Lead Bioinformatician — cfDNA Algorithms & Pipelines

Natera

San Carlos (CA)

On-site

USD 144,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Annual incentive bonus
Long-term equity awards
401(k) with match
Generous paid time off
Wellness and work-life benefits

Job summary

Natera is seeking a Lead Bioinformatician to advance algorithmic foundations for cfDNA diagnostics. This individual contributor role focuses on developing scalable, clinically impactful computational tools for detecting variants in low-fraction samples.

You will shape analytic strategy, prototype and benchmark methods, and collaborate with Product, Laboratory Directors, and Research to deploy robust solutions in production.

Qualifications

  • Degree in Bioinformatics, Computational Biology, Bioinformatics, Human Genetics, or related field; no MS/PhD required if depth is demonstrated.
  • 4+ years analyzing short-read sequencing data for screening or diagnostic use in regulated environments.
  • Experience contributing to bioinformatics workflows behind a sequencing assay or panel.
  • Ability to resolve complex investigations across biological, analytical, and systems levels.

Responsibilities

  • Panel and Assay Science: advise on genes for the panel roadmap and analytical edge cases.
  • Caller Strategy and Method Development: define and benchmark new callers and productionize methods.
  • Scientific Investigation and Escalation: distinguish biological vs analytical causes in escalations.
  • Data Quality and Cross-functional Partnership: liaise with VMR and Lab Ops on data quality and variant representation.
  • Ways of Working: define acceptable AI-assisted conclusions with appropriate human sign-off.

Skills

Python programming
Algorithm development
Genomics analysis
Cross-functional communication
Data interpretation

Education

Degree in Bioinformatics or related field

Tools

Python (pandas/numpy)

Job description

Natera is seeking a Lead Bioinformatician to advance algorithmic foundations for cfDNA diagnostics. This individual contributor role focuses on developing scalable, clinically impactful computational tools for detecting variants in low-fraction samples.

You will shape analytic strategy, prototype and benchmark methods, and collaborate with Product, Laboratory Directors, and Research to deploy robust solutions in production.

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