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 dynamic professional we seek is a self-starter with these qualifications.

Basic Qualifications:

Doctorate degree

OR

Master’s degree and 2 years of Computer Science, Engineering, or equivalent field experience

OR

Bachelor’s degree and 4 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.

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:

• 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.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.

Sponsorship for this role is not guaranteed.