Computational Biologist

4 weeks ago


Palo Alto, California, United States ZipRecruiter Full time
Job Overview
Guardant Health is seeking a highly skilled Computational Biologist to join our team. As a Computational Biologist, you will work with large, complex data sets to apply deep epigenetic knowledge and conduct end-to-end analysis of epigenetic cell-free nucleic acid NGS data. You will develop, continuously improve, and validate novel biomarkers for Guardant Health oncology products and collaborate with the Technology Development team to develop and analyze verification and validation experiments as part of regulatory submissions.

About Guardant Health
Guardant Health is a leading precision oncology company that aims to conquer cancer globally through its proprietary tests, vast data sets, and advanced analytics. Our oncology platform leverages capabilities to drive commercial adoption, improve patient clinical outcomes, and lower healthcare costs across all stages of the cancer care continuum.

Key Responsibilities
* Work with large, complex data sets to apply deep epigenetic knowledge and conduct end-to-end analysis of epigenetic cell-free nucleic acid NGS data
* Develop, continuously improve, and validate novel biomarkers for Guardant Health oncology products
* Apply statistical methods and procedures to evaluate and validate Guardant Health technologies
* Collaborate with the Technology Development team to develop and analyze verification and validation experiments as part of regulatory submissions
* Provide analytic support on individual samples and research activities
* Develop scripts for research and development activities and leverage cutting-edge AI methods to continuously improve efficiency

Qualifications
* Ph.D. in Bioinformatics, Computational Biology, Statistics, Biological Sciences, Cancer Biology, Genetics, Genomics, Computer Science
* 1-3 years of experience
* Ability to sit for extended periods of time
* Deep understanding of modern tools and pipelines in genomics for processing and analysis of primary data, including somatic and structural variant calling
* Experience with next-generation sequencing data analysis (DNA, RNA, or epigenetic analysis)
* Deep experience with a statistical programming language (e.g., R, Python)
* Demonstrated effective written and verbal communication skills

Salary Information
Competitive salary: $124,200 - $167,700 per year

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