Senior Data Scientist - Biotech and Pharma Domain

HOW MIGHT YOU DEFY IMAGINATION?

You’ve earned your degree. How will you use that achievement to reach your goals? Do more with the knowledge you’ve worked hard to acquire and the passion you already have. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies, reaching over 10 million patients worldwide. Become the professional you are meant to be in this meaningful role.

RDSO Data and Decision Science (DDS)

Senior Data Scientist

What you will do

Let’s do this! Let’s change the world. Data and advanced analytics are central to how Amgen accelerates scientific discovery and decision-making across Research & Development.

DDS is seeking a Senior Data Scientist based in Amgen India to deliver advanced analytics and data science solutions in close partnership with global R&D stakeholders. This role will report to the India Principal Data Scientist and operate as a hands-on individual contributor, with no formal line management responsibilities.

The successful candidate will apply an analytics-first mindset, independently owning analytical problem solving from concept through implementation, while collaborating closely with onshore DDS leadership, business partners, and IS/DTI teams.

Primary Responsibilities

Hands-On Analytics & Solution Delivery

• Apply an analytics-first mindset to R&D by designing and delivering advanced analytical solutions using modern statistical, data science, and AI/ML techniques

• Independently design, build, implement, launch, and maintain analytical solutions aligned to business strategies, goals, and roadmaps

• Serve as a hands-on subject matter expert for data, analytics, and metrics, providing practical, actionable insights to stakeholders

• Partner with business stakeholders to understand strategic objectives and translate them into well-scoped analytical approaches

• Implement cutting-edge analytics, AI/ML, and automation solutions across R&D use cases

• Own delivery of key performance metrics, dashboards, and analytical products, continuously improving efficiency, quality, and scalability

Global Collaboration & Delivery Execution

• Collaborate closely with onshore DDS leaders, business partners, and IS/DTI teams to deliver analytics solutions aligned to global DDS standards

• Establish active communication with teams across functions and geographies to ensure global alignment and consistent delivery

• Participate in regular working-hour overlap with global stakeholders to support effective collaboration, rapid issue resolution, and delivery transparency

• Partner with Business Product Owners on requirements gathering, user stories, UAT, deployments, training, and end-user support

Production Support & Run Operations

• Own run support for deployed analytics and data science solutions, including monitoring, issue triage, and resolution

• Monitor model and pipeline performance, addressing data drift, failures, and degradation

• Provide Level 2/3 production support in partnership with IS/DTI and data engineering teams

• Maintain analytics solutions through the full lifecycle, from development to steady-state operations

Technical Excellence & Professional Contribution

• Develop deep business domain knowledge to understand stakeholder needs, priorities, and long-term strategy

• Apply appropriate statistical, predictive, and advanced analytics techniques to answer complex business questions

• Contribute to team capability building through technical mentoring, knowledge sharing, and best-practice development, without formal people management responsibility

• Ensure all work adheres to Amgen SOPs, data governance, security, and compliance requirements

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The professional we seek brings strong analytical foundations, independence, and the ability to operate effectively in a global environment.

Basic Qualifications

• Bachelor's or Master's degree and 8 to 12 years of experience

Preferred Qualifications

• Bachelor’s degree or higher in life science, data science, computer science, business administration, or a related field

• 6+ years of experience delivering analytics platforms, advanced analytics, or data science solutions, preferably within Pharma, Biotech, or a regulated industry

• Proven experience independently leading and delivering complex analytics projects end to end

• Experience working effectively in globally distributed delivery models, partnering with onshore stakeholders from an offshore location

• Strong analytical, problem-solving, and storytelling skills, with the ability to communicate complex concepts to non-technical audiences

• Experience applying advanced analytics, AI/ML, GenAI, and statistical techniques to real-world business problems

• Proficiency in analytics and visualization tools such as PowerBI, Tableau, Spotfire, or similar

• Strong working knowledge of SQL and relational databases (Postgres, MySQL, MSSQL, Oracle, etc.)

• Hands-on experience with Databricks, Python, R, Spark, or similar analytics and data science tools

• Familiarity with web application development tools (e.g., Shiny, Dash, React)

• Working knowledge of version control systems (e.g., Git)

• Understanding of cloud platforms and services (e.g., AWS EC2, S3, Redshift, Athena)

• Experience with Agile or similar delivery methodologies

• Strong time management skills with the ability to manage multiple priorities and deliver independently

• Passion for continuous learning and staying current with emerging analytics and technology trends

Thrive

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

• Full support and career-development resources to expand your skills and maximize your potential

• A diverse and inclusive community of belonging, where teammates are empowered to contribute and lead

• Competitive total rewards supporting health, wealth, work/life balance, and career growth