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Amgen

Associate Director – Computational Biology, Cardiovascular, Metabolic, Obesity and Related

Amgen

Join 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 & technologies
Python

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

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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