Senior Bioinformatics Scientist, Research and Early Development

Company Description

Guardant Health is a leading precision oncology company focused on guarding wellness and giving every person more time free from cancer. Founded in 2012, Guardant is transforming patient care and accelerating new cancer therapies by providing critical insights into what drives disease through its advanced blood and tissue tests, real-world data and AI analytics. Guardant tests help improve outcomes across all stages of care, including screening to find cancer early, monitoring for recurrence in early-stage cancer, and treatment selection for patients with advanced cancer. For more information, visit guardanthealth.com and follow the company on LinkedIn, X (Twitter) and Facebook.

Job Description

About the Role:

At Guardant Health, we are committed to positively and significantly impacting patient health through technology breakthroughs that address long-standing unmet needs in oncology. As the leader in the field of liquid biopsy, Guardant Health is looking for a bioinformatics scientist excited about conducting research and early development in an interdisciplinary environment to enable breakthroughs in cancer patient care. We are looking for an individual who will take ownership of innovative projects that utilize high-thoughput signals as well as novel assay development, and are geared to contribute to Guardant’s vision of cancer care through liquid biopsies, with a focus on early cancer screening, minimal residual disease detection, and therapy monitoring. This position is in the bioinformatics research and early development group.

We are working at the forefront of scientific and technological innovations, developing novel methodologies that deliver substantial clinical impact to patients. If this is something you are passionate about come join us!

Essential Duties and Responsibilities:

• Design, prototype, and analyze performance of novel statistical/machine learning models.

• Investigate data in model free contexts integrating fundamental statistical and visualization techniques and biological knowledge to derive insights.

• Apply modeling and model free approaches to large-scale genomics and epigenomic NGS data.

• Collaborate with Technology Development scientists on designing experiments to assess and improve assay performance.

• Work with cross-functional teams to discuss immediate and long-term product strategy.

• Participate in brainstorming sessions and collaborative efforts within a highly interactive work environment.

• Communicate analysis results to stakeholders across computational and experimental teams.

• Develop reproducible analyses for research and development activities.

• Provide written documentation and specifications.

Qualifications

• Dedicated to making a difference in a rapid-paced, collaborative, startup-like environment

• Ph.D. in computational biology, bioinformatics, genomics, statistics, computer science, machine learning, or related fields

• Strong background in statistical fundamentals and analysis, including inference approaches and iterative model development, and hypothesis testing

• Experience developing and implementing novel methods, and going beyond packaged algorithms

• Experience with analysis of genomic and/or epigenomic NGS data

• 5+ years experience in industry/academia post-graduation

• Ability to design and execute analyses in an open-ended, data-limited setting

• Experience visualizing complex experiments to derive biological insights

• Proficiency with a high level scripting language (e.g. Python, R)

• Proficiency with Linux command-line and version control tools (git and GitHub)

• Excellent communication skills in an interdisciplinary environment 

Preferred

• Background in cancer biology or molecular biology

• Experience analyzing external genomic/epigenomic datasets (e.g. TCGA, ENCODE)

• Familiarity with high-performance computing infrastructures (e.g. SGE, Spark)

• Experience leveraging AWS-based services (e.g., EC2, S3) to speed analyses

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.

For positions based in Palo Alto, CA or Redwood City, CA, the base salary range for this full-time position is $157,100 to $212,040. 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]

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/

#LI-CS4