Doctorate or master's degree in quantitative field
8+ years relevant experience in computational biology
Expertise in python and r for scientific computing
The role focuses on designing advanced analytical and AI-driven frameworks to enable translational insights from clinical trial data across Amgen's global portfolio
Job Summary
The role focuses on designing advanced analytical and AI-driven frameworks to enable translational insights from clinical trial data across Amgen's global portfolio.
Candidates will develop rigorous, scalable models linking molecular phenotypes to disease stratification, efficacy, and safety outcomes using multi-omic data integration.
This position requires deep expertise in applied modeling and AI systems, with a strong emphasis on producing scientifically interpretable results for precision medicine.
Matching Summary
The role focuses on designing advanced analytical and AI-driven frameworks to enable translational insights from clinical trial data across Amgen's global portfolio.
Skills & Requirements
Must-have
Doctorate or Master's degree in quantitative field
8+ years relevant experience in computational biology
Expertise in Python and R for scientific computing
Experience with PyTorch, TensorFlow, and scikit-learn
Proven track record in multi-omic data integration
Deep knowledge of clinical trial data and endpoints
Nice-to-have
Peer-reviewed publications in reputable journals
Experience with generative AI and foundation models
Strong communication skills for global teams
Intellectual humility and adaptability
Production-grade codebase contributions on GitHub
Key Requirements
Doctorate OR Master's degree in Bioinformatics, Computational Biology, Statistics, Math, CS, or Data Science
8+ years of relevant industry experience
3-5 years in a quantitative discipline with 2-3 years in industry setting
Demonstrated hands-on experience with statistical or ML models for biomedical datasets
Proficiency in modern ML/DL libraries including PyTorch and TensorFlow