Computational Biology Data Scientist

Design and implement predictive and prognostic biomarker models using multi-omic and clinical trial data to inform disease stratification, efficacy, safety, and adverse events.

Develop and apply advanced statistical and machine learning models, including AI-enabled analytical frameworks, with an emphasis on scalability, interpretability, and reproducibility in regulated environments.

Collaborate with cross-functional global teams to translate biological questions into analytical strategies and contribute to Amgen's precision medicine efforts through high-quality, production-ready modeling solutions.

Doctorate in Bioinformatics, Computational Biology, Statistics, Mathematics, Computer Science, Data Science, or related quantitative field with 1-2 years relevant experience OR Master’s degree with 5 years relevant experience.

6+ years of industry experience in applied computational biology, AI, or advanced analytics.

Proven expertise in Python and R, with experience in machine learning/deep learning libraries (e.g., PyTorch, TensorFlow, scikit-learn).

Experience working with clinical trial or biomarker data, demonstrating advanced statistical and multi-omic data integration skills.

Demonstrated depth in building statistical and AI frameworks with translational and clinical relevance, beyond routine model application.

Track record of end-to-end ownership of analytical projects that influenced drug development or scientific decisions.

Experience in large global biotech or pharmaceutical companies familiar with regulated environments and cross-functional collaboration.