Guardant Health-posted 2 months ago
$133,540 - $183,560/Yr
Full-time • Senior
Hybrid • Palo Alto, CA
1,001-5,000 employees
Ambulatory Health Care Services

At Guardant Health, we are committed to positively and significantly impacting patient health through technology breakthroughs that address long-standing unmet needs in oncology. The Bioinformatics, BioPharma team at Guardant Health is focused on partnerships with leading biotech and pharma companies who are at the forefront of cancer therapeutics and diagnostics. 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, and address some of the most compelling biological and technical challenges in the field. You will contribute to novel project initiatives in-house, including the development of novel bioinformatics and analytical methods. As a member of the Bioinformatics and BioPharma team, you will have the opportunity to drive innovation and implement new ideas, continuously enhancing our emerging technology products and analytics to align with the evolving needs of the BioPharma landscape. 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, including cell free DNA-based transcript expression and methylation data integrated with epigenetic data sets. You will work together with our collaborators in industry, hospitals and academia on high-impact translational research and publish on your findings. You will have access to the unprecedented compendium of data collected at Guardant Health and you will be able to (and should be excited to!) leverage this data for tumor biology and technological insights.

  • 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.
  • 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, with a proven ability to effectively convey complex scientific concepts and present clearly and effectively to stakeholders across organizations.
  • Ability to thrive in a fast-paced startup environment, delivering high-quality results under tight timelines.
  • Strong analytical and organizational skills, with the ability to synthesize complex concepts, drive projects forward, and maintain attention to detail.
  • Collaborative team player, adept at working cross-functionally and across institutions to achieve shared goals.
  • Experience in developing novel or custom algorithms for NGS data interpretation.
  • Direct experience working with epigenomic data.
  • Flexible work hours with a hybrid work model.
  • Competitive salary range of $133,540 to $183,560, with higher ranges for specific locations.
  • Opportunities for professional development and growth.
  • Access to a unique compendium of clinical data for research.
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