Developing technology that aims to transform cancer to a preventable and manageable disease.
We believe conquering cancer is a big data problem. That’s why we built the world’s leading comprehensive liquid biopsy. This non-invasive tool for accessing and sequencing tumor DNA is used by thousands of oncologists to help tens of thousands of advanced cancer patients. We believe the boom in cancer data acquisition we helped launch will drive important discoveries and new products. We’re developing groundbreaking cancer in vitro diagnostic (IVD) tests that meet or exceed regulatory requirements in order to offer patients safe, effective, and timely diagnostic results that enable the most effective personalized therapies. We’ve raised more than $500 million from investors including Sequoia Capital, Khosla Ventures, OrbiMed, and SoftBank.
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 a member of the Bioinformatics development group, you will design wet lab studies, retrospective analyses, and simulations, develop and execute bioinformatics analysis plans, and author development reports. You will work closely with multiple teams across Guardant Health, including Bioinformatics, Software, Technology Development, Regulatory, and Operations. Your work will evaluate feasibility and reduce technical risk for development of critical features and studies in support of in-vitro diagnostic product development.
As a competitive candidate, you will have many of the the following training, skills, and experience:
PhD in Bioinformatics, Statistics, Computational Biology, Cancer Genomics, or related quantitative field
Or MS in above + 3 years industry experience
Experience designing, analyzing, troubleshooting, and visualizing wet lab experiments
Demonstrable expertise in genome scale data analysis
Bioinformatics skills in genomics, sequence analysis, python or R scripting under version control
Awareness and experience with current landscape of bioinformatics tools
Working knowledge of statistical methods, including: conditional probability, linear modeling, goodness-of-fit tests, maximum likelihood, and bayesian models.
Attention to detail, with ability to write development reports
Commitment to reproducible research
IVD development experience in molecular diagnostics preferred
Desire to contribute to personalized medicine and innovative cancer care
Ability to work under fast-paced startup environment
Work closely with molecular biologists to design and analyze feature development and feasibility experiments under design control
Develop and execute bioinformatics analysis plans with testable acceptance criteria
Conduct feasibility analyses and write development reports
Identify and solve problems proactively as needed
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