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)
Collaborate across technical and clinical teams to translate machine learning prototypes into validated tools
Analyze model outputs to generate reproducible biological and clinical insights
Document pipelines thoroughly and communicate data-driven findings clearly to cross-functional stakeholders
Track record of peer-reviewed publications in machine learning or computational biology conferences and journals (e.g., NeurIPS, ICML, CVPR, MICCAI, Nature Biomedical Engineering)
Requirements
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.
You will build multimodal AI systems that integrate imaging, molecular, and clinical data, leveraging proprietary genomic and clinical datasets.
You will collaborate with scientists, pathologists, bioinformaticians, and software engineers to scale machine learning approaches that advance personalized oncology diagnostics and tumor-informed minimal residual disease (MRD) testing. PRIMARY RESPONSIBILITIES:
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
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 integrating imaging, molecular, and clinical data within unified multimodal machine learning frameworks
Technical familiarity with DNA sequencing, RNA sequencing, methylation, and ctDNA assays Hands-on
experience with digital pathology software and whole-slide imaging analysis
Experience applying self-supervised learning, weakly supervised learning, or multiple instance learning (MIL) to clinical data
Domain knowledge in oncology, biomarker discovery, or clinical precision medicine
Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health.
Benefits
Apply modern machine learning techniques including convolutional neural networks (CNNs), vision transformers (ViTs), sequence transformers, representation learning, and foundation model fine-tuning
The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location.
Remote USA $124,800 — $156,000 USD OUR OPPORTUNITY
Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.
benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents.
Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other
benefits include pregnancy and baby bonding leave, 401k benefits, commuter
Please be advised that Natera will reach out to candidates with a @ natera.com email domain ONLY.
Additional details
Experience adapting pre-trained foundation models for downstream biomedical applications PREFERRED
Exposure to survival modeling, longitudinal prediction, or time-to-event modeling •
This may differ in other locations due to cost of labor considerations.
The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other.
When you join Natera, you’ll work hard and grow quickly.
Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. WHAT WE OFFER Competitive Benefits - Employee
benefits and much more. We also offer a generous employee referral program!
Natera is proud to be an Equal Opportunity Employer.
We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives.
benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide.