Senior Director, AI Diagnostics

Natera
Natera logo
Location
Remote
Job Type
Full-time
Posted
November 11, 2026
Salary Range
$259k - $324k USD

Job Description

Natera is hiring a Senior Director to lead the research, development and clinical translation of AI and computational algorithms for oncology diagnostics, from research prioritization through validation, deployment, and ongoing performance monitoring. Natera’s longitudinal oncology data resources span tumor genomics, ctDNA, transcriptomics, pathology images, and clinical outcomes, creating opportunities to develop and validate models across molecular, imaging, and clinical data. This role turns that data into multimodal AI products that change how oncologists treat patients.

We are looking for a scientific leader with a compelling vision for how foundation models can advance oncology diagnostics. You will shape our foundation model strategy - identifying the highest-value opportunities in longitudinal molecular, imaging, and clinical data, defining the capabilities we need to build, and guiding their translation into clinically useful products. This requires both the imagination to pursue new possibilities and the judgment to establish where these approaches deliver meaningful advantages.  You will lead an established algorithm team, develop its technical and leadership capabilities, and recruit talent aligned with the product roadmap. With Product and other partners, you will set strategy and decide which opportunities move toward clinical deployment.

Key Responsibilities:

Build and lead the team:Grow the existing algorithm research team, hire key talent, and set a high bar for scientific rigor and execution.

Own the path from research to launch:Establish development milestones and evidence-based go/no-go criteria from feasibility through validation and launch, with clear ownership, reproducible analyses, and documented decisions.

Set strategy with Product:Partner with Product, Clinical, and Commercial leaders to prioritize clinical use cases, define intended use and success criteria, and make investment, continuation, and stop decisions based on evidence, feasibility, and clinical and business value.

Push the technical frontier:Bring in foundation models and multimodal deep learning, and turn our data into products that set us apart from competitors.

Deliver with quality:Make sure every algorithm is built on clean data, validated rigorously, and monitored after launch, so it holds up for clinicians, patients, and regulators.

Qualifications:

  • Ph.D. in Bioinformatics, Computational Biology, Machine Learning, Biostatistics, or a related quantitative field. A Master’s degree with substantial additional experience will be considered.
  • Substantial experience developing computational products, including sustained leadership of multidisciplinary teams and ownership of complex development programs through clinical deployment. Demonstrated scope and impact equivalent to a Senior Director are more important than prior title.
  • Demonstrated ability to define and advance a foundation model research strategy, grounded in a deep understanding of representation learning, pretraining, adaptation, and evaluation. Able to articulate an original, clinically grounded vision, translate it into a research roadmap, and guide teams through consequential scientific and technical decisions.
  • Demonstrated accountability for taking at least one AI/ML or computational algorithm from research through validation and clinical deployment within a diagnostic product. Candidates should be able to explain their decisions, validation responsibilities, cross-functional role, and post-launch results.
  • Strong understanding of analytical and clinical validation for regulated diagnostics, including what regulators expect from AI-based products.
  • Depth in at least one oncology data modality, such as NGS, liquid biopsy, transcriptomics, or whole-slide imaging, and sufficient breadth to lead across modalities. Able to challenge model design, data assumptions, evaluation methods, and Python-based analyses through technical reviews; routine coding is not a core responsibility.
  • Demonstrated experience managing people managers and developing technical leaders, building development processes that teams adopt, and influencing senior stakeholders across R&D, Quality, Regulatory, Clinical, and Commercial without direct authority.
  • Experience overseeing algorithm deployment and lifecycle management, including reproducible implementation, model and data versioning, release controls, and post-launch performance monitoring, in partnership with Engineering and Quality.

Preferred Qualifications:

Natera is hiring a Senior Director to lead the research, development and clinical translation of AI and computational algorithms for oncology diagnostics, from research prioritization through validation, deployment, and ongoing performance monitoring. Natera’s longitudinal oncology data resources span tumor genomics, ctDNA, transcriptomics, pathology images, and clinical outcomes, creating opportunities to develop and validate models across molecular, imaging, and clinical data. This role turns that data into multimodal AI products that change how oncologists treat patients.

We are looking for a scientific leader with a compelling vision for how foundation models can advance oncology diagnostics. You will shape our foundation model strategy - identifying the highest-value opportunities in longitudinal molecular, imaging, and clinical data, defining the capabilities we need to build, and guiding their translation into clinically useful products. This requires both the imagination to pursue new possibilities and the judgment to establish where these approaches deliver meaningful advantages.  You will lead an established algorithm team, develop its technical and leadership capabilities, and recruit talent aligned with the product roadmap. With Product and other partners, you will set strategy and decide which opportunities move toward clinical deployment.

Key Responsibilities:

Build and lead the team:Grow the existing algorithm research team, hire key talent, and set a high bar for scientific rigor and execution.

Own the path from research to launch:Establish development milestones and evidence-based go/no-go criteria from feasibility through validation and launch, with clear ownership, reproducible analyses, and documented decisions.

Set strategy with Product:Partner with Product, Clinical, and Commercial leaders to prioritize clinical use cases, define intended use and success criteria, and make investment, continuation, and stop decisions based on evidence, feasibility, and clinical and business value.

Push the technical frontier:Bring in foundation models and multimodal deep learning, and turn our data into products that set us apart from competitors.

Deliver with quality:Make sure every algorithm is built on clean data, validated rigorously, and monitored after launch, so it holds up for clinicians, patients, and regulators.

Qualifications:

  • Ph.D. in Bioinformatics, Computational Biology, Machine Learning, Biostatistics, or a related quantitative field. A Master’s degree with substantial additional experience will be considered.
  • Substantial experience developing computational products, including sustained leadership of multidisciplinary teams and ownership of complex development programs through clinical deployment. Demonstrated scope and impact equivalent to a Senior Director are more important than prior title.
  • Demonstrated ability to define and advance a foundation model research strategy, grounded in a deep understanding of representation learning, pretraining, adaptation, and evaluation. Able to articulate an original, clinically grounded vision, translate it into a research roadmap, and guide teams through consequential scientific and technical decisions.
  • Demonstrated accountability for taking at least one AI/ML or computational algorithm from research through validation and clinical deployment within a diagnostic product. Candidates should be able to explain their decisions, validation responsibilities, cross-functional role, and post-launch results.
  • Strong understanding of analytical and clinical validation for regulated diagnostics, including what regulators expect from AI-based products.
  • Depth in at least one oncology data modality, such as NGS, liquid biopsy, transcriptomics, or whole-slide imaging, and sufficient breadth to lead across modalities. Able to challenge model design, data assumptions, evaluation methods, and Python-based analyses through technical reviews; routine coding is not a core responsibility.
  • Demonstrated experience managing people managers and developing technical leaders, building development processes that teams adopt, and influencing senior stakeholders across R&D, Quality, Regulatory, Clinical, and Commercial without direct authority.
  • Experience overseeing algorithm deployment and lifecycle management, including reproducible implementation, model and data versioning, release controls, and post-launch performance monitoring, in partnership with Engineering and Quality.

Preferred Qualifications:

  • Multimodal experience:Experience building models that combine two or more data types, such as genomics, imaging, and clinical data.
  • Scientific and technical contribution:Evidence of contribution through deployed products, patents, publications, or substantive collaborations.
  • External partnerships:Experience evaluating or co-developing algorithms with academic groups, pharma, or tech partners.
  • AI infrastructure:Experience building or leading the adoption of MLOps, model registries, or large-scale training environments.
  • Real-world data:Experience working with claims, EHR, or registry data linked to outcomes.

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

$259,400—$324,200 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, visitwww.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.comemail 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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Frequently Asked Questions

Where is this job located, and is it remote?
The role is listed as Remote. The pay range is given for Remote USA, and the posting notes that compensation may differ by location due to cost of labor considerations.
What qualifications and experience are required?
A Ph.D. in Bioinformatics, Computational Biology, Machine Learning, Biostatistics, or a related field, or a Master's with substantial additional experience. You also need substantial experience leading multidisciplinary teams, a record of taking at least one AI/ML algorithm through clinical deployment in a diagnostic product, foundation model strategy expertise, and knowledge of regulated diagnostic validation.
What are the main responsibilities of this role?
You will grow and lead the existing algorithm research team, own milestones and go/no-go criteria from feasibility through launch, and set strategy with Product, Clinical, and Commercial leaders. You will also bring in foundation models and multimodal deep learning, and ensure algorithms are rigorously validated and monitored after launch.
What is the salary range?
For Remote USA, the pay range is $259,400 to $324,200 USD. Actual compensation depends on factors such as skill set, years and depth of experience, certifications, and location.
What benefits does Natera offer?
Benefits include medical, dental, vision, life, and disability plans for eligible employees and their dependents. Employees and their immediate families receive free testing and fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits, and an employee referral program.
Who will I lead or work with in this role?
You will lead an established algorithm team, including managing people managers and developing technical leaders. You will partner with Product, Clinical, and Commercial leaders, and collaborate with Engineering and Quality on deployment. You will also need to influence stakeholders across R&D, Quality, Regulatory, Clinical, and Commercial.
Will this role involve hands-on coding?
Routine coding is not a core responsibility. You are expected to challenge model design, data assumptions, evaluation methods, and Python-based analyses through technical reviews.

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Job Information

Source: greenhouse
AI Relevance: 90/100 (Highly relevant)
Remote Type: remote
Skills & Tags:
Molecular Biology Informatics & Statistics

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