Computational Biology, Associate Director

Career Category

Job Description

If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of. Join us. 

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

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What you will do 

Let’s do this. Let’s change the world.

Responsibilities

The Computational Biology group in the Center for Technology and Innovation (CfTI) within the Precision Medicine organization at Amgen is seeking a highly motivated Computational Biologist with expertise in analyzing clinical biomarker data, including but not limited to metabolomics, genomics, transcriptomics, proteomics, spatial-omics, flow cytometry, immunoassays, and other biomarker assays. In this vital role, you will contribute to advancing Amgen’s clinical programs and studies by integrating computational biology and bioinformatics techniques with biological and clinical data. The ideal candidate will have experience in matrixed environments, supporting therapeutic development by providing insights derived from clinical biomarker data. A background in cardiovascular diseases, obesity and chronic weight management, and other metabolic diseases is required.

• Support Amgen CVMet and OaR teams as a 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, including metabolomics, imaging, flow cytometry, immunoassays, transcriptomics, proteomics, and spatial omics.
• Support the generation of evidence for target engagement evaluation, patient stratification, response prediction, indication selection, assay development, and diagnostic development.
• Work closely with clinical scientists and biomarker leads, to extract biological insights from high-dimensional datasets and integrate them into translational analytics, precision medicine plans and clinical development plans.
• 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 Amgen internal and external presentations with fit-for-purpose analysis insights and messaging and support the development of publications

Basic Qualifications:

• Doctorate degree PhD OR PharmD OR MD [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 and 8 years of scientific experience
• 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