Overview
Lead complex analytical initiatives as a Senior Data Scientist, designing and deploying advanced modeling, forecasting, and AI solutions that support data-driven decision making across Clinical Development. The role combines technical expertise, stakeholder engagement, strategic decision support, and development of broader Data Science capabilities.
What you'll do
- Lead the design, development and validation of advanced models for clinical trial planning and operations.
- Integrate and assess multi-source clinical and operational data, and define analysis-ready data and quality checks.
- Select fit-for-purpose statistical, forecasting, ML or AI methods, and evaluate alternatives, uncertainty and limitations.
- Develop robust code, reusable components and analytical pipelines using Python, R, SQL and approved cloud platforms.
- Translate results into practical scenarios, recommendations and decision support for study and portfolio teams.
- Guide Data Scientists and coordinate delivery with clinical, statistics, programming, digital and data-platform partners.
- Own complex analytical workstreams and deliver agreed scope, quality and timelines.
- Ensure methods, code, validation, documentation and communication meet reproducibility, compliance and governance expectations.
- Improve reusable modelling capabilities, standards and ways of working across the Data Science team.
- Identify and mitigate data, model, adoption and delivery risks, and escalate material issues with clear options.
- Co-design analytical products with CfDA, GBS, GDO and clinical stakeholders around priority decisions and user needs.
- Lead user testing, adoption feedback and iterative improvement of models and technology-enabled products.
- Build trusted stakeholder relationships and communicate trade-offs, assumptions and limitations early.
What you'll need
- Minimum of 8-13 years of experience required overall.
- Doctorate degree and 2 years of directly related experience, or Master’s degree and 4 years of directly related experience, or Bachelor’s degree and 6 years of directly related experience, or Associate’s degree and 10 years of directly related experience, or high school diploma / GED and 12 years of directly related experience.
Nice to have
- Advanced degree in Statistics, Mathematics, Operations Research, Computer Science, Life Sciences or another quantitative field.
- Three or more years in clinical research, pharma, predictive analytics or a related applied setting.
- Advanced capability in Python and/or R plus SQL, reproducible workflows, version control, testing and cloud analytics.
- End-to-end experience developing, validating and operationalizing statistical, forecasting, ML or AI solutions.
- Experience leading analytical workstreams and coaching peers or junior colleagues.
Details
- Location: Amgen India, Hyderabad.
Read the full description and apply on the company’s own careers page.