Senior Data Scientist

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.

This position is currently located at Amgen India (Hyderabad).

Win

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a strategic Data Science leader with a passion for tech-enabled transformation.

Basic Qualifications:

Minimum of 8-13 years of experience required over all

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.

Thrive

What you can expect of us

As we work to develop treatments that take care of others, so we work to care for our teammates’ professional and personal growth and well-being.

Vast opportunities to learn and develop within our global organization

Diverse and inclusive community of belonging, where teammates are empowered to bring ideas to the table and act

Generous Total Rewards Plan comprising health, finance and wealth, work/life balance, and career benefits

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