United States onlyAbout the Role
We are seeking a highly motivated Machine Learning Scientist with deep expertise in AI-driven image analysis to join our interdisciplinary team advancing precision therapeutics and diagnostics. You will lead the development and deployment of machine learning models that integrate histopathology imaging data (HE-stained slides) with multi-modal biomarkers, driving clinical and scientific insights across large-scale cancer datasets.
You’ll work closely with scientists, pathologists, and engineers to innovate and apply deep learning approaches—including convolutional neural networks (CNNs) and vision transformers (ViTs)—to predict clinical outcomes, recurrence risk, and biological phenotypes from digital pathology images.
Responsibilities
Design, implement, and evaluate deep learning models trained on high-resolution histopathology images.
Develop multi-modal architectures that integrate HE-stained slide data with genomic, transcriptomic, and ctDNA-based features.
Contribute to the development of production-quality machine learning pipelines using AWS cloud infrastructure.
Build scalable training workflows to handle tens of thousands of whole-slide images with automated pre-processing, tiling, and data augmentation.
Collaborate with cross-functional teams including computational biologists, bioinformaticians, and clinical RD teams.
Communicate results through well-documented code, internal presentations, and peer-reviewed publications.
Required Qualifications
PhD in Computer Science, Biomedical Engineering, Computational Biology, or a related field with a focus on machine learning or image analysis.
Extensive experience in deep learning for medical imaging, especially digital pathology (HE).
Strong knowledge of CNNs, ViTs, attention mechanisms, and modern architectures for image understanding.
Hands-on proficiency with PyTorch, Python, and SQL.
Experience working with large datasets in cloud environments (preferably AWS).
Demonstrated ability to independently drive ML research and translate it into production code.
Experience using pre-trained foundation models for downstream finetuning.
Preferred Qualifications
Experience with survival modeling, CoxPH loss, or time-to-event architectures.
Exposure to self-supervised learning or weakly supervised MIL in whole-slide imaging.
Familiarity with clinical oncology or biomarker discovery in cancer.
Publications in top-tier conferences (e.g., MICCAI, CVPR, NeurIPS, ICML, ISBI) or journals (e.g., Nature Biomedical Engineering)
OUR OPPORTUNITY
Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. 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.
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 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 benefits and much more. We also offer a generous employee referral program!
For more information, visit www.natera.com.
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. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide.
All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws.
If you are based in California, we encourage you to read this important information for California residents.
Link: https://www.natera.com/notice-of-data-collection-california-residents/
Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes.
For more information:
- BBB announcement on job scams
- FBI Cyber Crime resource page
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