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

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Hard Skills

computational biologybioinformaticsstatistical modelingmachine learningAIdata analysisR programmingPython programmingdata manipulationdata visualization

Soft Skills

communication skillsproject managementorganizational awarenessself-motivationindependenceleadershipcollaborationanalytical thinkingpresentation skillscross-functional teamwork

Tools & Technologies

pathomicscytomicsimmunoassaysmass-spectrometrymetabolomics platformsnext-generation sequencingproteomicsclinical metadatabiostatisticsclinical pharmacology

Certifications & Qualifications

PhD in BioinformaticsPhD in MathematicsPhD in Computer SciencePhD in Computational BiologyPhD in Data Science

Industry Keywords

clinical biomarker dataprecision medicinetherapeutic moleculesevidence generationtarget engagement evaluationpatient stratificationresponse predictionindication selectionbiotechnologypharmaceutical

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