GRAIL is a healthcare company whose mission is to detect cancer early, when it can be cured. GRAIL is focused on alleviating the global burden of cancer by developing pioneering technology to detect & identify multiple deadly cancer types early. The company is using the power of next-generation sequencing, population-scale clinical studies, & state-of-the-art computer science & data science to enhance the scientific understanding of cancer biology, & to develop its multi-cancer early detection blood test. GRAIL is headquartered in Menlo Park, CA with locations in Washington, D.C., North Carolina, & the United Kingdom. GRAIL is a wholly-owned subsidiary of Illumina (NASDAQ:ILMN). For more information, please visit www.grail.com
The Data Science & Biostatistics organization is looking to hire a Senior Bioinformatics Data Engineer (BXDE) to partner with computational, engineering, research, & clinical study teams in providing support & developing data solutions for the GRAIL product pipeline.
The BXDE will partner with scientists & statisticians to support efficient & accurate capture & transfer of sample information & analysis results through GRAIL's analysis systems. As such, the BXDE will become proficient in GRAIL's analysis system architecture, including primarily GRAIL's LIMS for laboratory data; Electronic Data Capture (EDC) for clinical study data; the Bioinformatics Pipeline for sequence analysis & cancer classification data; & TidyData, the system that aggregates, packages, & serves datasets created from LIMS, EDC, & Pipeline outputs.
The BXDE will also collaborate with software engineers & scientists to develop & produce analysis-ready datasets for clinical research & product development. The BXDE will develop code & procedures to support dataset generation, perform QC, & solve issues that arise during dataset generation. The BXDE will also collect requirements, develop prototypes, & collaborate on production implementations of new reporting-related features as needed.
The BXDE will learn analysis requirements by reading laboratory protocols, Statistical Analysis Plans, & other analysis planning documents & meeting with scientists, biostatisticians, & other stakeholders.
Additionally the BXDE may have opportunities to collaborate on statistical analyses & creation of analysis reports & interactive data visualizations.