Senior Data Scientist, Computational Biology

Career Category

Clinical Development

Role Summary

The AIN-based Computational Biology Senior Data Scientist will design, implement, and advance advanced analytical and AI-driven frameworks to enable translational and reverse-translational insights from clinical trial data across Amgen’s global development portfolio. This role sits at the intersection of computational biology, advanced statistics, and modern machine learning, with a strong emphasis on predictive and prognostic biomarker modeling, multi-omic data integration, and next-generation AI-enabled analytical platforms.

The successful candidate will contribute intellectually and technically to Amgen’s precision medicine strategy by developing rigorous, scalable, and scientifically interpretable models that link molecular, cellular, and clinical phenotypes to disease stratification, efficacy, safety, and adverse event outcomes. This role requires demonstrated depth—not familiarity—in applied modeling, multi-omic analytics, and AI systems, with evidence of impact through peer-reviewed publications, production-grade codebases, or verifiable industry experience.

Key Responsibilities

Advanced Modeling & Translational Analytics

• Design and implement predictive and prognostic biomarker models using clinical trial and biomarker data, including response, resistance, disease stratification, and adverse event endpoints.

• Develop and apply multi-omic integration frameworks (e.g., factor models, MOFA-style latent variable approaches, matrix factorization, graph-based methods) to jointly analyze genomics, transcriptomics, proteomics, epigenomics, imaging, and clinical covariates.

• Apply advanced statistical methodologies relevant to clinical development, including longitudinal and mixed-effects models, survival analysis, missing data and imputation strategies, confounder adjustment, and model interpretability.

• Contribute to study-level and cross-program analyses that inform mechanism of action, patient selection strategies, and development decisions.

Machine Learning, AI & Emerging Capabilities