Staff Machine Learning Scientist, Translational AI
Core
Provide technical leadership at the intersection of deep learning foundation models, computational biology, and molecular diagnostics to accelerate patient stratification and therapeutic monitoring.
Role type
Staff Machine Learning Scientist (Translational AI)
Builds
Genomic, transcriptomic, and multimodal sequence models for cell-free DNA and multi-omic platforms
Domain
Healthcare / Oncology / Computational Biology
Deliverable
production ML models
Required skills
Deep learning frameworks, transformer architectures, representation learning, self-supervised learning, PyTorch, distributed GPU computing, model validation, clinical trial data analysis
Preferred skills
Multimodal foundation models, digital pathology integration, real-world data (RWD/RWE) modeling, high-impact ML publications
Technologies
PyTorch, HuggingFace, PEFT, Captum, MLflow
Responsibilities
Serve as principal technical authority on deploying molecular and genomic foundation models; Engineer alignment workflows grounding pre-trained models in clinical data; Lead post-training and fine-tuning of deep sequence models; Build and optimize ML models using NGS and digital pathology data; Design clinical investigation frameworks connecting metrics to translational utility; Author technical manuscripts for peer-reviewed venues.
Seniority
Staff, hands-on IC with broad technical autonomy