (on-prem & cloud); to manage, explore and visualize various scientific data modalities by developing bespoke data models, bioinformatics ETL processes, data retrieval and visualization services using distributed micro-service architecture, FAIR data principles, SPA type dashboards, industry specific regulatory compliant data integrity, auditing, and security access controls. We are a creative and disciplined software engineering team, using agile practices and established technology stacks to design and develop large-scale data analytics, visualization, and management software solutions for local and on-cloud hosted HPC datacenters, as well as to integrate 3rd party analytical platforms with internal data workflows to address pressing engineering and data science challenges of life-science. We are looking for Software Engineers (SE) who can break down and solve complex problems with a strong motivation to get things done with a boots-on-the-ground, pragmatic mindset! Our engineers own their products end to end and influence the way how our products and technology are deployed to facilitate most aspects of drug discovery impacting hundreds of thousands of patients around the world. We are looking for engineers who can creatively handle complex dependencies and ambiguous requirements, competing business priorities, while producing fit-for-purpose, optimal solutions. We are hoping that you are passionate about collaborating across the interface between hard-core software development and research and discovery data analysis. What will you do in this role Design and implement engineering tools, applications and solutions that facilitate research processes and scientific discovery in several areas of our drug discovery process. Help drive the design and architecture of adopted engineering solutions with a detail-oriented mindset Promote and help with the adoption of development, design, architecture, and DevOps best practices, with a particular focus on agile deliver mindset Lead and mentor smaller team of developers (squads) to ensure timely and quality delivery of multiple product iterations Drive product discovery and requirements clarification for ambiguous and/or undefined problems framed with uncertainty. Manage technical and business dependencies and bottlenecks; balance technical constraints with business requirements; and deliver maximum business impact with solid customer experience Help stakeholders with go/no-go decisions on software and infrastructure by assessing gaps in existing software solutions (internal/external), by vetting technologies/platforms and vendor products Strong collaboration, organization skills in cross-functional teams; ability to effectively communicate with technical and non-technical audiences; work closely with scientists, peers, and business leaders in different geographical locations to define and deliver complex engineering features. What should you have Education: BS or MS in Computer Science/Bioinformatics Basic Qualifications MUST (Proficient (2+ years hands-on experience) w/ at least one language: Java (preferred), Python or C# with building CI/CD workflows with Jenkins or equivalent with using IaC frameworks (CloudFormation, Ansible, Terraform) to build microservice-architecture solutions with a focus on scientific data analysis and management to integrate AWS services (EC2/RDS/S3/Batch/KMS/ECS etc..) into production workflows SHOULD-HAVE (proven hands-on experience, at least 3 years) with these scripting languages: Python, Bash to build production workflows using Java/Python/ with Linux OS command line to drive API (REST, GraphQL, etc.) driven, modular development of production workflows and integration with 3rd party vendor platforms relational data models, ETL processing pipelines using PostgreSQL (preferred), Oracle, SQL Server, MySQL Proficient with pipelines-workflow: building, execution, maintenance, debugging Airflow, Nextflow, aws batch SOFT-SKILS MUST Strong collaborator, communicator, Strong problem-solving skills Experienced with making technical partnerships with research and business teams NICE TO HAVE: Prior experience with with non-relational database vendors (Elastic Search, etc..) with building resource intensive HPC analysis modules and/or data processing tasks with developing and deploying containerized applications (i.e., Docker, Singularity) with containerization platform: Kubernetes/Helm with end-to-end testing framework: Robot/Selenium What we look for Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today. #HYDIT2025 Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Regular Relocation: VISA Sponsorship: Travel Requirements: Flexible Work Arrangements: Hybrid Shift: Valid Driving License: Hazardous Material(s): Required Skills: Availability Management, Capacity Management, Change Controls, Design Applications, High Performance Computing (HPC), Incident Management, Information Management, Information Technology (IT) Infrastructure, IT Service Management (ITSM), Release Management, Software Development, Software Development Life Cycle (SDLC), Solution Architecture, System Administration, System Designs Preferred Skills: Job Posting End Date: 08/15/2025 A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID: R353506

Key Responsibilities Annotate medical images with labels, segmentation masks, bounding boxes, or other metadata. Tag anatomical structures, abnormalities, and clinical findings. Evaluate and validate AI-generated predictions on medical data. Collaborate with healthcare professionals (radiologists, pathologists, clinicians) to ensure clinical accuracy. Follow strict annotation protocols and quality standards. Provide feedback to improve annotation tools and workflows. Maintain detailed documentation of annotation tasks and guidelines 3 2 4. Required Skills Medical Knowledge: Understanding of anatomy, pathology, and medical imaging modalities. Technical Proficiency: Experience with annotation tools and software Attention to Detail: High accuracy in labeling and categorization. Communication: Ability to collaborate with cross-functional teams and explain annotation decisions. Adaptability: Comfortable with repetitive tasks and able to meet deadlines consistently32. Preferred Qualifications Bachelor’s degree in Biology, Biomedical Engineering, Bioinformatics, Computer Science, or a related field. Familiarity with medical terminology and clinical workflows. Prior experience in medical imaging, healthcare Job Type: Full-time Pay: ₹10,000.00 - ₹15,000.00 per month Benefits: Paid time off Schedule: Day shift Work Location: In person

This position requires a sound knowledge of medical coding and the denial management process for multiple specialties. Applicants must be proficient in ICD-10 and CPT medical coding and have obtained a Certified Professional Coder (CPC) credential Required Candidate profile Should have strong knowledge In Medical Coding Anatomy Physiology and Medical Terminology Should have Good Communication Skills

Walk-In Interview for BDS/BHMS/BAMS/ BPT/ BSC/MSC( Nursing) Fresh Graduates For Medical Coding Non Certified Freshers Only Applicants should have good knowledge in Medical Coding Anatomy and Medical Terminology Required Candidate profile Candidates Should have good knowledge in Medical Coding ICD 10, Anatomy Medical terminology and CPT Exposure to CPT-4, ICD-9, ICD-10, and HCPCS coding

Reporting to: Coordinator, Biosciences Research Laboratory, School of Arts and Sciences Role Summary: Involved in conducting practicals of Integrated MS students About the School: The School of Arts and Sciences has five divisions: Humanities and Languages , Social Sciences , Mathematical and Physical Sciences , Biological and Life Sciences and Performing and Visual Arts . Biological and Life Sciences currently operates in the areas of nanotechnology, bioinformatics, cancer biology, ecology, microbiology, parasitology, plant biology, infectious disease and evolutionary biology. Responsibilities Assisting laboratory executive in the procurement of the laboratory supplies by contacting vendors, inventory maintenance, developing and improving laboratory protocols Conducting practical’s in various laboratories, assisting with experiments by logging details and setting up lab equipment for the students Recording and maintenance of students results and journal records Maintenance of laboratory equipment Perform regular lab disinfection and management of biohazard waste Any other laboratory task assigned by the Lab Coordinator/Lab Executive Key Skills Good knowledge of life science concentrated practicals Good and effective communication skills in English, Hindi and Gujarati Be able to conduct laboratory practicals independently Prior experience in teaching is desirable Qualification: MSc (any area of Biochemistry/Microbiology/Molecular biology/Biotechnology/Microbiology/Life Sciences/Plant Sciences) with minimum 55 per cent marks from a UGC recognised University. How to apply: The position is temporary and the appointment will be for one year only, extended based on performance. Shortlisted candidates will be informed through email. CV should include details of academic grades starting from 10th standard onwards with details of year of passing, university or college, etc and also work experience and nature of work if applicable. Incomplete applications will be rejected. Interested candidates can submit their application with their curriculum vitae to email info.artsandsciences@ahduni.edu.in with the following text in the subject of your email: Application for the position of Lab Associate by August 1, 2025. No TA/DA will be paid for attending the interview.

Should have knowledge in Clinical Data Management Should have good knowledge in edit checks crf design SAE Reconcilation crf annotation Good knowledge in Startup conduct phase and close out phase Required Candidate profile Strong understanding of clinical data management and E2b Guidelines Excellent clinical assessment and Communication Skills

What We Want You To Do Perform NGS sequencing library preparation (Twist, Illumina) , including DNA/RNA extraction. Operate and maintain NGS sequencing platforms (e.g., MiSeq, NextSeq, HiSeq, NovaSeq, MGI, Nanopore). Conduct quality control checks on DNA/RNA samples and sequencing libraries using techniques such as qPCR, Bioanalyzer, and Tapestation. Troubleshoot and optimize sequencing protocols to improve data quality and throughput. Collaborate with cross-functional teams to design and execute sequencing experiments. Keep detailed records of experiments, protocols, and results. Stay current with advancements in sequencing technologies and applications. What Are We Looking In You Phd or Masters degree in Molecular Biology, Genomics, Biotechnology, or a related field. Hands-on experience with NGS sequencing platforms and library preparation techniques (3-5 years). Proficiency in molecular biology techniques, including PCR, qPCR, and electrophoresis. Strong problem-solving skills and attention to detail. Excellent organizational and communication skills. Ability to work independently and as part of a team. Experience in infectious diseases. Ability to quickly prioritize and execute tasks Good oral and written communication skills. Strong analytical skills and attention to detail Strong documentation skills 6 days working Skills : collaboration,ngs sequencing platforms (miseq, nextseq, hiseq, novaseq, mgi, nanopore),molecular biology techniques (pcr, qpcr, electrophoresis),ngs,quality control checks (qpcr, bioanalyzer, tapestation),sequencing,logical analysis,dna/rna extraction,troubleshooting and optimizing sequencing protocols,documentation,ngs sequencing library preparation

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.

At QIAGEN, we are driven by a simple but powerful vision: making improvements in life possible. We are dedicated to revolutionizing science and healthcare for the better. With thousands of employees across six continents, collaboration is our greatest strength. If you thrive on new challenges, value diversity, and want to make a tangible difference in people's lives, then QIAGEN is the place for you. Every day at QIAGEN is an opportunity to make a real-life impact and shape the future of biological discovery. As an Inside Sales Representative at QIAGEN, you will play a crucial role in efficiently qualifying inbound leads, understanding customers" critical business issues, and proposing the most suitable value-added products and solutions. You will take full responsibility for assigned renewal opportunities, aggressively follow up with a sense of urgency, and close business agreements within given time frames. Developing and implementing new lead prospecting and sales strategies will be part of your responsibilities, along with generating proposals, negotiating, and closing business agreements independently or as a team. Your role will also involve channeling sales qualified opportunities to territory sales representatives for further development and closure based on territory requirements. You will aim to reach prospects and customers prominently via phone to achieve positive outcomes and maintain a year-on-year increase in lead and opportunity conversion within the given territory. Adhering to Standard Operating Procedures (SOP) while suggesting improvements for high efficiency and better outcomes will be essential. To qualify for this position, you should have a Masters/Bachelor's degree in life sciences or a related field. Proven experience in an Inside Sales role handling Academic/Biotech/Pharma customers is preferred, along with a track record of meeting/exceeding aggressive sales quotas. Excellent listening, communication, and presentation skills are necessary, along with good negotiation skills and strong knowledge of Biotechnology and Bioinformatics. You must be comfortable working in assigned North America (NA), EMEA, or APEC time shifts and willing to coordinate meetings and engage prospects and customers via phone in US, EMEA, or APEC shifts daily. Being an innovative thinker and expert at time management is crucial for this role. You should be able to interact effectively and harmoniously with other team members while sharing new knowledge for the betterment of the organization and team. In return, we offer bonus/commission, local benefits, a referral program, volunteer day, Internal Academy (QIALearn), Employee Assistance Program, and hybrid work (conditional to your role). Our collaborative, supportive environment encourages individual and team growth, accountability, and entrepreneurial thinking. At QIAGEN, your passion and drive will be the key to pushing boundaries, innovating, and making a meaningful impact in the world of science and healthcare.,

Position Overview We are seeking a passionate and highly skilled Computational Research Scientist specializing in deep learning to join our R&D team. This role will focus on developing and applying advanced AI and machine learning methods to solve biological problems, with an emphasis on enzyme optimization, metabolic engineering, and bio-process innovation. The successful candidate will collaborate closely with biologists, engineers, and data scientists to accelerate the design and production of sustainable bio-alternatives. Key Responsibilities Design, develop, and deploy deep learning models for predicting and optimizing enzymes, proteins, and metabolic pathways in microbial and cellular systems. Conduct computational modeling and simulations of metabolic networks to identify critical control points and engineering targets. Build robust data pipelines to integrate diverse biological datasets and enable scalable model training and evaluation. Present technical findings clearly to interdisciplinary teams through reports, presentations, and collaborative discussions. Stay current with advances in AI, synthetic biology, and computational methods to drive innovation at ThinkBio.Ai. Required Qualifications Ph.D. in Computer Science, Bioinformatics, Computational Biology, or a related field with a focus on deep learning applications. Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or similar. Proficiency in programming languages including Python (preferred), R, or MATLAB. Strong written and verbal communication skills. Proven ability to work independently and collaboratively in a dynamic research environment. Preferred Qualifications Knowledge of metabolic engineering, synthetic biology, or systems biology concepts. Familiarity with metabolic flux analysis and constraint-based modeling techniques (eg, Flux Balance Analysis, COBRA Toolbox). Experience with protein structure prediction and modeling. Background in industrial biotechnology or experience working in start-up environments. Desired Working Style Exceptionally organized with the ability to manage multiple projects and priorities simultaneously. Quick learner with a proactive, inquisitive mindset. Adaptable and comfortable with evolving roles and responsibilities typical in start-ups. Strong collaborator with excellent interpersonal and communication skills. Commitment to high standards of scientific integrity and professional ethics.