Full-Time Sr. Bioinformatics Scientist

At Guardant Health, we are committed to positively and significantly impacting patient health through technology breakthroughs.

The Bioinformatics, BioPharma team at Guardant Health is focused on partnerships with leading biotech and pharma companies. In this role, you will play a key leadership role in bioinformatics and data analysis, supporting the development of emerging technologies. You will collaborate with BioPharma and clinical partners, customize analyses to meet the unique needs of each organization.

You 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.

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.
• Develop or apply statistical methods and procedures to evaluate and validate Guardant Health technologies.
• Systematically leverages external innovation ideas and expertise to address technology gaps and advance the Guardant Health's business.
• Provide analytical support on individual samples and research activities.
• Deliver analytical support for clinical operations in compliance with CLIA and CAP regulatory standards.
• Analyze genomic data from clinical patients and external annotation sources to improve the accuracy and quality of reporting.
• 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.

Requirements:

• Ph.D. in Bioinformatics, Computational Biology, Statistics, Genomics or related fields.
• 5-8 years experience in industry/academia post-graduation
• Established scientific expertise, demonstrated through peer-reviewed publications and/or contributions to successful product development in the biotech industry.
• In-depth knowledge of modern genomic tools and pipelines for processing and analyzing primary data, including somatic and structural variant detection.
• Extensive experience in next-generation sequencing (NGS) data analysis, including DNA, RNA, or epigenetic analysis.
• Proficiency in scripting languages (e.g., Python, R) and Linux shell environment, with a strong foundation in data analysis and interpretation.
• Strong written and verbal communication skills.
• Ability to thrive in a fast-paced startup environment.
• Strong analytical and organizational skills.
• Collaborative team player.

Bonus:

• Experience in developing novel or custom algorithms for NGS data interpretation.
• Direct experience working with epigenomic data.

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