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Natera

Machine Learning Scientist, Multimodal AI

Natera

Machine Learning Scientist developing deep learning models integrating various data types at Natera. Collaborating with diverse teams to advance personalized oncology diagnostics and MRD testing.

Posted 5/28/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $124,800 - $156,000 per yearWebsite

Tech Stack

Tools & technologies
AWSCloudPythonPyTorch

About the role

Key responsibilities & impact
  • Design, implement, and evaluate deep learning models across biomedical data modalities
  • Develop multimodal AI architectures integrating H&E whole-slide imaging data with molecular and clinical data sources
  • Build scalable, production-quality ML workflows and pipelines using cloud infrastructure (AWS)
  • Apply modern ML techniques including CNNs, vision transformers (ViTs), sequence transformers, representation learning, and foundation model fine-tuning
  • Collaborate with technical and clinical teams to translate ML prototypes into validated tools
  • Analyze model outputs to generate reproducible biological and clinical insights
  • Document pipelines thoroughly and communicate data-driven findings to stakeholders

Requirements

What you’ll need
  • PhD in Computer Science, Computational Biology, Biomedical Engineering, Bioinformatics, Statistics or related quantitative discipline focusing on ML or AI
  • Core experience developing ML 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
  • Practical application of deep learning architectures such as CNNs, transformers, attention mechanisms, and representation learning
  • Experience managing datasets and training workflows within distributed or cloud computing environments (AWS)
  • Proven ability to take ownership of research projects and translate prototypes into robust, deployment-ready workflows
  • Experience adapting pre-trained foundation models for downstream biomedical applications

Benefits

Comp & perks
  • Comprehensive medical, dental, vision, life and disability plans
  • Free testing for employees and their immediate families
  • Fertility care benefits
  • Pregnancy and baby bonding leave
  • 401k benefits
  • Commuter benefits
  • Generous employee referral program

ATS Keywords

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Hard Skills & Tools
deep learningmachine learningmultimodal AI architecturesCNNsvision transformerssequence transformersrepresentation learningfoundation model fine-tuningPythonPyTorch
Soft Skills
collaborationcommunicationownershipdocumentation
Certifications
PhD in Computer SciencePhD in Computational BiologyPhD in Biomedical EngineeringPhD in BioinformaticsPhD in Statistics