Senior Data Scientist

Overview

Lead complex analytical initiatives for Clinical Development by designing and deploying advanced modeling, forecasting, and AI solutions. Deliver scalable analytics, influence strategic decisions, and help develop the capabilities of the broader Data Science team.

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; 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; 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.
• Deliver validated analyses, models and documentation in a timely manner and support adoption.
• Improve the quality, reproducibility, reuse and maintainability of analytical solutions.
• Provide evidence that insights improve operational decisions and build team capability.

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).