Sr Data Scientist - PKDM-BA

AmgenSouth San Francisco, CA
$143,821 - $194,581

About The Position

Join Amgen’s Mission of Serving Patients. At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Sr. Data Scientist - Pharmacokinetics & Drug Metabolism What you will do Let’s do this. Let’s change the world. In this vital role you will be responsible for developing, implementing, and supporting scientific computing platforms and shared analytical environments that enable efficient analysis, modeling, and collaboration across the organization. This includes configuring and maintaining core tools and packages, supporting version-controlled workflows, and enabling access to enterprise data sources and cloud-based infrastructure. The successful candidate will contribute to the development of standardized, reproducible, and traceable workflows that promote consistency, scalability, and FAIR data principles. They will work closely with scientists to improve data accessibility, automate routine processes, and deliver tools and applications that accelerate research and development activities.

Requirements

  • Doctorate degree PhD OR PharmD OR MD [and relevant post-doc where applicable] OR Master’s degree and 3 years of Computer Science, Engineering, or equivalent field experience OR Bachelor’s degree and 5 years of Computer Science, Engineering, or equivalent field experience

Nice To Haves

  • Experience developing or supporting scientific computing environments, analytical tools, or data science platforms.
  • 2+ years of experience with containerization and orchestration tools (Docker, Kubernetes).
  • Proficiency in one or more scientific programming languages such as R or Python.
  • Experience developing and deploying data-driven applications (e.g., R Shiny, Dash, Streamlit, or similar frameworks).
  • Demonstrated experience accessing data warehouses using SQL.
  • Familiarity with cloud services such as AWS, as well as experience in on-premises server management.
  • Understanding of reproducible research practices, software lifecycle management, and FAIR data principles.
  • Basic understanding of the pharmaceutical industry and pharmacokinetics.
  • Excellent communication and interpersonal skills, with a collaborative mindset and an eagerness to learn and share knowledge in a fast-paced environment.

Responsibilities

  • Develop and maintain scientific computing platforms and shared analytical environments for data analysis and modeling.
  • Design and implement scalable, reproducible workflows aligned with FAIR data principles and best practices.
  • Enhance data accessibility and automate processes to improve research efficiency and productivity.
  • Build and deploy reusable data-driven tools and applications to support scientific research and development.
  • Collaborate with scientists and cross-functional teams to deliver technical solutions and improve workflows.
  • Provide training, documentation, and technical guidance, translating complex concepts for non-technical users and fostering a collaborative learning environment.

Benefits

  • A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
  • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
  • Stock-based long-term incentives
  • Award-winning time-off plans
  • Flexible work models where possible.
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