Remote Multimodal AI Scientist — Imaging & Genomics

Devconnectplatform; United States; Remote; USD 125,000 - 172,000; Full time

Benefits offered by this job

Medical insurance

Dental plan

Vision plan

401k benefits

Commuter benefits

Fertility care benefits

Employee referral program

Job summary

Natera is hiring a Machine Learning Scientist to join our AI and computational biology team. You will design multimodal AI systems that integrate imaging, genomic, and clinical data to advance oncology diagnostics and MRD testing.

The role emphasizes production-ready pipelines, collaboration with pathologists, bioinformaticians, and software engineers. The ideal candidate has a PhD and hands-on PyTorch/Python experience, with a track record in biomedical ML and data integration across

Qualifications

• PhD in a quantitative field with a focus on machine learning or AI.
• Experience developing ML models for biomedical applications (imaging/genomics/transcriptomics).
• Hands-on PyTorch and production-grade Python programming skills.

Responsibilities

• Design, implement, and evaluate deep learning models across biomedical modalities.
• Develop multimodal architectures integrating imaging, molecular, and clinical data.
• Build scalable ML workflows and pipelines in cloud environments (AWS).
• Collaborate with scientists and engineers to translate prototypes into tools.

Skills

Deep learning

Multimodal ML

Python

Data integration

Education

PhD in Computer Science / Computational Biology / Biomedical Engineering / Bioinformatics / Statistics

Tools

PyTorch

Python

AWS

Job description

Natera is hiring a Machine Learning Scientist to join our AI and computational biology team. You will design multimodal AI systems that integrate imaging, genomic, and clinical data to advance oncology diagnostics and MRD testing.

The role emphasizes production-ready pipelines, collaboration with pathologists, bioinformaticians, and software engineers. The ideal candidate has a PhD and hands-on PyTorch/Python experience, with a track record in biomedical ML and data integration across