Senior Data Scientist, Biotech/Pharma Domain

Career CategoryInformation SystemsJob DescriptionJob DescriptionHOW MIGHT YOU DEFY IMAGINATION

Youve earned your degree. How will you use that achievement to reach your goals Do more with the knowledge youve worked hard to acquire and the passion you already have. At Amgen, our shared missionto serve patientsdrives all that we do. It is key to our becoming one of the worlds 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 ScientistWhat you will doLets do this! Lets 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 ResponsibilitiesHands-On Analytics & Solution DeliveryApply 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 ExecutionCollaborate 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 OperationsOwn 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 ContributionDevelop 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 youWe 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 QualificationsBachelor's or Master's degree and 8 to 12 years of experience

Preferred QualificationsBachelors 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