Senior Staff Bioinformatics Scientist

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: 

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 is looking for a bioinformatics scientist excited about conducting research and early development in an interdisciplinary environment to enable breakthroughs in cancer patient care. 

We are looking for an individual who will take ownership of innovative projects that utilize high-throughput data as well as novel assay/algorithm development to contribute to Guardant’s vision of cancer care through liquid biopsies, with a focus on early cancer screening, minimal residual disease detection, and therapy monitoring. 

We are working at the forefront of scientific and technological innovations, developing novel methodologies that deliver substantial clinical impact to patients. If this is something you are passionate about, come join us! 

Essential Duties and Responsibilities: 

• Investigate data in model-free contexts integrating fundamental statistical and visualization techniques and biological knowledge to derive insights from large-scale genomics and epigenomic NGS data.
• Design, prototype, and analyze performance of novel statistical/machine learning models. 
• Develop reproducible analyses for research and development activities. 
• Provide written documentation and specifications. 
• Collaborate closely with Technology Development scientists on designing experiments to assess and improve assay performance. 
• Lead efforts across a highly collaborative set of teams to drive early research projects past concept phase and into later stages of development. 
• Communicate analysis results to stakeholders across computational and experimental teams, and cross-disciplinary company leadership to inform product strategy 

Qualifications

• Dedicated to making a difference in a rapid-paced, collaborative, startup-like environment 
• Ph.D. in computational biology, bioinformatics, genomics, statistics, computer science, machine learning, or related fields 
• 12+ years experience in industry/academia post-graduation 
• Strong background in probability and statistics, including inference approaches, iterative model development, and hypothesis testing 
• Demonstrated track record of developing and implementing novel algorithms that go on to be utilized in a clinically and analytically validated setting 
• Extensive experience with analysis of genomic and/or epigenomic NGS data 
• Background in cancer genomics and liquid biopsy 
• Ability to design and execute analyses in an open-ended, data-limited setting 
• Expertise in python and associated statistics/ML/AI/data visualization packages 
• Proficiency with Linux command-line and version control tools (git and GitHub) 
• Excellent communication skills in an interdisciplinary environment 
• Capable of working west coast (PST) hours 

Preferred Qualific