Job Description

Job Description The position is in the bioinformatics group within the screening program and will work on the development of computational models for the early cancer screening products (Shield). The major responsibilities are Develop, prototype, and analyze performance of novel statistical/machine learning models to further improve early cancer detection, MRD, longitudinal monitoring, and CSO. Work directly with the RED team to help develop new technologies, both through hands-on work and providing ideas to team members. Participate in brainstorming sessions, maintain a highly productive and motivating work environment Identify relevant external genomic, epigenomic and proteomic data sources and integrate with internal data to improve product performance and suggest new product features Provide written documentation and specifications for transparency and reproducibility Innovate novel methods for screening and MRD Work cross functionally with other teams to provide insight and feedback to projects The preferred location for this position is either Palo Alto or San Diego. Qualifications: Qualifications Dedicated to make a difference in a rapid-paced, collaborative startup environment Ph.D. in computational biology/bioinformatics, genomics, machine learning, or related fields and a minimum of 8+ years related experience Experienced with statistical models for genomic/epigenomic data (e.g. PCA and binomial/poission distribution) 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 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) 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 $174,700 to $240,250. 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 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: #J-18808-Ljbffr Guardant Health

Job Tags

Similar Jobs