Senior Staff Bioinformatics Scientist, Translational Bioinformatics #3497

Key Skills

Effective communication skills, Machine learning techniques, Python Programming, R Programming, Statistical modeling

Job Description

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.

GRAIL is seeking a highly motivated and experienced Senior Staff Scientist to join our Translational Bioinformatics team working within GRAIL’s Research division. You will play a key role in cancer detection, disease and treatment response monitoring as well as in characterizing disease biology, with the ultimate goal of improving patient outcomes across the continuum of cancer treatment. You will work with diverse teams including research, clinical, software, operations, product development, and external collaborators to develop new diagnostic products for oncology drug discovery and translational research. You’ll report to the Senior Director of Translational Bioinformatics team.

GRAIL is headquartered in Menlo Park California. This position enjoys a hybrid environment in which employees will be onsite 2 days a week.

Responsibilities

• Lead team projects and conduct bioinformatics analyses to solve complex scientific problems with significant functional impact
• Define strategic direction and analysis plans to drive innovative research projects internally or externally and/or improve products, infrastructure, or processes
• Provide technical leadership to a technical area or a product development workstream
• Collaborate across teams and disciplines to solve problems and act as a trusted cross-functional partner
• Lead and contribute to scientific publications, conference presentations, technical reports, and internal knowledge sharing activities to disseminate research findings and promote scientific excellence within the organization
• Mentor junior members of the team

Preferred Qualifications

• D. with 8+ years experience in bioinformatics, computational biology, or a related field, including at least 2+ years industry experience, with background in oncology and experience in drug discovery and/or translational research
• Strong technical skills, proficient in R or Python programming, solid understanding of statistical modeling and machine learning techniques (regression, classification, clustering, survival analysis, longitudinal modeling)
• Expert knowledge in the analysis and interpretation of at least one of the following data types: genomic, epigenomic, transcriptomic, or proteomic data
• Clear, positive, and proactive communicator in verbal and written communications
• Demonstrated experience in managing complex biomedical projects with internal and external dependencies
• Mastery of working collaboratively under tight deadlines and balancing the needs of multiple key stakeholders
• Results-oriented: superb follow-through, drive, and creative problem-solving

The estimated, full-time, annual base pay scale for this position is $200,000 - $230,000. Actual base pay will consider skills, experience, and location.