Jobs at Amgen Inc

As a Senior Data Scientist, you will independently lead complex analytical initiatives, designing and deploying advanced modeling, forecasting, and AI solutions that enable data-driven decision making across Clinical Development. This role combines deep technical expertise with strong stakeholder engagement to deliver high-quality, scalable analytics, influence strategic decisions, and help develop the capabilities of the broader Data Science team.

Responsibilities

• 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.

Accountabilities

• 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.

End-User Experience

• 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.

Metrics

• Timely delivery and adoption of validated analyses, models and documentation.
• Quality, reproducibility, reuse and maintainability of analytical solutions.
• Evidence that insights improve operational decisions and build team capability.

Basic Qualifications

• 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

Preferred Skills

• 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.