Full-Time Staff Bioinformatics Scientist

The position is in the bioinformatics group and will work on the development of computational models for both the screening products (Shield™) and the oncology products (e.g., Guardant360®).

Responsibilities include:

1. Develop, prototype, and analyze performance of novel statistical/machine learning models to improve early cancer detection, minimal residual disease detection, longitudinal monitoring of treatment response, and cancer-signal-origin prediction.
2. Work closely with other teams to develop new technologies through hands-on work and providing ideas to team members.
3. Identify relevant external genomic, epigenomic, and proteomic data sources and integrate with internal data to improve product performance and suggest new product features.
4. Participate in brainstorming sessions, maintain a highly productive and motivating work environment.
5. Work cross-functionally with other teams to provide insight and feedback on projects.
6. Provide written documentation and specifications for transparency and reproducibility.

Preferred location: Palo Alto or San Diego

Required Qualifications:

• Ph.D. in computational biology/bioinformatics, genomics, machine learning, or related field and a minimum of 8+ years related experience.
• Experienced with statistical models for genomic/epigenomic data.
• Proficiency with a high-level scripting language (Python/R; Python preferred).
• Experienced in visualization of complex experiments to derive biological insights.
• Proficiency creating interactive tools and dashboards (streamlit, CLI tools, etc.).
• Proficiency creating and maintaining large data lakes and automated processing of constantly incoming data.

Preferred Qualifications:

• Cancer biology and/or epigenetics background
• Experience in analyzing public genomic/epigenomic datasets (e.g. TCGA, ENCODE)
• Proficiency with Linux command-line and version control tools (git and GitHub)
• Ability to build reproducible and well-written code (or packages) for data analysis.
• Familiar with high-performance computing infrastructures (e.g., SGE, AWS, Spark)

Salary Range: $174,700 - $240,250 (Palo Alto/Redwood City, CA)

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