Computational Biology, Associate Director
About the position Responsibilities • 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. Requirements • 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. Nice-to-haves • 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 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 • Comprehensive employee benefits package, including a 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. • Stock-based long-term incentives. • Award-winning time-off plans and bi-annual company-wide shutdowns. • Flexible work models, including remote work arrangements, where possible. Apply tot his job