Staff Machine Learning Scientist- AI Imaging

Natera, Inc.; United States; Remote; USD 163,000 - 204,000; Full time

Job summary

A leading genetics and diagnostics company is seeking a Staff Machine Learning Scientist to advance AI-driven image analysis in cancer diagnosis. This role involves designing deep learning models, integrating multi-modal data, and collaborating with interdisciplinary teams. Ideal candidates have a PhD and extensive experience in deep learning for medical imaging. This position offers a competitive compensation package, from $163,200 to $204,000, and is fully remote within the USA.

Benefits

Medical, dental, and vision insurance

401k

Fertility care

Employee referral program

Qualifications

• PhD in Computer Science, Biomedical Engineering, or related field.
• Extensive experience in deep learning for medical imaging, especially digital pathology.
• Strong knowledge of CNNs, ViTs, and modern architectures.

Responsibilities

• Design, implement, and evaluate deep learning models.
• Develop multi-modal architectures integrating slide data with genomic features.
• Contribute to production-quality machine learning pipelines.

Skills

Deep learning for medical imaging

Convolutional neural networks (CNNs)

Vision transformers (ViTs)

PyTorch

Cloud environments (AWS)

SQL

Education

PhD in Computer Science or related field

Job description

Overview

Staff Machine Learning Scientist- AI Imaging | US Remote

About the Role

We are seeking a highly motivated Staff 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 (H&E-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 H&E-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 R&D 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 (H&E).
• 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).

Compensation and About Us

The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including skill set, years & depth of experience, certifications and location. Remote USA

$163.20 - $204,000 USD

About Natera

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.

We offer a range of benefits and an equal opportunity workplace. See below for details and our commitment to diversity and inclusion.

What We Offer

Competitive benefits including medical, dental, vision, life and disability plans for eligible employees and their dependents. Additional benefits include fertility care, pregnancy and baby bonding leave, 401k, commuter benefits, and an employee referral program.

Natera is an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment. All qualified applicants 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.

Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from other domains are not from Natera or its employees and are fraudulent. We do not request interviews via text messages or ask for personal information until a candidate has engaged with the company and spoken to a recruiter.

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