Sr Data Scientist - PKDM-BA

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. Key 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. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The Senior Data Scientist we seek is a researcher with these qualifications.

Basic Qualifications Doctorate degree PhD PharmD MD (and relevant post-doc where applicable) Master’s degree and 3 years of Computer Science, Engineering, or equivalent field experience Bachelor’s degree and 5 years of Computer Science, Engineering, or equivalent field experience Preferred Qualifications 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. What you can expect from us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being.

From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.

In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: 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. Refer to the Work Location Type in the job posting to see if this applies. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. #J-18808-Ljbffr