Data Scientist III

Hyderabad, INPosted Jul 13, 2026
Career Areas Career Stories Join Talent Community Candidate Login English English Italiano Español Français Português Norsk Deutsch 日本語 Bahasa melayu 中文 (简体) 中文 (繁體) 한국어 ภาษาไทย Nederlands Polski Yкраїнська Hrvatski Ελληνικά Magyar čeština Türkçe Pусский Haitian עברית Brazilian Português Dansk Suomi Svenska Français (Canada) Português (Portugal) Careers Home Life at BMS Career Areas Student Opportunities Events How We Recruit Career Stories Search this site Join Talent Community Candidate Login English English Italiano Español Français Português Norsk Deutsch 日本語 Bahasa melayu 中文 (简体) 中文 (繁體) 한국어 ภาษาไทย Nederlands Polski Yкраїнська Hrvatski Ελληνικά Magyar čeština Türkçe Pусский Haitian עברית Brazilian Português Dansk Suomi Svenska Français (Canada) Português (Portugal) Single PositionView All JobsData Scientist IIIHyderabad - TS - IN No longer accepting applications.Job IDR1600893Date posted03/29/2026DepartmentNot ApplicableRole OverviewAs a Data Scientist III, you will be a strong individual contributor embedded in the Clinical Development analytics function. You will design and build sophisticated ML and AI solutions, conduct rigorous statistical analyses on clinical datasets, and collaborate closely with clinical, medical, and operational stakeholders to translate complex data into actionable insights. This role emphasizes hands-on technical delivery, sound scientific judgment, and the ability to work independently on moderately complex to complex problems.Roles & ResponsibilitiesAnalytical Delivery & ModelingDesign, develop, and deploy predictive modeling and data science solutions — including regression, clustering, survival analysis, time series forecasting, and Monte Carlo simulation — to address clinical development challenges.Conduct rigorous statistical investigations and exploratory data analysis across clinical datasets including trial data, EHR/EMR, and real-world evidence (RWE).Translate moderately ambiguous scientific or operational problems into structured, hypothesis-driven analytical frameworks spanning study feasibility, trial execution, and patient analytics.Build and maintain data and analytics pipelines — contributing to pipeline design decisions and ensuring computational efficiency within established architectural patterns.Partner with senior data scientists and engineering teams on data quality, pipeline reliability, and scalability improvements.AI & GenAI SolutionsDesign and implement AI/GenAI-powered solutions — including LLMs, RAG frameworks, and Agentic AI architectures — to augment clinical workflows and decision-making under senior guidance.Apply prompt engineering best practices and contribute to LLM orchestration patterns within the clinical development context.Stay current with emerging AI/ML methodologies and proactively surface opportunities to apply new techniques to clinical problems.Stakeholder Engagement & CommunicationCollaborate with clinical, medical, and scientific stakeholders to define project objectives, shape data-driven hypotheses, and align on KPIs.Present analytical findings and recommendations to functional leads and cross-functional teams through clear visualizations and structured narratives.Communicate trade-offs between analytical approaches clearly and confidently, with appropriate scientific justification.Engineering & MLOps PracticesApply MLOps and GitOps practices in your own work — ensuring models and pipelines are versioned, documented, and maintainable.Adhere to and actively contribute to engineering standards, code quality, and best practices established by the team.Work within cloud platforms (AWS/Azure), big data technologies (Spark), and version control tooling (GitHub) at scale.Support junior data scientists with technical guidance and peer code review as needed.Skills & CompetenciesTechnical SkillsStrong proficiency in Python, PySpark, or R — including clinical and statistical packages and ML frameworks.Solid understanding of experimental design,...

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