Machine Learning Scientist, Multimodal AI
Core
Develop and deploy deep learning models integrating imaging, genomic, transcriptomic, and clinical data to advance personalized oncology diagnostics and tumor-informed MRD testing.
Role type
Senior IC machine learning scientist (multimodal biomedical AI)
Builds
Production multimodal AI systems for digital pathology and molecular diagnostics
Domain
Biomedical AI, oncology diagnostics, genomics, digital pathology
Deliverable
production ML models
Required skills
Deep learning (CNNs, ViTs, transformers), PyTorch, Python, cloud infrastructure (AWS), foundation model fine-tuning, representation learning
Preferred skills
Multimodal data integration, DNA/RNA sequencing, digital pathology software, survival modeling, self-supervised learning, oncology domain knowledge
Technologies
PyTorch, Python, AWS, CNNs, ViTs, transformers
Responsibilities
Design and evaluate deep learning models across biomedical modalities; Develop multimodal AI architectures integrating H&E imaging with molecular data; Build scalable ML workflows and pipelines; Collaborate with clinical teams to translate prototypes into validated tools; Analyze model outputs for biological insights; Document pipelines and communicate findings
Seniority
Senior, hands-on IC
