Senior Data Scientist
Core
Develop predictive ML models and protein foundation models to guide the design and optimization of engineered biologics.
Role type
Senior Data Scientist (Computational Biology/ML)
Builds
Predictive models for biologics properties, foundation models for sequence/structure-to-property prediction, active-learning strategies (via careerplan.io/jobs/R-248178-senior-data-scientist-at-amgen)
Domain
Biopharma, Large Molecule Discovery, Computational Biology, Machine Learning
Deliverable
production ML models
Required skills
machine learning, predictive modeling, Python, deep learning, data integration, active learning, Bayesian optimization, uncertainty quantification
Preferred skills
protein engineering, drug discovery, immunology, foundation models, representation learning, multimodal learning, high-performance computing, reproducible ML workflows
Technologies
PyTorch, numpy, scipy, pandas, AWS, git, Docker
Responsibilities
Develop predictive models for developability and immunogenicity; Train and fine-tune protein foundation models; Integrate multimodal biological data; Design active learning strategies to prioritize experiments; Build reproducible modeling workflows and evaluation frameworks
Seniority
Senior, hands-on IC
