Computational Biology Data Scientist
Core
Design and implement predictive and prognostic biomarker models and multi-omic integration frameworks to enable translational insights from clinical trial data for Amgen's global development portfolio.
Role type
Senior IC computational biology data scientist (AI/ML focus)
Builds
Production-grade analytical platforms, predictive models, and AI-enabled systems for drug development
Domain
Biopharmaceuticals / Computational Biology / Clinical Data Science
Deliverable
production ML models
Required skills
Python, R, statistical modeling, machine learning, deep learning, multi-omic data integration, causal inference, model interpretability, clinical trial data analysis
Preferred skills
Generative AI, foundation models, agentic AI systems, drug development lifecycle knowledge, NGS/transcriptomics/proteomics expertise, peer-reviewed publications
Technologies
PyTorch, TensorFlow, scikit-learn, tidymodels, GPT-class models
Responsibilities
Design predictive biomarker models for disease stratification and adverse events; Develop multi-omic integration frameworks (factor models, latent variables); Build and evaluate ML/DL models for biological and clinical data; Partner with engineering to ensure reproducibility and scalability; Translate biological questions into analytical strategies; Collaborate with biomarker scientists, clinicians, and biostatisticians
Seniority
Senior, hands-on IC
