Senior Staff Bioinformatics Scientist

Team: Oncology R&D – Computational Biology / Data Science

Location: (Hybrid, US, Preferred)

Role: 

Own the design and deployment of advanced predictive models for oncology applications using sequencing data from epigenomic and genomic assays. You’ll develop, validate, and ship models that power high-resolution characterization of patient cancers using multimodal data (liquid biopsy, tissue and real-world outcomes) to provide actionable insights for patient treatment and disease monitoring.

What you’ll do:

• Modeling & research.
• Build production-grade predictive models for oncology applications (e.g. therapy response, MRD, tumor characterization).
• Develop advanced models (including deep learning-based architectures) for high dimensional and multimodal data leveraging extensive internal datasets.
• Advance self-supervised/foundation representations for genomic, DNA methylation, fragmentomics, and tissue imaging data.
• Design and execute validation plans; define performance targets and communicate results across functions to drive deployment of advanced models into production.
• Collaborate with external scientific leaders, medical affairs, laboratory directors, external collaborators to drive publications and conference presentations.

Data & engineering:

• Shape feature stores and reproducible pipelines from raw assay outputs to model-ready tensors
• Ship models via MLOps best practices (containerization, CI/CD, experiment tracking, monitoring, model cards).
• Work closely with technology development, software, product, medical, and regulatory teams to turn models into patient-impacting products.
• Author clear technical docs and present results to scientific and executive audiences.

• PhD (CS/EE/Bioinformatics/Statistics/Applied Math or related) or MS with equivalent experience.
• Strong ML/AI depth with hands-on work experience with deep learning (PyTorch)
• Proficiency in Python and scientific stack (sklearn); solid software engineering skills (tests, code review, version control).
• Experience with large-scale data, distributed compute, containerization (Docker) and cloud (AWS/GCP/Azure).
• Domain expertise in analysis of genomic data: cfDNA (SNVs/indels/CNAs), methylation/epigenomics, fragmentomics, RNA-seq
• Track record of publications, patents and conference presentations

Hybrid Work Model: At Guardant Health, we have defined days for in-person/onsite collaboration and work-from-home days for individual-focused time. All U.S. employees who live within 50 miles of a Guardant facility will be required to be onsite on Mondays, Tuesdays, and Thursdays. We have found aligning our scheduled in-office days allows our teams to do the best work and creates the focused thinking time our innovative work requires. At Guardant, our work model has created flexibility for better work-life balance while keeping teams connected to advance our science for our patients.

The US base salary range for this full-time position is $163,200 to $224,400. The range does not include benefits, and if applicable, bonus, commission, or equity. The range displayed reflects the minimum and maximum target for new hire salaries across all US locations for the posted role with the exception of any locations specifically referenced below (if any).

For positions based in Palo Alto, CA or Redwood City, CA, the base salary range for this full-time position is $192,000 to $264,000. The range does not include benefits, and if applicable, bonus, commission, or equity.

Within the range, individual pay is determined by work location and additional factors, including, but not limited to, job-related skills, experience, and relevant education or training. If you are selected to move forward, the recruiting team will provide details specific to the factors above.

Employee may be required to lift routine office supplies and use office equipment. Majority of the work is performed in a desk/office environment; however, there may be exposure to high noise levels, fumes, and biohazard material in the laboratory environment. Ability to sit for extended periods of time.

Guardant Health is committed to providing reasonable accommodations in our hiring processes for candidates with disabilities, long-term conditions, mental health conditions, or sincerely held religious beliefs. If you need support, please reach out to [email protected]

A background screening including criminal history is required for this role. GH will consider qualified applicants with criminal arrest or conviction histories in a manner consistent with applicable law including but not limited to the LA County Fair Chance Policies and the Fair Chance Act (Gov. Code Section 12952).

Guardant Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

All your information will be kept confidential according to EEO guidelines.

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Please visit our career page at: http://www.guardanthealth.com/jobs/