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Job Details

Bioinformatics Scientist Machine Learning

Company name
Guardant Health, Inc.

Redwood City, CA

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at Guardant Health

Redwood City, CA, US

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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 working on some exciting ones, including in early detection, where the impact on patients can be profound. We’ve raised more than $500 million from investors including Sequoia Capital, Khosla Ventures, OrbiMed, and SoftBank.

Job Description

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 has collected cancer genomic data from over 40,000 patients and is looking for machine learning data scientists excited about developing statistical and machine learning algorithms aimed at using this data to enable breakthroughs in cancer patient care.

Potential applications of machine learning using liquid biopsy data include (but are not limited to):

Using epigenetic signals to detect tissue of origin

Identifying biomarkers predicting drug response

Predicting the occurrence of cancer relapse

Detecting tumor residues after surgery

Enabling early detection of cancer in high risk patients


Use machine learning and signal processing techniques to develop new algorithms for NGS data analysis with impact on clinical patient care

Elucidate key dependencies and factors explaining observed mutational profiles across cancer types

Integrate internal and external genomic data sources for comprehensive analysis

Interact with medial affairs and technology teams to include expert knowledge of data attributes and to design experiments generating most pertinent data for analysis

Participate in brainstorming sessions, create and maintain a highly productive and motivating work environment

Provide written documentation and specifications


PhD. in machine learning, high dimensional statistics, computational biology, engineering, mathematics, physics or related fields

Experienced machine learning algorithm developer with focus on genomic data applications:

Experience using regression, supervised and unsupervised learning

Experience using deep learning applications to genomic data

Expert knowledge of probability and statistics with focus on working with high-dimensional data

Experienced in Python, R, and C/C

Familiar with high-performance computing (SGE / grid, Mesos, MPI)

Great communicator with great written and verbal fluency in English

Ability to work independently, with minimal supervision

Dedicated to make a difference in a rapid-paced startup environment

Additional Information

All your information will be kept confidential according to EEO guidelines.

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Company info

Guardant Health, Inc.
Website :

Company Profile
Guardant Health has helped thousands of oncologists learn accurate and actionable information about tens of thousands of patients, while avoiding the costs and risks of tissue biopsies. Our genomic test helps match advanced-cancer patients to approved targeted therapies as well as drugs in clinical trials.

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