621 Bioinformatics Jobs - Page 3

Job Description Position: Medical Coder Ct: HR HR Shanmugapriya - 8072891550 Adhere to Utilization Review Accreditation Commission (URAC), jurisdictional, and/or established MediCall best practice UM time frames, as appropriate. Adhere to federal, state, URAC, client, and established MediCall best practice WCUM time frames, as appropriate. Develop a complete understanding of the Medical management Procedures. Perform medical review assessment (MRA) on utilization of health services (eg healthcare plans, workers compensation products etc) in an accurate, efficient and timely manner while ensuring compliance with utilization management regulations and adherence to state and federal mandates. Provide succinct negotiable points based on the submitted medical records that identify necessary medical treatment, casually related care, response or lack of response to treatment, etc. Identify missing records and information that are necessary in the completion of the medical review assessment. Adhere to Department of Labor, state and company timeframe requirements. Coordinates physician reviewer referral as needed and follows up timely to obtain and deliver those results. Track status of all utilization management reviews in progress and follow up on all pending cases. Work closely with management team in the ongoing development and implementation of utilization management programs. Respond to inbound telephone calls pertaining to medical reviews in a timely manner, following client a established protocols. Process customer calls consistent with program specified strategies and customer satisfaction measurements to include but not limited to proper answering procedure, eg opening and closing remarks. Learn new methods and services as the job requires. Ct: HR KAMATCHI 8925264660

What We Want You To Do Analyze and manage the NGS / Nanopore data using relevant pipelines. Develop customized pipelines and workflows and tweak current pipeline filters for NGS and Nanopor analysis Help in developing and executing various data management strategies Identify the databases, tools, catalogs, and their reliability in future and help the research team in data collection strategies. Interpret genetic sequence variations identified through the pipelines Check quality and accuracy of the data Work in conjunction with team members to ensure consistent result generation Work in conjunction with wet lab and tech teams to ensure smooth operations and development work Troubleshoot issues related to data analysis tools and software Review literature for new technologies in the field of Bioinformatics Write grants and papers in the company Creating documentation and maintaining it What Are We Looking In You PhD in Genetics/Genomics or related fields or 8+ years of experience in the field of human genomics/genetics Experience with building bioinformatics pipelines for various kinds of NGS data Assisting in drafting and completing manuscripts for publication Experience with handling various different databases and tools Perform statistical analysis on the datasets Comfortable working on Linux OS system Ability to read, interpret and curate scientific literature Excellent communication skills (oral and written) and attention to detail Ability to learn new techniques, perform multiple tasks simultaneously, keep accurate records, follow, instructions, complete deadlines, and comply with company policies Experience of 1-2yrs+ in Python & experience of 3-5 yrs in Bash scripting Experience with pipeline orchestration tools (Nextflow or Snakemake) will be a bonus

1.To perform cleaning of Visual inspection equipment in fill finish facility. 2.To Perform visual inspection of Vials, PFS and Cartridge along with documentation. 3.Making entries in log books, batch packing record and status labeling. Required Candidate profile 1. Looking for smart and dynamic pharma fresher candidate. 2. Candidate should be very good in to written and oral english communication 3. Candidate should be very dynamic.

What We Want You To Do Analyze and manage the NGS / Nanopore data using relevant pipelines. Develop customized pipelines and workflows and tweak current pipeline filters for NGS and Nanopor analysis Help in developing and executing various data management strategies Identify the databases, tools, catalogs, and their reliability in future and help the research team in data collection strategies. Interpret genetic sequence variations identified through the pipelines Check quality and accuracy of the data Work in conjunction with team members to ensure consistent result generation Work in conjunction with wet lab and tech teams to ensure smooth operations and development work Troubleshoot issues related to data analysis tools and software Review literature for new technologies in the field of Bioinformatics Write grants and papers in the company Creating documentation and maintaining it What Are We Looking In You PhD in Genetics/Genomics or related fields or 8+ years of experience in the field of human genomics/genetics Experience with building bioinformatics pipelines for various kinds of NGS data Assisting in drafting and completing manuscripts for publication Experience with handling various different databases and tools Perform statistical analysis on the datasets Comfortable working on Linux OS system Ability to read, interpret and curate scientific literature Excellent communication skills (oral and written) and attention to detail Ability to learn new techniques, perform multiple tasks simultaneously, keep accurate records, follow, instructions, complete deadlines, and comply with company policies Experience of 1-2yrs+ in Python & experience of 3-5 yrs in Bash scripting Experience with pipeline orchestration tools (Nextflow or Snakemake) will be a bonus Skills: pipelines,pipeline orchestration tools (nextflow, snakemake),python,genomics,communication skills,bash scripting,ngs data analysis,linux,quality control,bioinformatics pipeline development,ngs,nanopore data analysis,genetics,literature review,bioinformatics pipelines,linux os,pipeline orchestration tools (nextflow or snakemake),grant writing,statistical analysis,genetic sequence interpretation,scientific literature interpretation,human genetics,bioinformatics,data management strategies,pipeline

What We Want You To Do Analyze and manage the NGS / Nanopore data using relevant pipelines. Develop customized pipelines and workflows and tweak current pipeline filters for NGS and Nanopor analysis Help in developing and executing various data management strategies Identify the databases, tools, catalogs, and their reliability in future and help the research team in data collection strategies. Interpret genetic sequence variations identified through the pipelines Check quality and accuracy of the data Work in conjunction with team members to ensure consistent result generation Work in conjunction with wet lab and tech teams to ensure smooth operations and development work Troubleshoot issues related to data analysis tools and software Review literature for new technologies in the field of Bioinformatics Write grants and papers in the company Creating documentation and maintaining it What Are We Looking In You PhD in Genetics/Genomics or related fields or 8+ years of experience in the field of human genomics/genetics Experience with building bioinformatics pipelines for various kinds of NGS data Assisting in drafting and completing manuscripts for publication Experience with handling various different databases and tools Perform statistical analysis on the datasets Comfortable working on Linux OS system Ability to read, interpret and curate scientific literature Excellent communication skills (oral and written) and attention to detail Ability to learn new techniques, perform multiple tasks simultaneously, keep accurate records, follow, instructions, complete deadlines, and comply with company policies Experience of 1-2yrs+ in Python & experience of 3-5 yrs in Bash scripting Experience with pipeline orchestration tools (Nextflow or Snakemake) will be a bonus

Role Overview We are looking for a Scientific Content Writing Intern who can help translate complex scientific data into clear, accurate, and engaging content. This role is ideal for students or early-career professionals passionate about science communication, public health, and genomics. Key Responsibilities Assist in writing, editing, and proofreading scientific documents including: Scientific content for blog posts, case studies, product brochures, and posters Whitepapers and abstracts for scientific conferences Website and social media content related to genomics and diagnostics Conduct literature reviews and ensure content accuracy and alignment with current scientific understanding Collaborate with R&D, and clinical teams to gather data and insights Maintain referencing and citations in appropriate formats (e.g., AMA, Vancouver) Support development of visual science communication tools like infographics Requirements Masters or final year Bachelor's student in life sciences, biotechnology, microbiology, genetics, pharmacology, or a related field Excellent written and verbal communication skills Strong understanding of biology/genomics and interest in diagnostics or healthcare innovation Ability to interpret and simplify research findings for broader audiences Familiarity with literature databases (e.g., PubMed) and reference managers (e.g., Mendeley/Zotero)

Role Overview Were looking for a proactive and organized Marketing Intern to support project coordination and research activities for our identifi product line. This role is ideal for someone who is detail-oriented, curious, and passionate about applying marketing skills in a high-impact, science-driven environment. Key Responsibilities Project Coordination Assist in tracking and coordinating ongoing marketing projects for identifi products Liaise with internal teams (sales, clinical, design, operations) to ensure timely execution Maintain project trackers, timelines, and weekly status reports Follow up with vendors and creative teams for deliverables and approvals Market Research Conduct research on infectious disease diagnostics market, competitors, and new trends Analyze and summarize data on customer needs, testing protocols, and regional trends Benchmark product messaging, pricing, and campaigns across diagnostic brands Assist in creating presentations, research summaries, and product decks Requirements Pursuing or recently completed a degree in Marketing, Healthcare Management, Life Sciences, or Business Strong organizational and communication skills Proficiency in MS Excel, PowerPoint, and Google Workspace Comfortable working in a fast-paced, cross-functional setup Interest in healthcare, diagnostics, or genomics is a strong plus

At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly! Bring passion and dedication to your job and theres no telling what you could accomplish! The AppleCare Digital team is looking for a Design and Experimentation Analyst to drive data-informed decision-making as we evolve our digital support products portfolio. This role will play a key part in enhancing customer journeys, boosting engagement, and delivering smooth digital support experiences. We are seeking an analytical thinker with superb communication skills, strong business intuition, and passion for translating complex data into actionable insights. We seek a self-starter, who is willing to adapt well to changing requirements and work with multi-functional teams. Description - Shape product features and roadmap: Collaborate closely with designers and product owners to translate data insights into actionable recommendations that shape product features and influence the product roadmap - Drive data-informed design decisions: Analyze user behavior data and conduct A/B tests to find opportunities for improving product and website user experience across platforms - Uncover deep user insights: Perform detailed analysis on user interactions, engagement, and usability for digital experiences, building behavioral insights to anticipate user needs and curate frictionless customer experiences - Curate and conduct rigorous A/B testing: Design and implement A/B tests to experiment with design variations, objectively grounding decisions in real user behavior and analytics - Analyze and interpret results: Extract actionable insights from experiment data, presenting findings and recommendations to multi-functional teams in a clear and compelling manner - Champion a culture of experimentation: Promote data-driven decision-making and continuous optimization throughout the organization - Stay ahead of the curve: Stay up-to-date with industry trends, emerging technologies, and best practices in digital analytics, proactively finding opportunities for innovation and improvement. Minimum Qualifications 6+ years of industry experience in Data Analytics or similar role Experience in converting ambiguous user behavior or business questions into data-driven hypotheses and measurable outcomes Experience with using SQL to mine and analyze data Expertise in experimentation methods (eg. A/B testing, multivariate testing) and statistical analysis Familiarity with UX metrics and behavioral analysis to support design decision-making Experience in navigating through complex organizational structures and influencing business partners and stakeholders in decision making Preferred Qualifications Advanced degree (MS or MBA preferred) in a quantitative field such as Statistics, Design, Data Science, Machine Learning, Operations Research, Engineering, Computer Science, Mathematics, Physics, Bioinformatics, Economics, Psychology, or a similar quantitative field.

Work Schedule Standard (Mon-Fri) Environmental Conditions Cleanroom: no hair products, jewelry, makeup, nail polish, perfume, exposed piercings, facial hair etc... allowed Job Title: Scientist III, Cell Biology Location: Bangalore Division: BID When you are part of the team at Thermo Fisher Scientific, you’ll do important work. Surrounded by collaborative colleagues, you’ll have the support and opportunities that only a global leader can give you. Our respected, growing organization has an exceptional strategy for the near term and beyond. Take your place on our strong team and help us make significant contributions to the world. Introduction to the Division /Function BioSciences Division is part of Life Science Solutions Group in Thermo Fisher Scientific and R&D group in Bangalore is involved in antibodies and immunoassay development using recombinant DNA technology. Role Description (Purpose Of The Role) Scientist III will be working on ongoing R & D projects related to recombinant antibody development and validation. Individual will be responsible to take care of Core Cell culture Facility which supports all the programs with biological samples. Also should be able to efficiently manage 5 to 7 people and their career and growth path. Responsibilities Should be able to design, initiate, plan, execute and oversee experiments related to cell biology Should be good in scientific writing in different formats according to the project requirement. Good understanding about mammalian cell culture and maintaining cell culture lab with correct specifications. Having experience in specific differentiations, cell based models for studying proteins Expertise in analytical/ biochemical techniques like western blotting testing, immunofluorescence testing, Flow cytometry, ELISA Keeping thorough record of results into data sheets and/or electronic databases and notebooks. Maintain and upgrade available databases as well. Responsible for data integrity and accuracy. Other functions such as writing technical protocols, maintaining SOPs and taking care of required ordering. Deliver high quality results according to project schedule in support of product commercialization during early feasibility, development and validation phases. Qualification Must have Ph.D in Biotechnology/Life Sciences or related discipline or Masters in cell biology/biotechnology, genetics or related fields with more than 7 years of experience in cell biology work flow or relevant industry. Skills And Experience Should have a clear understanding of mammalian cells and their culturing techniques. Strong understanding and hands-on experience of handling, designing cell biology and protein workflow experiments and model development Should have a clear understanding and laboratory skills in the area of cell biology, immunoassays like western blot, immunofluorescence, Flow and ELISA Should have good scientific writing skills Publications in peer-reviewed journals would be a bonus. Good understanding of research projects using standard techniques and protocols. Should be a good team player, ready to learn new techniques and innovative thinker. Industry experience, bioinformatics and grant writing skills will be considered as a bonus. Excellent organizational skills with attention to detail. Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.

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 (e.g., 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.

Position Title: Product Owner – Research and Transversal AI,ML Workflows About The Job Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives. At Sanofi, we’re committed to providing the next-gen healthcare that patients and customers need. It’s about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before. Join our R&D Data & AI Products and Platforms Team as a Data Product Owner and you can help make it happen. What You Will Be Doing Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives. The R&D Data & AI Products and Platforms Team is a key team within R&D Digital, focused on developing and delivering Data and AI products for R&D use cases. This team plays a critical role in pursuing broader democratization of data across R&D and providing the foundation to scale AI/ML, advanced analytics, and operational analytics capabilities. We are looking for a Product Owner to lead the development of innovative software products supporting Scientific Workflow Engineering in AI/ML. This includes advanced machine learning-based (ML Ops) workflows, including generative AI for protein design, protein folding, and structural chemistry. As the Product Owner , you will be responsible for collaborating with scientists and technical stakeholders, managing the full product lifecycle from gathering requirements to product delivery and continuous improvement. You will work closely with a dedicated scrum team composed of data engineers and full-stack platform engineers to deliver high-impact digital products that empower cutting-edge scientific research and innovation. Our vision for digital, data analytics and AI Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means: AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment. Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack. World Class Mentorship and Training: Working with renown leaders and academics in machine learning to further develop your skillsets. We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started? Main Responsibilities Product Ownership: Lead the development and evolution of digital products that support bioinformatics workflows and ML operations, ensuring they meet scientific, research, and business objectives. Own the product roadmap, defining clear and actionable goals that align with the strategic direction of the company and the needs of the scientific teams. Bridge the gap between scientists and product teams to ensure that outcomes are aligned to business needs and value. The product owner will be a master coordinator, driver, and translator. 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. Adept at mitigating risks and issues as they arise over the course of product delivery, along with reporting and providing regular product updates to broad forums. 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 Bring a deep understanding of scientific workflows in bioinformatics and ML operations, particularly in areas like protein design, folding, and structural chemistry. Stay up to date with industry trends, emerging technologies, and bring ideas and solutions to the business to address needs and drive maturity. Inspire and lead a team of engineers by articulating a clear vision for the product and demonstrating the potential for innovative solutions. About You Key Functional Requirements & Qualifications: Master’s degree in computer science, bioinformatics, data science, or a related scientific field. Ph.D. or equivalent experience in relevant scientific domains is a plus. 5+ years in product management, preferably with experience in bioinformatics, life sciences, or AI/ML platforms. Experience leading product development in scientific environments, particularly in areas like small molecule and large molecule research. Familiarity with cloud environments such as AWS to build and deploy scientific and AI/ML workflows. Strong understanding of machine learning operations (ML Ops), particularly in generative AI, protein design, protein folding, and structural chemistry. Key Technical Requirements & Qualifications Comprehensive knowledge of Agile methodologies, including experience working in Scrum teams. Familiarity with product management tools and frameworks, such as Jira, Confluence, Miro, and related. Familiarity with bioinformatics tools and ML frameworks for scientific applications. Strong understanding of UX/UI, application design, and data engineering principles. Experience with cloud platforms, AI platforms, and data pipelines is a plus. 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 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.

Looking for a Junior Research Fellow (JRF) to work in the ANRF-funded extramural project to understand the role of new erythroid regulators (ERFE, FGL1) in children with thalassemia for a duration of 3 years. The recruitment will be for the first year and is extendible depending on satisfactory annual assessment of performance and work progress. Responsibilities Working experience in Molecular techniques (such as ELISA, RT-PCR, Western blotting, Flow cytometry), including the patient’s blood sample handling/collection. Qualifications MSc degree (Biochemistry, Life Sciences, Immunology, Biotechnology, Molecular Genomics, Bioinformatics etc.) Additional qualifications/merits like ICMR-JRF, DST- Inspire, CSIR-UGC NET, DBT-BET, or equivalent national-level eligibility test will be appreciated. For Application process/details : check on https://aiimskalyani.edu.in

This role involves working closely with Amgen Research partners and Technology peers to ensure that the technology/ data needs for drug discovery research are translated into technical requirements for solution implementation. The role leverages scientific domain and business process expertise to detail product requirements as epics and user stories, along with supporting artifacts like business process maps , use cases , and test plans for the software development teams. This enabl es the delivery team to estimate, plan, and commit to delivery with high confidence and identify test cases and scenarios to ensure the quality and performance of IT Systems. Y ou will join a multi-functional team of scientists and software professionals that enables technology and data capabilities to evaluate drug candidates and assess their abilities to affect the biology of drug targets. This team implements LIMS platforms that enable the capture, analysis, storage, and report of pre- clinical and clinical studies as well as those that manage biological sample banks. You will collaborate with Product Owners and developers to maintain an efficient and consistent process, ensuring quality deliverables from the team. You will implement and manage scientific software platforms across the research informatics ecosystem , and provide technical support, training, and infrastructure management , and ensure it meets the needs of our Amgen R esearch community. Roles & Responsibilities: Function as a Scientific Business Systems Analyst within a Scaled Agile Framework ( SAFe ) product team Serve as a liaison between global Research Informatics functional areas and global research scientists, prioritizing their needs and expectations Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Lead the technology ecosystem for in vivo study data management and ensure that the platform meets their requirements for data analysis and data integrity Translate complex scientific and technological needs into clear, actionable requirements for development teams Develop and maintain a product roadmap that clearly outlines the planned features and enhancements, timelines, and milestones Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance Develop documentations, communication plans and training plans for end users Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities Ensure operational excellence, cybersecurity and compliance. Collaborate with geographically dispersed teams, including those in the US and other international locations. Foster a culture of collaboration, innovation, and continuous improvement. Basic Qualifications and Experience: Master s degree with 1 - 3 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry /Cheminformatics , Computational Biology/Bioinformatics or related field , OR Bachelor s degree with 3 - 5 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry /Cheminformatics , Computational Biology/Bioinformatics or related field , OR Diploma with 7 - 9 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry /Cheminformatics , Computational Biology/ Bioinformatics or related field , OR Preferred Qualifications: 3 + years of experience in implementing and supporting LIMS platforms . Functional Skills: Must-Have Skills : Demonstrated expertise in a scientific domain area and related technology needs Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with technology and data E xperience with writing user requirements and acceptance criteria in agile project management systems such as JIRA Experience in configuration and administration of LIMS platforms such as STARLIMS, Watson LIMS , LabVantage, etc. Good-to-Have Skills: Experience in the implementation of scientific software platforms, Electronic Lab Notebook (ELN), or Laboratory Information Management Systems (LIMS) Experience handling GxP data and system validation , and k nowledge of regulatory requirements affecting laboratory data (e.g., FDA 21 CFR Part 11, GLP, GCP) Knowledge of bioanalytical workflows and/or biospecimen management Experience in AI and machine learning for drug discovery research and preclinical development Experience with cloud ( e.g. AWS) and on-premise infrastructure In-depth knowledge of Agile process es and principles for coordinated solutions and teams via SAFe Knowledge of business analysis best practices, DevOps, Continuous Integration, and Continuous Delivery methodology Professional Certification s: SAFe for Teams certification (preferred) Soft Skills: Able to work under minimal supervision Excellent analytical and gap/fit assessment skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills EQUAL OPPORTUNITY STATEMENT We will ensure that individuals with disabilities are provided with 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 an accommodation . .

Let s do this. Let s change the world. In this vital role you will be responsible for defining the architecture vision, creating roadmaps, and ensuring that IT strategies align with business goals. You will join a multi-functional team of scientists and software professionals that enables technology and data capabilities to evaluate drug candidates and assess their abilities to affect the biology of drug targets. This team implements scientific software platforms that manage compound inventories / biological sample banks, as well as those that enable the capture, analysis, storage, and report of in vitro assays and in vivo / pre-clinical studies. You will play a pivotal role in shaping the software ecosystem in this area, ensuring that it meets both current and future business needs while providing technical leadership to junior team members. Create and maintain architectural roadmaps that guide the evolution of IT systems and capabilities Maintain documentation of the architecture, including principles, standards, and models Drive continuous improvement in the architecture by identifying opportunities for innovation and efficiency Work with stakeholders to gather and analyze requirements, ensuring that solutions meet both business and technical needs Evaluate and recommend technologies and tools that best fit the solution requirements Ensure seamless integration between systems and platforms, both within the organization and with external partners Design systems that can scale to meet growing business needs and performance demands What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master s degree and 4 to 6 years of Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Bachelor s degree and 6 to 8 years of Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Diploma and 10 to 12 years of Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field. Preferred Qualifications and Experience: 3+ years of experience in implementing and supporting biopharma scientific research software platforms Must-Have Skills: Strong architectural design and modeling skills Experience with system integration, IT infrastructure Experience directing solution design, business processes redesign and aligning business requirements to technical solutions in a regulated environment Experience working in agile methodology, including Product Teams and Product Development models Good-to-Have Skills: Problem-Solving: Ability to identify and solve complex technical challenges. Solution Design: Proficiency in designing scalable, secure, and cost-effective solutions. Vendor Management: Experience in evaluating and selecting technology vendors. Proof of Concept: Ability to create and demonstrate proof of concept solutions to validate technical feasibility. Systems Analysis: Ability to decompose complex systems into smaller, manageable components. Design Patterns: Knowledge of common design patterns and their application in software development. Non-Functional Requirements: Consideration of factors like performance, scalability, security, and reliability in system design. Integration: Understanding of system integration principles and technologies (e.g. Mulesoft, AWS Kafka) Technology Stack: Familiarity with a variety of programming languages (e.g. Python, Java), frameworks, databases (e.g. Oracle, MySQL) and Salesforce Experience with cloud computing platforms (AWS) Strong solution design and problem-solving skills Strong understanding of technology, function, or platform Experience in developing differentiated and deliverable solutions Ability to analyze client requirements and translate them into solutions 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 awareness of presentation skills 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. .

Let s do this. Let s change the world. In this vital role you will require expertise in biopharma scientific domains as well as compute systems solution delivery. Collaborate with geographically dispersed teams, including those in the US, EU and other international locations. Partner and ensure alignment of the Amgen India DTI site leadership and follow global standards and practices. Provide domain expertise for Research Advanced Scientific Computing within a Scaled Agile Framework (SAFe) product team Serve as Agile team scrum master or project manager as needed Serve as a liaison between Global Technology functional areas and Global Research scientists, prioritizing their needs and expectations Create functional analytics dashboards and fit-for-purposes applications for progress tracking and performance measurements (e.g. PowerBI, Tableau, Spotfire) Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Translate complex scientific and technological needs into clear, actionable requirements for development teams Develop and maintain release deliverables that clearly outlines the planned features and enhancements, timelines, and milestones Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance Develop documentations, communication plans and training plans for end users Ensure scientific compute systems operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities Ensure operational excellence, cybersecurity and compliance. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The ideal candidate will have a strong background in the end-to-end infrastructure DevOps lifecycle and be a Scaled Agile practitioner, coupled with change management and transformation experience. This role demands the ability to deliver against key organizational strategic initiatives, foster a collaborative environment, and deliver high-quality results in a matrixed organizational structure. Basic Qualifications: Doctorate degree / Masters degree / Bachelors degree with 8 to 13 years of experience in Information Systems Preferred Qualifications: BS, MS or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Life Sciences, Computer Science or Engineering 3+ years of experience in implementing and supporting biopharma scientific computing environments or systems Functional Skills: Must-Have Skills: Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with technology and data Excellent communication skills and experience creating impactful slide decks with data Collaborative spirit and effective communication skills to work seamlessly in a cross-functional team Familiarity with scientific compute applications like cheminformatics, bioinformatics, structural biology and molecular modelling tools including Schrodinger, Cryosparc, GROMACS Good-to-Have Skills: Demonstrated expertise in a scientific domain area and related technology needs Familiarity with documentations, specifications, pricing estimates for cloud (e.g. AWS) and on-premise compute infrastructure including compute (e.g. EC2) and storage (e.g. S3) components Familiarity with advanced analytics, AI/ML and scientific computing infrastructure, such as High Performance Compute (HPC) environments and clusters (e.g SLURM, Kubernetes) Experience with scientific and technical team collaborations, ensuring seamless coordination across teams and driving the successful delivery of technical projects Ability to deliver features meeting research user demands using Agile methodology An ongoing commitment to learning and staying at the forefront of AI/ML advancements. We understand that to successfully sustain and grow as a global enterprise and deliver for patients we must ensure a diverse and inclusive work environment. Professional Certifications (please mention if the certification is preferred or mandatory for the role): SAFe for Teams certification (preferred) SAFe Scrum Master or similar (preferred) Soft Skills: Strong transformation and change management experience. Exceptional collaboration and communication skills. High degree of initiative, self-motivation and learning agility Strong presentation and public speaking 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.

Let s do this. Let s change the world. In this vital role you will work closely with Amgen Research partners and Technology peers to ensure that they technology/ data needs for drug discovery research are translated into technical requirements for solution implementation. The role demonstrates scientific domain and business process expertise to detail product requirements as epics and user stories, along with supporting artifacts like business process maps, use cases, and test plans for the software development teams. Function as a Scientific Business Systems Analyst within a Scaled Agile Framework (SAFe) product team Serve as a liaison between global Research Informatics functional areas and global research scientists, prioritizing their needs and expectations Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Lead the Large Molecule Discovery technology ecosystem and ensure that the platform meets the requirements for data analysis and data integrity Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities Ensure operational excellence, cybersecurity and compliance. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The delivery team to estimate, plan, and commit to delivery with high confidence and identify test cases and scenarios to ensure the quality and performance of IT Systems. 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- 8years 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 Preferred Qualifications: 5+ years of experience in implementing and supporting biopharma scientific software platforms. Functional Skills: Must-Have Skills: Proven expertise in a scientific domain area and related technology needs Experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA Experience in configuration and administration of LIMS/ELN platforms (e.g. Benchling), Discovery software tools (e.g. Geneious, Genedata Screener) and Instrument Automation and Analysis platforms Experience using platforms such as Spotfire, Tableau, Power BI, etc., to build dashboards and reports and understanding of basic data querying using SQL, Databricks, etc. Good-to-Have Skills: Experience leading the implementation of scientific software platforms, Electronic Lab Notebook (ELN), or Laboratory Information Management Systems (LIMS) Knowledge of the antibody discovery design, make, test, and analyze cycle. Experience in AI and machine learning for drug discovery research and preclinical development Experience with leveraging LLM tools to accelerate software development processes. Experience with cloud (e.g. AWS) and on-premise infrastructure 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.

Let s do this. Let s change the world. This role involves working closely with Amgen Research partners and Technology peers to ensure that the technology/ data needs for drug discovery research are translated into technical requirements for solution implementation. The role leverages scientific domain and business process expertise to detail product requirements as epics and user stories, along with supporting artifacts like business process maps, use cases, and test plans for the software development teams. This enables the delivery team to estimate, plan, and commit to delivery with high confidence and identify test cases and scenarios to ensure the quality and performance of IT Systems. You will join a multi-functional team of scientists and software professionals that enables technology and data capabilities to evaluate drug candidates and assess their abilities to affect the biology of drug targets. This team implements software and infrastructure that enables the capture, analysis, storage, and report of pre-clinical and clinical omics (genomics, proteomics, transcriptomics etc.) data. You will collaborate with Product Owners and developers to maintain an efficient and consistent process, ensuring quality deliverables from the team. You will implement and manage scientific software platforms across the research informatics ecosystem, and provide technical support, training, and infrastructure management, and ensure it meets the needs of our Amgen Research community. Roles & Responsibilities: Function as a Scientific Business Systems Analyst within a Scaled Agile Framework (SAFe) product team Serve as a liaison between global Research Informatics functional areas and global research scientists, prioritizing their needs and expectations Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Translate complex scientific and technological needs into clear, actionable requirements for development teams Stay updated with industry trends, technological advancements, and scientific progress in Omics techniques, including data generation, processing, and analysis Develop and maintain a product roadmap that clearly outlines the planned features and enhancements, timelines, and milestones Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance Develop documentation, communication plans and training plans for end users Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities Ensure operational excellence, cybersecurity and compliance. Collaborate with geographically dispersed teams, including those in the US and other international locations. Foster a culture of collaboration, innovation, and continuous improvement. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications and Experience: PhD with 1 - 3 years of experience in Life Sciences, Computer Science, IT, Computational Biology/Bioinformatics or related field, OR Master s degree with 4 - 6 years of experience in Life Sciences, Computer Science, IT, Computational Biology/Bioinformatics or related field, OR Bachelor s degree with 6 - 8 years of experience in Life Sciences, Computer Science, IT, Computational Biology/Bioinformatics or related field, OR Diploma with 9+ years of experience in Life Sciences, Computer Science, IT, Computational Biology/Bioinformatics or related field Preferred Qualifications: 4+ years of experience in implementing and supporting biopharma scientific software platforms. Functional Skills: Must-Have Skills: Expertise in Omics data (Genomics, Proteomics, Transcriptomics etc.), oncology data Experience with bioinformatics tools and research workflows used to manage omics data Good understanding of database technology (e.g. RDBMS, Databricks) Experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA Experience with cloud (e.g. AWS) and on-premise infrastructure Good-to-Have Skills: Experience using platforms such as Spotfire, Tableau, Power BI, etc., to build dashboards and reports Knowledge of handling GxP data and system validation (i.e. GCP) Understanding of AI and machine learning for drug discovery research and preclinical development In-depth knowledge of Agile processes and principles for coordinated solutions and teams via SAFe Experience managing vendors, licenses in support of a Product team Knowledge of business analysis best practices, DevOps, Continuous Integration, and Continuous Delivery methodology Experience with platforms such as Benchling, or other LIMS Professional Certifications: SAFe for Teams certification (preferred) Soft Skills: Able to work under minimal supervision Excellent analytical and gap/fit assessment skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking 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.

Let s do this. Let s change the world. In this vital role requires expertise in biopharma scientific domains as well as informatics solution delivery. Additionally, extensive collaboration with global teams is required to ensure seamless integration and operational excellence. The ideal candidate will have a solid background in the end-to-end software development lifecycle and be a Scaled Agile practitioner, coupled with change management and transformation experience. This role demands the ability to deliver against key organizational pivotal initiatives, foster a collaborative environment, and deliver high-quality results in a matrixed organizational structure. Roles & Responsibilities: Collaborate with geographically dispersed teams, including those in the US, EU and other international locations. Partner and ensure alignment of the Amgen India DTI site leadership and follow global standards and practices. Foster a culture of collaboration, innovation, and continuous improvement. Function as a Scientific Business Analyst, providing domain expertise for Research Data and Analytics within a Scaled Agile Framework (SAFe) product team Serve as Agile team scrum master or project manager as needed Serve as a liaison between global DTI functional areas and global research scientists, prioritizing their needs and expectations Conduct market research, new platform and technology evaluations Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Translate complex scientific and technological needs into clear, actionable requirements for development teams Develop and maintain release deliverables that clearly outlines the planned features and enhancements, timelines, and milestones Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance Develop documentations, communication plans and training plans for end users Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities Ensure operational excellence, cybersecurity and compliance. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications Doctorate degree OR Master s degree and 4 to 6 years of Life Science / Biotechnology / Pharmacology / Information Systems experience OR Bachelor s degree and 6 to 8 years of Life Science / Biotechnology / Pharmacology / Information Systems experience OR Diploma and 10 to 12 years of Life Science / Biotechnology / Pharmacology / Information Systems experience Preferred Qualifications: MS or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Life Sciences, Computer Science or Engineering 5+ years of experience in designing and supporting biopharma scientific research data analytics Functional Skills: Must-Have Skills (Not more than 3 to 4): Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with data Understanding of semantics and FAIR (Findability, Accessibility Interoperability and Reuse) data concepts Understanding of knowledge graphs, taxonomy and ontology concepts in life sciences and chemistry domains Collaborative spirit and effective communication skills to work seamlessly in a multi-functional team An ongoing commitment to learning and staying at the forefront of AI/ML advancements. Good-to-Have Skills: Demonstrated expertise in a scientific domain area and related technology needs Understanding of scientific data strategy, data governance, data infrastructure Experience with cloud (e.g. AWS) and on-premise compute infrastructure Experience with scientific and technical team collaborations, ensuring seamless coordination across teams and driving the successful delivery of technical projects Familiarity with data analytics and scientific computing platforms such as Databricks, Dash, Plotly, Spotfire and related programming languages like SQL, python Experience creating impactful slide decks and communicating data Ability to deliver features meeting research user demands using Agile methodology We understand that to successfully sustain and grow as a global enterprise and deliver for patients we must ensure a diverse and inclusive work environment. Professional Certifications (please mention if the certification is preferred or mandatory for the role): SAFe for Teams certification (preferred) Certified SAFe Scrum Master or similar (preferred) Soft Skills: Strong transformation and change management experience. Exceptional collaboration and communication skills. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented with a focus on achieving team goals. Strong presentation and public speaking 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.

Should have knowledge in Clinical Data Management Should have good knowledge in edit checks crf design SAE Reconcilation crf annotation Clinical Data Management Trained Candidates Only Eligible Required Candidate profile Strong understanding of clinical data management and E2b Guidelines Excellent clinical assessment and Communication Skills

- Experience in computational biology and bioinformatics related areas is a must. - MS/PhD in Bioinformatics, Biostatistics, Mathematics, Computer Science, Computational biology or similar, with a strong publication record. - A strong understanding of statistical principles behind the current best practices in computational biology - Experience in computational biology and bioinformatics related areas is a must. - A strong understanding of statistical principles behind the current best practices in computational biology - Proven experience in drug discovery and development is essential preferably in industrial setting - Expertise in the use of a high-level programming language such as R, Python or Perl for complex data analysis. - Programming, web application programming, or relational database experience are pluses. - Proven expertise in defining and validating computational approaches to generate hypotheses using multivariate, Bayesian and machine learning approaches - Ability to generate in-silico experimental workflows and in-depth knowledge in proprietary and public biological databases, methods and tools.

About Improzo At Improzo ( Improve + Zoe; meaning Life in Greek ), we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused on delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders and carefully chosen peers like you! People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE! Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action. Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities. Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility. Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences. About The Role We are looking for a seasoned Deputy Manager/Group Manager in Advanced Analytics for the Lifesciences/Pharma domain. The person will lead a dynamic team focused on assisting clients in Marketing, Sales, and Operations through advanced data analytics. Proficiency in ML & DL Algorithms, NLP, Generative AI, Omni Channel Analytics and Python/R/SAS is essential. Key Responsibilities Partner with the Clients’ Advanced Analytics team to identify, scope, and execute advanced analytics efforts that answer business questions, solve business needs, and add business value. Examples include estimating marketing channel effectiveness or estimating sales force sizing. Maintain a broad understanding of pharmaceutical sales, marketing and operations and develop analytical solutions in these areas. Stay current with respect to statistical/mathematical/informatics modeling methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected. POC development or R package development for building internal capabilities and standardization of common modeling processes Lead & guide the team independently or with little support to implement & deliver complex project assignments. Provide strategic leadership to the team by building new capabilities within the group and identifying business opportunities. Provide thought leadership by contributing to whitepapers and articles at the BU and organization level Developing and delivering formal presentations to senior clients in both delivery and sales situations. Additional Information Interpersonal communication skills for effective customer consultation. Teamwork and leadership skills. Self-management skills with a focus on results for timely and accurate completion of competing deliverables. Make the impossible possible in quest to make life better. Bring Analytics to life by giving it zeal and making it applicable to business. Know, learn, and keep up-to-date on the statistical and scientific advances to maximize your impact. Bring an insatiable desire to learn, to innovate, and to challenge yourself for the benefit of patients. Eligibility Criteria Required Experience ✓ Minimum of 4-7 years of experience in data analytics ✓ Desired 2-4 years of relevant experience in Healthcare/ Lifesciences/ Pharmaceutical domain. Technical Skills Proficient in Python or R for statistical and machine learning applications. Expertise in a wide range of techniques, including Regression, Classification Decision Trees, Text Mining, Natural Language Processing, Bayesian Models, and more. Build & train neural network architectures such as CNN, RNN, LSTMs and Transformers. Experience in Omni Channel Analytics for predicting the Nest Best Action using the Advanced ML/DL/RL algorithms and Pharma CRM data Hands-on experience in NLP & NLG, covering topic modeling, Q&A, chatbots, and document summarization. Proficient in LLMs (e.g., GPT, Lang chain, llama index) and open-source LLMs Cloud Platforms: Hands-on experience in Azure, AWS, GCP, with application development skills in Python, Docker, and Git. Good To Have Skills Exposure to big data technologies such as Hadoop, Hive MapReduce etc. Qualifications B.Tech / Masters in a quantitative discipline (e.g. Applied Mathematics, Computer Science, Bioinformatics, Statistics; Ops Research, Econometrics) Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge tech projects, transforming the life sciences industry Collaborative and supportive work environment. Opportunities for professional development and growth. Skills: r,machine learning,omni channel analytics,nlg,nlp,gcp,sas,azure,hive mapreduce,aws,git,natural language processing,docker,llm,data analytics,deep learning,python,big data technologies,statistical modeling,generative ai,cloud platforms (azure, aws, gcp)

About Improzo At Improzo ( Improve + Zoe; meaning Life in Greek ), we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused on delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders and carefully chosen peers like you! People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE! Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action. Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities. Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility. Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences. About The Role The Consultant - Forecasting is responsible for developing, delivering, and maintaining forecasts (patient-based, TRx-based, etc.) and business insights for Improzo’s clients. The Consultant will work with clients in forecasting, market research, market access and other cross-functional teams. The position involves managing client relationships and directly interacting with and presenting to client stakeholders. You will need to leverage your quantitative and qualitative skills to not only create and analyze number-driven models, but creatively develop methods/approaches and deliver the story as well – this needs to be accomplished through a combination of analyzing client-provided data and secondary desk research. Experience with IQVIA or Symphony data (e.g., Xponent, DDD) is required. Working knowledge of patient-level data is a plus. Key Responsibilities Project Management: Play an integral role in executing analytics/consulting engagements through effective and efficient project management. Generate forecasts, analysis and actionable insights that lead to the achievement of strategic and financial goals for our clients. Manage and coordinate complex consulting engagements through strong client and people management, subject matter expertise, communication skills (both written and verbal), and the ability to draw conclusions and recommendations from a variety of evidence. Operate effectively as part of a global team, by participating and contributing to client discussions and proactively helping them with their decisions in creating and/or validating assumptions. Provide robust competitive assessments and insights that inform key decision-making processes for clients such as strategic brand planning, forecasting, and lifecycle management. Perform in-depth (secondary) market research and data analysis to derive understanding of the disease and patient segments based on client requirements. Analyse and integrate primary research and secondary data with other market knowledge to draw inferences and conclusions. Identify risks and opportunities for the business and support key decisions on business strategy with customer and market insights. Leverage all relevant data such as DRG/IQVIA to provide insights into forecast assumptions. Forge effective relationships with various stakeholders (both internal and external), e.g., teams running Market Research initiatives. Ensure effective delivery of work (models and presentations) to clients onsite or through video/teleconferences, through self and others in accordance with the project timelines and quality parameters. Convert Excel models into presentable reports and PowerPoint slides for effective utilization by clients, focusing on the storyboarding and narrative. Leadership Will be responsible for overall leadership, talent development, skill advancement, and engagement and retention of talent in the team (in case acting in the capacity of a team lead). Foster learning mindset in the team to proactively develop research and story-telling skills, leveraging multiple sources of data to answer business questions. Develop new capabilities leveraging new sources of data and methods that include segment-level analysis, etc. Engage with internal and external stakeholders to build effective relationships to create win-win engagement models. Mentor/Guide team members who can benefit from your expertise and experience. Qualifications Bachelors/Masters in Pharma / other life sciences background (Biotechnology, Bioinformatics, etc.) or bachelor’s in engineering / B. Tech or Master’s in Business Administration. 3-4 years of relevant forecasting and commercial analytics experience. Experience building financial models (e.g., market sizing, sales, and profit forecasts) using Microsoft Excel and other tools. In-depth expertise in developing, implementing, and managing holistic strategies for modelling (design, development, validation, calibration, documentation, approval, implementation, monitoring and reporting) in collaboration with life sciences teams. Broad experience in key functional areas of CI, analytics, and market research including the ability to understand and identify key business levers. Strong strategic skills including ability to see the big picture, along with conceptual and out-of-the-box thinking. Work experience in the US/European pharma industry is a plus. Ability to balance conflicting priorities. Proven people management skills. Other Competencies Entrepreneurial orientation. Excellent interpersonal and communication skills (written and verbal). Innovative and collaborative behavior, team player. Customer centricity and paying attention to details. Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge tech projects, transforming the life sciences industry Collaborative and supportive work environment. Opportunities for professional development and growth. Skills: skills,life sciences,data analysis,client relationship management,management,customer,excel,iqvia data,powerpoint,market access,forecasting,project management,research,market research,data

As a Field Bioinformatics Scientist at MGI, you will play a crucial role in designing, developing, optimizing, and maintaining in-house bioinformatics pipelines and various genomics applications. Your responsibilities will include understanding customer research questions, providing tailored solutions, and addressing technical issues from global sales and customers. You will collaborate with various teams such as FAS, FSE, Product Managers, and R&D to provide feedback, develop customized solutions, and support solution provision. Your role will also involve staying updated on sequencing, bioinformatics, MGI products, and industry trends, evaluating new software/tool suitability for different applications, and applying best-practice statistical and computational methods. Additionally, you will be responsible for providing technical pre-sales and post-sales support services, conducting training sessions and webinars for customers and the front-end sales team, and managing documentations such as training materials, FAQs, slides, videos, SOPs, and knowledge base content. The ideal candidate for this position should hold a Bachelor's degree or higher with at least 3 years of experience in academic or industrial settings in Bioinformatics, Computational Biology, Biostatistics, or Computer Science. You should have expertise in developing next-generation sequencing data analysis methods for DNA, RNA, and Long read analysis, along with proficiency in scripting languages like Python, bash, Perl, C++, and R. Excellent communication skills, the ability to work independently and collaboratively, manage tasks efficiently, and adapt to a fast-paced environment are essential for this role. Experience with version control systems such as Git, a wide range of bioinformatics tools, and proficiency in Linux operating systems like Ubuntu, Fedora, CentOS, etc., will be advantageous. At MGI, we believe in promoting advanced life science tools for future healthcare and transforming lives for the better. We encourage innovation, bold decision-making, and a commitment to improving the world we live in. Join us in leading life science innovation and contributing to a healthier and longer life for everyone. With a focus on transparency, fairness, and a friendly environment, we value our employees as partners and prioritize their physical and mental well-being. Embrace our agile management approach, enjoy independence with guidance, and foster a balanced life-work culture as we strive towards a brighter and more equal future together. #Omicsforall,

You will be joining a dynamic team working on a technology-driven platform within the biotech and life sciences sector. Leveraging AI and digital solutions, we aim to revolutionize scientific workflows. As the Chief Scientific Officer (CSO), you will be responsible for leading our Research and Development (R&D) efforts, defining our product strategy, and fostering industry partnerships. In this pivotal role, which is at a co-founder level, you will have significant ownership and wield strategic influence within the company. Your key responsibilities will include shaping the scientific and technical strategy for our cutting-edge biotech Software as a Service (SaaS) platform. By identifying market needs in biotech, pharma, and analytical sciences, you will guide our platform design, AI integration, and product development. Moreover, you will be tasked with establishing strategic partnerships with academic institutions, biotech firms, and research labs. Ensuring regulatory compliance, such as Good Laboratory Practices (GLP), Good Manufacturing Practices (GMP), and International Organization for Standardization (ISO), will be part of your mandate. You will also be instrumental in devising monetization models and crafting business growth strategies for the company. The ideal candidate for this role would possess a PhD, MSc, or MTech in Biotechnology, Bioinformatics, Life Sciences, or related disciplines. Previous experience in scientific R&D, biotech startups, Contract Research Organizations (CROs), or pharmaceutical companies will be advantageous. Additionally, familiarity with SaaS, AI-driven tools, or digital solutions in the biotech and life sciences domains is highly desirable. A robust network within academia, biotech, and research organizations, coupled with a keen interest in business strategy and scaling technology-driven ventures, would make you an ideal fit for this position. In return for your contributions, we offer a competitive compensation package that includes Equity (Employee Stock Ownership Plans - ESOPs) or a Co-Founder-Level Stake. This role presents the opportunity to lead scientific innovation within a high-impact biotech startup. You will have the chance to spearhead the development of a scalable, AI-powered solution that caters to the scientific community, shaping the future of scientific research and digital transformation.,

We're Hiring! Software Engineer – UI & Protocol Control Development OmicsVeu | Hyderabad, India 🌟 About OmicsVeu: OmicsVeu is at the forefront of innovation in automated spatial biology and molecular pathology. Our cutting-edge systems, including NanoVip and NanoMtrx , empower labs worldwide to accelerate discoveries in precision oncology, multiplex assays, and molecular diagnostics. 🚀 Role Overview: We’re looking for a talented Software Engineer passionate about creating seamless, intuitive User Interfaces (UI) and robust automation protocol controls. Your work will directly enhance user productivity, lab workflow efficiency, and precision on our flagship NanoVip and NanoMtrx platforms. 📌 Key Responsibilities: Design, develop, and implement intuitive UI solutions for OmicsVeu’s instrument systems. Develop and maintain software for complex laboratory automation protocols. Collaborate with cross-functional teams (hardware engineers, scientists, product managers) to convert user needs into actionable software requirements. Perform rigorous software testing, debugging, validation, and documentation. Actively participate in all stages of software lifecycle—from conceptualization to deployment. 🎯 Qualifications: Bachelor’s/Master’s degree in Computer Science, Software Engineering, Bioinformatics, or a related field. 3+ years experience in software development, ideally in laboratory automation, medical devices, or life sciences instrumentation. Proficiency in languages like VC++ with MFC, Python , C#, Java and modern UI frameworks on Windows or Linux platforms. Hands-on expertise in user-centric GUI development, automation control systems, and workflow software. Working knowledge of version control systems (e.g., Git, SVN). Familiarity with regulated software development standards (ISO 13485, FDA guidelines) is highly advantageous. Strong analytical, problem-solving, and communication skills. Ability to leverage AI tools for productivity enhancements, intuitive design, and efficient lab workflows. ✨ Why Join OmicsVeu? Work on groundbreaking platforms revolutionizing spatial biology and molecular diagnostics. Join a multidisciplinary team dedicated to precision oncology and diagnostics innovation. Collaborative, creative environment fostering professional growth. Competitive salary and comprehensive benefits. 🌐 Apply Today: Ready to shape the future of lab automation and diagnostics? Send your resume and a cover letter outlining your relevant experience - apply directly via LinkedIn: OmicsVeu is proud to be an equal-opportunity employer committed to diversity and inclusion. #Hiring #SoftwareEngineer #UIUX #Automation #LifeSciences #Bioinformatics #PrecisionOncology #HyderabadJobs #TechJobs #JoinOurTeam #OmicsVeu