Senior/Lead Bioinformatics Scientist (Multi-Cancer Early Detection)

Natera · US Remote · Other

Posted 2026-10-10

Apply for this role →

Natera’s Research team is building tests that can detect many cancers from a single blood draw. We are looking for a Senior or Lead Bioinformatics Scientist to join the team building the technology at the heart of that effort. You will work with large-scale, multi-modal genomic datasets from clinical cohorts and partner closely with molecular biologists and clinical scientists. You will help advance the state-of-the-art and drive new methods from prototype, through scalable implementation, toward clinical validation and, ultimately, to patients.

PRIMARY RESPONSIBILITIES:

Develop and validate new algorithms to analyze large multimodal epigenomic datasets

Drive research analyses through implementation, testing and performance evaluation, including developing new features within existing pipelines

Work with sequencing and clinical data from large cohorts, ensuring data integrity and quality control

Partner with molecular biologists and clinical scientists to solve challenging, open-ended problems

Visualize results and present complex findings to both technical and non-technical audiences

Contribute to the team’s standards for code quality and reproducibility

QUALIFICATIONS:

Ph.D. in Bioinformatics, Computer Science, Biology, or a related field; alternatively a Bachelor’s or Master’s degree with at least 4 years of professional experience

Track record developing and validating analysis workflows for high-throughput sequencing data

Experience applying and evaluating statistical and ML methods to large datasets

Strong quantitative reasoning and data analysis skills, applied effectively to real scientific problems.

Software development experience, including proficiency in Python and its scientific computing ecosystem

Fluent using Linux command-line tools and cloud computing environments

Strong verbal and written communication skills

Preferred Experience

Working knowledge of DNA methylation and other epigenomic data

Experience with cell-free DNA and liquid biopsy samples

Background in cancer genomics or diagnostics

Experience working with data and metadata from large clinical cohorts

Familiarity using AI tools for complex scientific tasks and with foundation models applied to biological data

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

$119,000—$163,000 USD

Apply for this role →

← Back to all jobs