The opportunity
Natera is hiring a Machine Learning Scientist to join our AI and computational biology team. This role develops and deploys deep learning models across digital pathology, genomics, transcriptomics, and cell-free DNA (cfDNA) modalities.
What you'll do
Design, implement, and evaluate deep learning models across biomedical data: modalities, including histopathology imaging, genomic sequencing, transcriptomics, and cfDNA features
Develop multimodal AI architectures that integrate H&E whole-slide imaging: data with molecular and clinical data sources
Build scalable, production-quality machine learning workflows and pipelines using cloud infrastructure (AWS)
Apply modern machine learning techniques including convolutional neural: networks (CNNs), vision transformers (ViTs), sequence transformers, representation learning, and foundation model fine-tuning
Collaborate across technical and clinical teams to translate machine learning prototypes into validated tools
Analyze model outputs to generate reproducible biological and clinical insights
What they're looking for
- Document pipelines thoroughly and communicate data-driven findings clearly to cross-functional stakeholders
- PhD in Computer Science, Computational Biology, Biomedical Engineering,: Bioinformatics, Statistics, or a related quantitative discipline with a focus on machine learning or AI
- Core experience developing machine learning models for biomedical: applications, specifically in medical imaging, computational pathology, genomics, transcriptomics, multi-omics, or molecular diagnostics
- Hands-on expertise with PyTorch and strong production-level programming skills in Python
