Scientist, Integrated Computational and Experimental Inflammation Discovery
Amgen
Summary
Contribute to Inflammation discovery programs by personally designing and executing wet-lab studies and applying computational and AI-enabled approaches to analyze and integrate omics data. Connect these insights with experimental findings to deepen understanding of disease biology, prioritize therapeutic targets, and develop and test mechanistic hypotheses in the laboratory. Work with minimal supervision, manage defined program components, develop an area of scientific expertise, and communicate data-driven insights that help advance project decisions.
Job description
Key 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/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.
Basic Qualifications
- Doctorate degree OR Master's degree and 2 years of experience in Immunology, Cell Biology, Molecular Biology, Pharmacology, Biomedical Sciences, Computational Biology, Bioengineering OR Bachelor's degree and 4 years of experience in Immunology, Cell Biology, Molecular Biology, Pharmacology, Biomedical Sciences, Computational Biology, Bioengineering
Preferred Qualifications
- 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.
Requirements
- Doctorate degree OR Master's degree and 2 years of experience in Immunology, Cell Biology, Molecular Biology, Pharmacology, Biomedical Sciences, Computational Biology, Bioengineering OR Bachelor's degree and 4 years of experience in Immunology, Cell Biology, Molecular Biology, Pharmacology, Biomedical Sciences, Computational Biology, 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
Benefits
- Health Insurance
- Dental Coverage
- Vision Coverage
- Life Insurance
- Disability Insurance
- Retirement and Savings Plan
- Flexible Spending Accounts
- Discretionary Annual Bonus
- Stock-Based Long-Term Incentives
- Paid Time-Off
Company overview
Amgen Inc. is a leading American multinational biopharmaceutical company headquartered in Thousand Oaks, California, founded in 1980. As one of the world's largest independent biotechnology companies, Amgen specializes in discovering, developing, manufacturing, and delivering innovative human therapeutics. The company focuses on six key therapeutic areas: inflammation, oncology/hematology, bone health, cardiovascular disease, nephrology, and neuroscience. Amgen's portfolio includes blockbuster drugs such as Enbrel for autoimmune diseases, Prolia and XGEVA for osteoporosis, Repatha for cholesterol management, Otezla for psoriasis, and Neulasta for chemotherapy-induced neutropenia. With approximately 28,000 employees worldwide, Amgen operates as a component of both the Dow Jones Industrial Average and Nasdaq-100 indices. The company maintains a robust research and development pipeline with numerous clinical programs across various stages, leveraging cutting-edge biotechnology and human genetic data to address some of the world's most challenging diseases. Amgen's manufacturing capabilities span multiple global locations, and it distributes products through pharmaceutical wholesale distributors and direct-to-consumer channels.