Bioinformatics Intern, Machine Learning

Company Description

Guardant Health is a leading precision oncology company focused on helping conquer cancer globally through use of its proprietary tests, vast data sets and advanced analytics. The Guardant Health oncology platform leverages capabilities to drive commercial adoption, improve patient clinical outcomes and lower healthcare costs across all stages of the cancer care continuum. Guardant Health has commercially launched Guardant360®, Guardant360 CDx, Guardant360 TissueNext™, Guardant360 Response™, and GuardantOMNI® tests for advanced stage cancer patients, and Guardant Reveal™ for early-stage cancer patients. The Guardant Health screening portfolio, including the Shield™ test, aims to address the needs of individuals eligible for cancer screening.

Job Description

The Screening Bioinformatics team at Guardant Health is focused on the development of products for the early detection of cancer in average-risk populations. This team works in close collaboration with assay scientists. We develop bioinformatics frameworks and apply statistical and machine learning methods to process raw multi-omic biological signals, identify relevant biomarkers and build predictive models for the detection of early-stage cancer.

About the Role:

We are looking for a bioinformatics intern to join the algorithm development team within Screening Bioinformatics this summer. The successful candidate will work at the forefront of research and technological development within the interdisciplinary Screening Bioinformatics team and will make core contributions to evolving products designed to have a clinical impact on patients.

Essential Duties and Responsibilities:

The intern position is with the bioinformatics group and will work on developing computational models for the early cancer screening product. The major responsibilities include:

• Develop and analyze performance of novel statistical models
• Provide written documentation and specifications for transparency and reproducibility

Qualifications

• Must be currently enrolled in a PhD program in computational biology/bioinformatics, biostatistics, statistical genetics, machine learning, or related fields
• Experience working with statistical models for genomic, epigenomic, or proteomic data
• Proficiency with a high-level scripting language (Python/R; Python preferred)
• Proficiency with Linux command-line and version control tools (git and GitHub)
• Familiar with high-performance computing infrastructures (e.g., SGE, SLURM, AWS, Spark)
• Effective at communicating findings to cross-functional teams

Preferred Qualifications:

• Graduating within 1-2 years
• Experience in analyzing public genomic/epigenomic datasets (e.g. TCGA, ENCODE)
• Cancer biology background
• Ability to build reproducible and well-written code (or packages) for data analysis
• Experience working with single-cell data

Additional Information

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.

Covid Vaccination Policy:  Guardant Health requires all employees to be fully vaccinated. We follow the CDC guidelines for the definition of “fully vaccinated”, meaning an employee is consider fully vaccinated against COVID-19 after receiving the second dose of a two-dose vaccine or one dose of a single-dose vaccination, and necessary booster vaccines. In addition, fully vaccinated employees will be required to maintain their fully vaccinated status under this policy by obtaining, if applicable, any FDA-approved boosters. Candidates may request and obtain an approved exemption from Guardant’s COVID-19 U.S. Vaccination Policy as a reasonable accommodation, as consistent with applicable laws.  Candidates will not be able to start their employment with Guardant until they show proof of vaccination or have an approved exemption.

For positions based in Palo Alto, CA or Redwood City, CA, the hourly range for this full-time position is Undergraduate $27/hr., Graduate $32/hr., and Doctorate $40/hr. The range does not include benefits and, if applicable, overtime, 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 Peopleteam@guardanthealth.com

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.

To learn more about the information collected when you apply for a position at Guardant Health, Inc. and how it is used, please review our Privacy Notice for Job Applicants.

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

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