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Natera

Makes genetic tests for clinical care

Lead Bioinformatics & Machine Learning Scientist

Quantitative Biology & BiostatisticsPosted on Nov 4
Full-timeRemote in USA$146k - $182kRemote

About the Job

Requirements

  • A PhD in Computer Science, Bioinformatics, Computational Biology, or a related quantitative field, with a strong emphasis on cancer epigenomics or genomics, is required.
  • Four to eight or more years of experience post-PhD is required.
  • A deep theoretical and practical understanding of high-throughput DNA sequence data analysis, including mapping, sequence alignment, and variant-calling workflows, is required.
  • Experience in algorithm development and data analysis, including applying and evaluating statistical methods, is required.
  • Demonstrated experience developing core machine learning models, including generalized linear models, kernel methods, tree-based algorithms, and neural networks, with a focus on biological data such as DNA sequencing data, is required.
  • Strong quantitative reasoning and data analysis skills, with the ability to apply them to relevant scientific problems, are required.
  • Experience with Python and Linux command-line tools, including writing shell scripts, is required.
  • Thorough experience with Python statistical packages, including NumPy, Matplotlib, and Pandas, is required.
  • Familiarity with public databases such as TCGA, COSMIC, or OncoKB is required.
  • The ability to visualize findings and summarize results orally and in writing for technical and non-technical audiences is required.
  • The ability to work collaboratively on a cross-functional team with computational and experimental scientists is required.

Responsibilities

  • Develop, train, and evaluate machine learning models, and drive algorithm design decisions that support cancer detection in the minimal residual disease setting.
  • Own end-to-end research analyses from ideation through implementation using scripts and notebooks, troubleshooting, and performance evaluation, including developing new features within existing pipelines.
  • Translate between wet-lab experimental design and computational analysis as assay requirements evolve, and maintain rigorous quality control across high-volume sequencing data spanning multiple cohorts, vendors, and clinical protocols.
  • Communicate findings and model performance to technical and cross-functional stakeholders.
  • Contribute to establishing standards for code quality and reproducibility.

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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