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 and identify multiple deadly cancer types early. The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test. GRAIL is headquartered in Menlo Park, CA with locations in Washington, D.C., North Carolina, and the United Kingdom. GRAIL, LLC is a wholly-owned subsidiary of Illumina, Inc. (NASDAQ:ILMN). For more information, please visit www.grail.com.

POSITION SUMMARY:

In this role, you will collaborate with a team of talented scientists, software engineers, and machine learning engineers to develop state-of-the-art assays to detect cancer signals at an early stage. You will be involved in the design of NGS experiments, analysis of the data and interpretation of the results. You will lead computational support for assay development and validation, provide analytical input for bioinformatics pipeline development, and will run in-silico simulation studies to characterize classification performance.

You will:

• Act as a core member of the R&D team leading the computational aspects of assay development.
• Support a team of assay scientists to characterize and evaluate assay performance.
• Contribute to the pipeline development by characterizing assay features
• Run in-silico experiments to simulate assay modifications and characterize assay attributes.
• Perform complex analysis of large genomic data sets.
• Present project updates, data analysis, and experimental conclusions at technical meetings.

Your background should include:

• Master or Ph.D. in computational biology, bioinformatics, statistics, biological sciences, cancer biology, genetics, genomics, computer science, physics, engineering, or equivalent preparation and experience.
• In-depth knowledge of genomics and Next Generation Sequencing.
• Preferred, 3 to 5+ years of relevant experience in positions of increasing responsibility.
• Demonstrated expertise in at least one programming language (R, Python, Go), OOP skills highly preferred
• Proficiency in Linux environment, version control tools, and reproducible research practices.
• Proven knowledge of statistics.
• Demonstrated ability to uncover new biological insights from large genomics datasets.
• Effective written and verbal communication skills.
• Ability to multitask as needed in a complex environment.
• Strong team player with the ability to collaborate with cross-functional teams.

GRAIL is an Equal Employment Office and Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status. We will reasonably accommodate all individuals with disabilities so that they can participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Following extensive monitoring, consideration of business implications, and advice from internal and external experts, GRAIL US has made the decision to require that all U.S. employees be “Fully Vaccinated” with the COVID-19 vaccine. “Fully Vaccinated” is defined as two weeks after both doses of a two-dose vaccine (e.g. Pfizer or Moderna) or two weeks since a single-dose vaccine (e.g. Johnson & Johnson) has been administered. Absent a qualifying exemption, all GRAIL US employees are to comply with this requirement, including providing documentation of such vaccination status, as a condition of employment. Anyone unable to be vaccinated, either because of a sincerely held religious belief or a medical condition or disability that prevents them from being vaccinated, can request a reasonable accommodation for consideration by GRAIL.