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Associate Director – Computational Biology, Cardiovascular, Metabolic, Obesity and Related
AmgenJoin Amgen as a Computational Biologist to analyze clinical biomarker data supporting precision medicine initiatives. Collaborate cross-functionally to advance clinical programs in cardiovascular and metabolic diseases.
Posted 5/22/2026full-timeCalifornia, Massachusetts • 🇺🇸 United StatesSenior💰 $182,465 - $246,865 per yearWebsite
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- The Computational Biology group in the Center for Technology and Innovation (CfTI) within the Precision Medicine organization is seeking a highly motivated Computational Biologist with expertise in analyzing clinical biomarker data
- This role will contribute to advancing clinical programs and studies by integrating computational biology and bioinformatics techniques with biological and clinical data
- Support CVMet and OaR teams as a CompBio Therapeutic Area Lead and Global Biomarker Analysis Lead
- Develop biomarker analysis plans to support precision medicine, evidence generation and reverse translation during clinical development of therapeutic molecules
- Define and execute workflows for biomarker data analysis, integrating multiple omics, imaging and digital biomarkers, integrated with clinical metadata and outcomes
- Lead the analysis and interpretation of clinical biomarker data from various assay platforms
- Support the generation of evidence for target engagement evaluation, patient stratification, response prediction, indication selection, assay development, and diagnostic development
- Collaborate cross-functionally with early development teams, biostatistics, clinical pharmacology, precision medicine leads, clinical biomarker leads, and research teams to manage data integration, analysis, and presentation
- Support internal and external presentations with fit-for-purpose analysis insights and messaging and support the development of publications
Requirements
What you’ll need- Doctorate degree [and relevant post-doc where applicable] and 4 years of scientific experience OR Master’s degree and 7 years of scientific experience OR Bachelor’s degree and 9 years of scientific experience
- PhD in Bioinformatics, Mathematics, Computer Science, Computational Biology or Data Science, with a minor or robust background in Biology
- A background in cardiovascular diseases, obesity and chronic weight management, and other metabolic diseases is highly preferred
- Hands-on experience in statistical modeling, machine learning, and AI applied to clinical biomarker and clinical efficacy data
- A strong understanding and practical skills in statistics and their use in data analysis for clinical settings
- Proven expertise in analyzing multi-modal, multi-dimensional, and large-scale biological data
- Prior experience working in a matrixed biotechnology or pharmaceutical setting
- Proficiency in R and Python programming, with familiarity in various principles for data manipulation and visualization
- Familiarity with agentic frameworks and the ability to build agents for day-to-day tasks that can be automated
- Strong understanding of platforms used in clinical biomarker research, including pathomics, cytomics, immunoassays, mass-spectrometry, other metabolomics platforms, next-generation sequencing (NGS), and proteomics
- Knowledge of inflammatory, cardiovascular and metabolic diseases and how computational biology can drive drug discovery and development in these areas
- Ability to translate biological and medical questions into analytical models providing actionable results
- Excellent written and oral communication skills with the ability to present complex data analyses in diverse settings, including cross-functional team meetings, external collaborations, and scientific publications
- Strong project management skills and organizational awareness, self-motivation, independence, and leadership.
Benefits
Comp & perks- 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
- 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
ATS Keywords
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Hard Skills & Tools
computational biologybioinformaticsstatistical modelingmachine learningAIdata analysisR programmingPython programmingdata manipulationdata visualization
Soft Skills
communication skillsproject managementorganizational awarenessself-motivationindependenceleadershipcollaborationanalytical thinkingpresentation skillscross-functional teamwork
Certifications
PhD in BioinformaticsPhD in MathematicsPhD in Computer SciencePhD in Computational BiologyPhD in Data Science