Scientist, Integrated Computational and Experimental Inflammation Discovery

Amgen•South San Francisco, CA

2d•$123,053 - $166,483

About The Position

The Scientist will contribute to Inflammation discovery programs by designing and carrying out wet-lab studies and applying computational and AI-enabled approaches to analyze and integrate omics data. The role connects computational insights with experimental findings to deepen understanding of disease biology, prioritize therapeutic targets, and develop and test mechanistic hypotheses in the laboratory. Working with minimal supervision, the Scientist manages defined program components, develops scientific expertise, and communicates data-driven insights that support project decisions.

Requirements

Doctorate degree; or a master’s degree and 2 years of experience; or a bachelor’s degree and 4 years of experience in Immunology, Cell Biology, Molecular Biology, Pharmacology, Biomedical Sciences, Computational Biology, or Bioengineering.
Demonstrated hands-on experience independently designing, executing, troubleshooting, and interpreting wet-lab experiments to investigate inflammation biology and validate therapeutic hypotheses.
Strong grounding in inflammation and immunology, with the ability to translate computational insights into testable hypotheses and follow-up laboratory studies.
Experience analyzing spatial transcriptomics data and/or integrating multimodal omics datasets to investigate disease mechanisms and inform target discovery.
Hands-on proficiency in Python or R for omics data analysis and visualization, including the ability to critically evaluate analytical methods and outputs from AI-enabled tools and computational workflows.
Ability to work independently and manage defined project components.
Strong scientific communication and cross-functional collaboration skills.

Responsibilities

Plan and coordinate defined project tasks and activities that support target identification, validation, and progression of Inflammation discovery programs.
Design, execute, analyze, and interpret bench and wet-lab studies to investigate disease mechanisms and test therapeutic hypotheses with scientific rigor and appropriate urgency.
Apply computational, AI-enabled, and data-analytic approaches to generate mechanistic insights, refine experimental design, and integrate findings across data sources.
Integrate experimental results with published literature, human genetics, clinical observations, and internal or external datasets to inform ongoing project design.
Develop and optimize solutions to technical problems of advanced scope and complexity within an emerging area of expertise.
Collaborate across functions and departments, contributing at the project-team level and building constructive relationships with wet-lab, computational, translational, and drug-discovery partners.
Organize, interpret, document, and present project data and scientific recommendations within work groups, project teams, and internal scientific forums.
Coach or guide others within the work group or project team where appropriate, and contribute to a collaborative culture of scientific curiosity, knowledge sharing, and operational excellence.

Benefits

Retirement and Savings Plan with generous company contributions
Group medical coverage
Dental coverage
Vision coverage
Life insurance
Disability insurance
Flexible spending accounts
Discretionary annual bonus program, or a sales-based incentive plan for field sales representatives
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models where possible
Career development opportunities
Work/life balance