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Natera

Makes genetic tests for clinical care

Lead Bioinformatics & Machine Learning Scientist - Epigenomics

Quantitative Biology & BiostatisticsConfirmed live in the last 24 hours
Full-timeSan Carlos, CA, USAIn-person

About the Job

Requirements

  • A PhD in Bioinformatics, Computer Science, Machine Learning, Statistics, or a related quantitative field, with 4 to 8+ years of post-PhD experience.
  • Hands-on experience in cancer genomics or epigenomics; experience with cell-free DNA or methylation sequencing data is a plus.
  • A strong foundation in quantitative reasoning, statistical analysis, and applied machine learning; experience with deep learning frameworks is a plus.
  • A proven track record of developing computational methods for high-throughput sequencing data analysis.
  • Strong programming skills, including hands-on experience with Python and its scientific library stack: pandas, NumPy, and scikit-learn.
  • Experience with Linux command-line tools, shell scripting, version control using Git, workflow managers such as Nextflow or Snakemake, and cloud or high-performance computing environments.
  • Ability to perform hypothesis-driven research, visualize findings, and summarize results orally and in writing.
  • Experience mentoring or technically leading other scientists.

Responsibilities

  • Drive technical workstreams within a collaborative team that takes methods from problem definition through delivery of final classifiers to downstream validation teams.
  • Design, implement, and validate novel machine learning and statistical methods to solve problems in cancer diagnostics.
  • Establish and promote best practices in model interpretability, uncertainty estimation, and reproducibility.
  • Design robust feature engineering and extraction pipelines tailored to cell-free DNA methylation and sequencing data.
  • Collaborate closely with molecular biologists on experimental design, ensuring data integrity and quality control.
  • Mentor other scientists and foster a culture of innovation, collaboration, and scientific excellence.
  • Lead and actively participate in code and design reviews.

Desired Qualifications

  • Experience with cell-free DNA or methylation sequencing data is a plus.
  • Experience with deep learning frameworks is a plus.

About the Company

Natera

Makes genetic tests for clinical care

Natera develops genetic tests for clinicians caring for people with cancer, inherited conditions, pregnancies, and organ transplants, using DNA analysis to inform medical decisions. Its portfolio includes Signatera for tracking residual cancer, Panorama for prenatal screening, and Prospera for assessing transplanted organ health. The company combines laboratory analysis with software that distinguishes DNA fragments in blood, and earns revenue mainly from diagnostic testing, alongside licensing and services for research partners. Clinicians use its portals to order tests, track samples, and review results, while patients have access to genetic information sessions. Natera was founded in 2004 and is headquartered in Austin, Texas.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Austin, TX
Founded
2004

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