Job Description
At Guardant Health, we are committed to positively and significantly improving patient health with technology breakthroughs that address long-standing unmet needs in oncology. As the leader in the field of liquid biopsy, Guardant Health has collected cancer genomic data from over 100,000 patients. We are using bioinformatics and machine learning techniques to extract signals from these data and are developing a liquid biopsy assay to detect early-stage cancer. We are looking for a bioinformatics intern to join us in this endeavor. The successful candidate will work at the forefront of research and technological development within the interdisciplinary LUNAR team and will make core contributions to evolving products designed to have clinical impact on patients.
The intern position is with the bioinformatics group and will work on developing computational models for the early cancer screening product (LUNAR2). The major responsibilities are
Develop and analyze performance of novel statistical models
Provide written documentation and specifications for transparency and reproducibility
Several of our recently published results can be found here:
https://www.abstractsonline.com/pp8/#!/6812/presentation/4801
https://meetinglibrary.asco.org/record/175828/abstract
https://meetinglibrary.asco.org/record/171791/abstract
https://www.abstractsonline.com/pp8/#!/9045/presentation/4534
As well as a press release about the recent launch of a 10,000-patient trial for evaluating the clinical impact of our LUNAR blood test for detecting colorectal cancer on an average-risk population:
Qualifications
Experienced with statistical models for genomic and/or epigenomic 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, AWS, Spark)
PREFERRED
Graduating within 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
EDUCATION:
Must be currently enrolled in a PhD program in computational biology/bioinformatics, genomics, machine learning, or related fields. Juniors and graduating seniors are strongly encouraged to apply.
We would like to talk with you about our exciting projects we currently have ongoing.
Additional Information
PHYSICAL REQUIREMENTS
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 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.
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