Company DescriptionCompany Description: Guardant Health is a leading precision oncology company focused on helping conquer cancer globally through use of its proprietary blood tests, vast data sets and advanced analytics. The Guardant Health Oncology Platform leverages capabilities to drive commercial adoption, improve patient clinical outcomes and lower healthcare costs across all stages of the cancer care continuum. Guardant Health has launched liquid biopsy-based Guardant360®, Guardant360 CDx and GuardantOMNI® tests for advanced stage cancer patients. These tests fuel development of its LUNAR program, which aims to address the needs of early-stage cancer patients with neoadjuvant and adjuvant treatment selection, cancer survivors with surveillance, asymptomatic individuals eligible for cancer screening and individuals at a higher risk for developing cancer with early detection.Job DescriptionAbout the RoleAs a senior member of the Bioinformatics Algorithms group, you will combine your knowledge of bioinformatics, experimental design, data analysis and software development to implement novel next-generation sequencing (NGS) algorithms, using custom assays and workingclosely with molecular biologists across multiple projects. You willapply cutting-edge methods in next-generation sequencing to develop blood-based, non-invasive approaches to identify biomarkers ofcancer diagnosis and detection. You are responsible for the analysis and interpretation of biological data, as well as the design and implementation of new algorithms.Your analytical efforts enable the culture of data-driven development which is one of the keys to Guardant’s success. Guardant Health uses agile design and implementation practices coupled with the extensive validation and documentation required in a clinical environment. The company thrives by combining the best ideas and practices from molecular biology, bioinformatics, genomics, and clinical testing to improve healthcare for everyone.ResponsibilitiesDevelop or improve algorithms for cancer detection and diagnosis.Analyze large volumes of NGS data in order to draw conclusions from a rich database of historical test resultsFormulate and conduct experimental data analysis, statistical modeling or in-silico simulations, and data visualizationDesign and execute bioinformatics analysis plans to generate insights from experimental data for improving algorithms and bioinformatics pipelinesWrite experimental protocols and engineering reports in collaboration with assay development scientistsPrecisely communicate analysis results to stakeholders across computational and experimental teams and proactively advocate for solutions based on the data insightMentor junior bioinformatics staff on the teamQualificationsPhD in Bioinformatics, Statistics, Computational Biology, Genomics, or related quantitative fields3+ years of relevant experience in the Pharmaceutical or Biotech industryDemonstrated experience in developing methods for the analysis of experimental data in genomics and next-generation sequencing, under the context of product developmentProficiency with a high-level scripting language Python/R, C++ is a plusStrong knowledge of statistics and computational biology algorithms for genomic analysis and cancer genomics (including statistical methods employed in analytical validation, variant calling)Experienced in the visualization of complex experiments to derive biological insightsGood understanding of library preparation methods used to generate next-generation sequencing data, including whole-genome, methylation, and targeted sequencingExcellent communication and teamwork skills to foster a highly collaborative environment, working with both experimental and computational scientistsAdvantage if you haveExperience in oncology NGS applicationsStartup experience in a newly formed company is a plus#LI-MT1Additional InformationGuardant Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.