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Sr Data Scientist(Biotech/Pharma Domain)

Amgen

Sr Data Scientist(Biotech/Pharma Domain)

full-timePosted: Jul 29, 2026Updated: Aug 28, 2026India - Hyderabad

Job Description

Career CategoryInformation SystemsJob DescriptionJob DescriptionHOW 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 ScientistWhat you will doLet’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 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 techniquesIndependently design, build, implement, launch, and maintain analytical solutions aligned to business strategies, goals, and roadmapsServe as a hands-on subject matter expert for data, analytics, and metrics, providing practical, actionable insights to stakeholdersPartner with business stakeholders to understand strategic objectives and translate them into well-scoped analytical approachesImplement cutting-edge analytics, AI/ML, and automation solutions across R&D use casesOwn delivery of key performance metrics, dashboards, and analytical products, continuously improving efficiency, quality, and scalabilityGlobal Collaboration & Delivery ExecutionCollaborate closely with onshore DDS leaders, business partners, and IS/DTI teams to deliver analytics solutions aligned to global DDS standardsEstablish active communication with teams across functions and geographies to ensure global alignment and consistent deliveryParticipate in regular working-hour overlap with global stakeholders to support effective collaboration, rapid issue resolution, and delivery transparencyPartner with Business Product Owners on requirements gathering, user stories, UAT, deployments, training, and end-user supportProduction Support & Run OperationsOwn run support for deployed analytics and data science solutions, including monitoring, issue triage, and resolutionMonitor model and pipeline performance, addressing data drift, failures, and degradationProvide Level 2/3 production support in partnership with IS/DTI and data engineering teamsMaintain analytics solutions through the full lifecycle, from development to steady-state operationsTechnical Excellence & Professional ContributionDevelop deep business domain knowledge to understand stakeholder needs, priorities, and long-term strategyApply appropriate statistical, predictive, and advanced analytics techniques to answer complex business questionsContribute to team capability building through technical mentoring, knowledge sharing, and best-practice development, without formal people management responsibilityEnsure all work adheres to Amgen SOPs, data governance, security, and compliance requirementsWhat 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 experiencePreferred QualificationsBachelor’s degree or higher in life science, data science, computer science, business administration, or a related field6+ years of experience delivering analytics platforms, advanced analytics, or data science solutions, preferably within Pharma, Biotech, or a regulated industryProven experience independently leading and delivering complex analytics projects end to endExperience working effectively in globally distributed delivery models, partnering with onshore stakeholders from an offshore locationStrong analytical, problem-solving, and storytelling skills, with the ability to communicate complex concepts to non-technical audiencesExperience applying advanced analytics, AI/ML, GenAI, and statistical techniques to real-world business problemsProficiency in analytics and visualization tools such as PowerBI, Tableau, Spotfire, or similarStrong 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 toolsFamiliarity 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 methodologiesStrong time management skills with the ability to manage multiple priorities and deliver independentlyPassion for continuous learning and staying current with emerging analytics and technology trendsThriveAs 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 potentialA diverse and inclusive community of belonging, where teammates are empowered to contribute and leadCompetitive total rewards supporting health, wealth, work/life balance, and career growth.

Locations

  • India - Hyderabad

Skills Required

  • analyticsintermediate
  • SQLintermediate
  • Databricksintermediate
  • web application development toolsintermediate
  • version control systemsintermediate
  • Agileintermediate

Required Qualifications

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

Preferred Qualifications

  • Bachelor’s degree or higher in life science, data science, computer science, business administration, or a related field (degree in higher in life science)
  • 6+ years of experience delivering analytics platforms, advanced analytics, or data science solutions, preferably within Pharma, Biotech, or a regulated industry (experience, 6 years)
  • Proven experience independently leading and delivering complex analytics projects end to end (experience)
  • Experience working effectively in globally distributed delivery models, partnering with onshore stakeholders from an offshore location (experience)
  • Strong analytical, problem-solving, and storytelling skills, with the ability to communicate complex concepts to non-technical audiences (experience)
  • Experience applying advanced analytics, AI/ML, GenAI, and statistical techniques to real-world business problems (experience)
  • Proficiency in analytics and visualization tools such as PowerBI, Tableau, Spotfire, or similar (experience)
  • Strong working knowledge of SQL and relational databases (Postgres, MySQL, MSSQL, Oracle, etc.) (experience)
  • Hands-on experience with Databricks, Python, R, Spark, or similar analytics and data science tools (experience)
  • Familiarity with web application development tools (e.g., Shiny, Dash, React) (experience)
  • Working knowledge of version control systems (e.g., Git) (experience)
  • Understanding of cloud platforms and services (e.g., AWS EC2, S3, Redshift, Athena) (experience)
  • Experience with Agile or similar delivery methodologies (experience)
  • Strong time management skills with the ability to manage multiple priorities and deliver independently (experience)
  • Passion for continuous learning and staying current with emerging analytics and technology trends (experience)
  • Bachelor’s degree or higher in life science, data science, computer science, business administration, or a related field (degree in higher in life science)
  • 6+ years of experience delivering analytics platforms, advanced analytics, or data science solutions, preferably within Pharma, Biotech, or a regulated industry (experience, 6 years)
  • Proven experience independently leading and delivering complex analytics projects end to end (experience)
  • Experience working effectively in globally distributed delivery models, partnering with onshore stakeholders from an offshore location (experience)
  • Strong analytical, problem-solving, and storytelling skills, with the ability to communicate complex concepts to non-technical audiences (experience)
  • Experience applying advanced analytics, AI/ML, GenAI, and statistical techniques to real-world business problems (experience)
  • Proficiency in analytics and visualization tools such as PowerBI, Tableau, Spotfire, or similar (experience)
  • Strong working knowledge of SQL and relational databases (Postgres, MySQL, MSSQL, Oracle, etc.) (experience)
  • Hands-on experience with Databricks, Python, R, Spark, or similar analytics and data science tools (experience)
  • Familiarity with web application development tools (e.g., Shiny, Dash, React) (experience)
  • Working knowledge of version control systems (e.g., Git) (experience)
  • Understanding of cloud platforms and services (e.g., AWS EC2, S3, Redshift, Athena) (experience)
  • Experience with Agile or similar delivery methodologies (experience)
  • Strong time management skills with the ability to manage multiple priorities and deliver independently (experience)
  • Passion for continuous learning and staying current with emerging analytics and technology trends (experience)

Responsibilities

  • 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.

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