Associate Director - Computational Biology (Cardiovascular, Metabolic, Obesity and Related)

About the role

Join Amgen’s Computational Biology group in the Center for Technology and Innovation (CfTI) within the Precision Medicine organization. This role focuses on analyzing clinical biomarker data—including metabolomics, genomics, transcriptomics, proteomics, spatial-omics, flow cytometry, immunoassays, and other biomarker assays—to advance Amgen’s clinical programs and studies. You will serve as the Computational Biology Therapeutic Area Lead and Global Biomarker Analysis Lead for Amgen’s Cardiovascular, Metabolic, and Obesity (CVMet) and Obesity and Related (OaR) teams.

Responsibilities

• 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 multi-omics, imaging, and digital biomarkers with clinical metadata and outcomes.
• Lead the analysis and interpretation of clinical biomarker data from platforms such as metabolomics, imaging, flow cytometry, immunoassays, transcriptomics, proteomics, and spatial omics.
• Generate evidence for target engagement evaluation, patient stratification, response prediction, indication selection, assay development, and diagnostic development.
• Collaborate with clinical scientists and biomarker leads to extract biological insights from high-dimensional datasets and integrate them into translational analytics and clinical development plans.
• Work cross-functionally with early development teams, biostatistics, clinical pharmacology, precision medicine 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 contribute to publications.

Qualifications

Basic Qualifications:

• 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.

Preferred Qualifications:

• PhD in Bioinformatics, Mathematics, Computer Science, Computational Biology, or Data Science, with a minor or robust background in Biology.
• Background in cardiovascular diseases, obesity, chronic weight management, and other metabolic diseases.
• Hands-on experience in statistical modeling, machine learning, and AI applied to clinical biomarker and clinical efficacy data.
• Strong understanding and practical skills in statistics for clinical data analysis.
• Proven expertise in analyzing multi-modal, multi-dimensional, and large-scale biological data.
• Prior experience in a matrixed biotechnology or pharmaceutical setting.
• Proficiency in R and Python programming, with familiarity in data manipulation and visualization principles.
• Familiarity with agentic frameworks and the ability to build agents for task automation.
• Strong understanding of platforms used in clinical biomarker research, including pathomics, cytomics, immunoassays, mass-spectrometry, metabolomics, next-generation sequencing (NGS), and proteomics.
• Knowledge of inflammatory, cardiovascular, and metabolic diseases and how computational biology drives drug discovery and development.
• 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.
• Strong project management skills, organizational awareness, self-motivation, independence, and leadership.

Benefits

Amgen offers a Total Rewards Plan, based on eligibility, including:

• A comprehensive employee benefits package (health and welfare plans for staff and eligible dependents, retirement and savings plan with generous company contributions, group medical, dental, and vision coverage, life and disability insurance, and flexible spending accounts).
• A discretionary annual bonus program (or sales-based incentive plan for field sales representatives).
• Stock-based long-term incentives.
• Award-winning time-off plans.
• Flexible work models where possible.

Pay

The expected annual salary range for this role in South San Francisco is posted. The expected salary range outside of South San Francisco is $182,465 - $246,865. Actual salary will vary based on relevant skills, experience, and qualifications.