Company Description
Guardant Health is a leading precision oncology company focused on guarding wellness and giving every person more time free from cancer. Founded in 2012, Guardant is transforming patient care and accelerating new cancer therapies by providing critical insights into what drives disease through its advanced blood and tissue tests, real-world data and AI analytics. Guardant tests help improve outcomes across all stages of care, including screening to find cancer early, monitoring for recurrence in early-stage cancer, and treatment selection for patients with advanced cancer. For more information, visit guardanthealth.com and follow the company on LinkedIn, X (Twitter) and Facebook.
Job Description

ABOUT THE ROLE:

The Bioinformatics Scientist will join an interdisciplinary team working with an unprecedented set of clinical DNA whole genome and exome sequence data and multiple epigenetic data types produced by novel R&D pipelines at Guardant Health. The scope of this project provides unique opportunities for developing and learning novel analytical methods for DNA sequencing data, including cell free DNA-based genomic and methylation data integrated with epigenetic data sets.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Work with large, complex data sets. Tend to non-routine analysis problems, applying deep epigenetic knowledge to conduct end-to-end analysis of epigenetic cell-free nucleic acid NGS data.
• Development, continuous improvement, and validations of biomarkers for Guardant Health oncology products.
• Develop or apply statistical methods and procedures to evaluate and validate Guardant Health technologies.
• Work 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.
• Communicate research results through presentations and project reports as well as scientific publications.
  Qualifications

Ph.D. in Bioinformatics, Computational Biology, Statistics, Biological Sciences, Cancer Biology, Genetics, Genomics, Computer Science

• 0-5 years of related experience
• Proven scientific reputation as demonstrated by scientific publication and/or contribution to successful product development in the biotech industry.
• 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.