We believe conquering cancer is a big data problem. That’s why we built the world’s leading comprehensive liquid biopsy. This non-invasive tool for accessing and sequencing tumor DNA is used by thousands of oncologists to help tens of thousands of advanced cancer patients. We believe the boom in cancer data acquisition we helped launch will drive important discoveries and new products. We’re working on some exciting ones, including in early detection, where the impact on patients can be profound. We’ve raised more than $500 million from investors including Sequoia Capital, Khosla Ventures, OrbiMed, and SoftBank.
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 has collected cancer genomic data from over 70,000 patients and is looking for bioinformatics scientists excited about analyzing genetic and epigenetic signals in this data to enable breakthroughs in cancer patient care.
Elucidate genetic and epigenetic signals relevant to early cancer detection from large-scale NGS data
Develop reproducible analyses for research and development activities
Integrate internal and external genomic data sources to improve product performance
Interact with medial affairs and technology teams to incorporate relevant biological knowledge to design efficient and relevant experiments
Participate in brainstorming sessions, maintain a highly productive and motivating work environment
Provide written documentation and specifications
Ph.D. in computational biology, machine learning, genomics, or related fields
Deep understanding of how NGS data is produced and common tools used to analyze it (e.g., BWA, Samtools, etc.)
Experienced in visualization of complex experiments to derive biological insights
Proficiency with a high level scripting language (R or Python)
Experience with good software engineering practices (e.g., unit testing, code documentation) a plus
Experience leveraging AWS based services (e.g., EC2, S3) to speed analyses
Familiar with high-performance computing infrastructures (e.g., SGE, Spark)
Great communicator with great written and verbal fluency in English
Ability to work independently, with minimal supervision
Dedicated to make a difference in a rapid-paced startup environment
All your information will be kept confidential according to EEO guidelines.