Natera

Director of Data Science and Bioinformatics

Natera$195K — $244K *
Pharmaceuticals & Biotech
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Master of Science or Ph.D. in a quantitative field.
  • 10+ years in Data Science or Bioinformatics with 5+ years in people management.
  • Experience in AWS infrastructure for bioinformatics.
  • Ability to independently identify and address capability gaps.
  • Strong communication and cross-functional collaboration skills.
  • Proven track record of developing bioinformatics talent.

Responsibilities

  • Build and define the Bioinformatics function within the Data Science team.
  • Establish and enforce quality standards for algorithms and pipelines.
  • Own and architect scalable AWS-based infrastructure for NGS algorithms.
  • Implement MLOps tooling for reliable algorithm deployment.
  • Collaborate with cross-functional teams to ensure product success.
  • Lead, mentor, and hire a high-performing team in bioinformatics.
  • Build technical expertise to support product roadmaps in Women's and Organ Health.

Benefits

  • Annual performance incentive bonus
  • Long-term equity awards
  • Comprehensive health benefits (medical, dental, vision)
  • 401(k) with company match
  • Generous paid time off and company holidays
  • Additional wellness and work-life benefits
Full Job Description
This is an exciting opportunity to lead and grow the Data Science and Bioinformatics function supporting Natera's Women's Health and Organ Health product portfolios. In this role, you will build the bioinformatics capability within the Data Science development team, establish scalable AWS cloud infrastructure, and ensure the quality and reproducibility of the genomic algorithms powering our clinical products.

PRIMARY RESPONSIBILITIES:

Strategy and Vision
  • Build and define the Bioinformatics function within the Data Science development team, identify technical tooling gaps, and execute a roadmap to advance genomics-based algorithm development.
  • Establish and enforce pipeline and algorithm quality standards, including review processes, validation frameworks, and documentation practices

Infrastructure and Automation
  • Own and architect scalable AWS-based data science and bioinformatics infrastructure, ensuring quality, reproducibility, and reliable deployment of Next-Generation Sequencing (NGS) algorithms.
  • Implement MLOps tooling and automated validation frameworks to support reliable algorithm deployment into clinical production.

Cross-Functional Collaboration
  • Partner with Research, Product Development, Laboratory Operations, Engineering, and Quality teams to implement stable, scalable pipelines and support successful productization

Team Leadership
  • Lead, mentor and hire a high-performing team of bioinformaticians and data scientists, establishing technical quality standards and clear operational ownership.
  • Build technical depth within the team to support expanding product roadmaps across Women's Health and Organ Health.

QUALIFICATIONS:
  • Master of Science or Ph.D. in a quantitative technical discipline (Biostatistics, Bioinformatics, Computer Science, Physics, Applied Mathematics, or equivalent).
  • Minimum of 10 years of experience in Data Science or Bioinformatics, with at least 5 years of direct people management experience leading technical teams.
  • Hands-on experience architecting AWS cloud infrastructure for data-intensive bioinformatics workloads and NGS pipeline execution.
  • Demonstrated ability to identify capability gaps independently, build scalable infrastructure, and drive execution without waiting for formal structure.
  • Strong communicator who builds cross-functional alignment across Research, Engineering, and Quality teams through technical clarity, direct engagement, and data-driven reasoning.
  • Track record of developing bioinformatics talent and delivering computational pipelines that support commercial product development.

PREFERRED QUALIFICATIONS:
  • Experience developing software and pipelines within regulated environments (CLIA, FDA, or ISO framework).
  • Experience with MLOps frameworks and pipeline tools (MLflow, Nextflow, WDL, Docker).
  • Advanced knowledge of statistical inference, machine learning, and genomic data processing.


Compensation & Total Rewards

This range reflects a good-faith estimate of the base pay we reasonably expect to offer at the time of hire. Final compensation will vary based on experience, qualifications, and internal equity considerations.

This position is also eligible for additional compensation and benefits through Natera's robust Total Rewards program, including:
  • Annual performance incentive bonus
  • Long-term equity awards
  • Comprehensive health benefits (medical, dental, vision)
  • 401(k) with company match
  • Generous paid time off and company holidays
  • Additional wellness and work-life benefits


Compensation Range

$195,600-$244,450 USD

About Natera

Natera is a biotechnology company that focuses on genetic testing and diagnostics. The company's products are designed to help diagnose and treat genetic diseases, cancer, and other conditions. Natera's pipeline includes products for reproductive health, oncology, and organ transplantation. The company was founded in 2003 and is headquartered in San Carlos, California.
Learn more about Natera
Size
2,670 employees
Market Cap
$4.5 billion
Industry
Net Income
-$229.7 million
Founded
2004
5 Year Trend
+24.1%
Revenue
$391 million
NASDAQ

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