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.

Where some set out to build a test, we set out to achieve a mission: change the management of disease worldwide by using DNA testing to proactively inform treatment.

Through a cfDNA technology platform approach, we've pioneered noninvasive testing in unlimited applications—each with their own potential to revolutionize care for patients.

#TeamNatera includes clinicians, scientists, biostatisticians, researchers, and laboratory professionals from around the world. Our diverse teams blend a passion for patients with deep clinical, scientific, and technological roots. Natera’s tests are validated by more than 100 peer-reviewed publications that demonstrate high accuracy.

Natera operates ISO 13485-certified and CAP-accredited laboratories certified under the Clinical Laboratory Improvement Amendments (CLIA) in Austin, Texas and San Carlos, California.

Natera

We are a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health.

Position Summary

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

Design, implement, and evaluate deep learning models across biomedical data modalities, including histopathology imaging, genomic sequencing, transcriptomics, and cfDNA featuresDevelop multimodal AI architectures that integrate H&E whole-slide imaging data with molecular and clinical data sourcesBuild 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-tuningCollaborate across technical and clinical teams to translate machine learning prototypes into validated toolsAnalyze model outputs to generate reproducible biological and clinical insightsDocument pipelines thoroughly and communicate data-driven findings clearly to cross-functional stakeholders

Qualifications

PhD in Computer Science, Computational Biology, Biomedical Engineering, Bioinformatics, Statistics, or a related quantitative discipline with a focus on machine learning or AICore experience developing machine learning models for biomedical applications, specifically in medical imaging, computational pathology, genomics, transcriptomics, multi-omics, or molecular diagnosticsHands-on expertise with PyTorch and strong production-level programming skills in PythonPractical application of deep learning architectures such as CNNs, transformers, attention mechanisms, and representation learningExperience 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 workflowsExperience adapting pre-trained foundation models for downstream biomedical applications

Preferred Qualifications

Experience integrating imaging, molecular, and clinical data within unified multimodal machine learning frameworksTechnical familiarity with DNA sequencing, RNA sequencing, methylation, and ctDNA assaysHands-on experience with digital pathology software and whole-slide imaging analysisExposure to survival modeling, longitudinal prediction, or time-to-event modelingExperience applying self-supervised learning, weakly supervised learning, or multiple instance learning (MIL) to clinical dataDomain knowledge in oncology, biomarker discovery, or clinical precision medicineTrack record of peer-reviewed publications in machine learning or computational biology conferences and journals (e.g., NeurIPS, ICML, CVPR, MICCAI, Nature Biomedical Engineering)

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. This may differ in other locations due to cost of labor considerations.

Remote USA

$124,800—$171,600 USD

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

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Machine Learning Scientist, Multimodal AI

What the job involves