Staff Bioinformatics Scientist - Computational Biology

Employer
GRAIL, Inc.
Location
Menlo Park, CA, United States
Posted
Jul 04, 2021
Ref
469940791
Hotbed
Biotech Bay
Required Education
Bachelors Degree
Position Type
Full time
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. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies. For more information, please visit www.grail.com.

This position is with GRAIL's computational biology and interpretation team centered at Menlo Park, CA. The team works with some of the largest, richest biological datasets in the world to find biological signals and patterns to guide GRAIL's assays, pipelines, and product strategies. We are part of GRAIL's Bioinformatics and Data Science organization and work with scientists, clinicians, and engineers on all aspects that relate next-generation sequencing data to clinical information and cancer biology.

You will:

• Lead end-to-end analyses that include tool development, processing, analysis, iteration with partners, and presentation of results.
• Design, execute, and own computationally efficient software solutions to analyze large, complex genomics datasets using machine learning and statistical methods to generate biological insights.
• Build and support tools and methods that reinforce scientific rigor and quality and which maintain GRAIL's statistical culture.
• Investigate the biology of cell free nucleic acid in cancer, generate statistically secure findings, and relate them to performance and clinical value of molecular tests.
• Interact cross-functionally and work closely with interdisciplinary teams including software engineering, clinical, research, product development, laboratory operations, and external collaborators.

Your analyses will result in discoveries in cancer biology, impactful publications, and products for early detection and clinical management of cancer.

Your Background Includes:

• Ph.D. in Bioinformatics, Computer Science, Computational Biology, Statistics, Biological Sciences, Cancer Biology, Genetics, Genomics, Physics, or equivalent preparation and experience.
• Deep understanding of statistical and machine learning tools for the analysis of genomics datasets and their use in clinical test development.
• Proven ability to translate this knowledge into software tools that can be applied to large 100TB+ genomics datasets, using Map/Reduce type systems.
• Demonstrated industry expertise in various programming languages (preferred Go, R, otherwise Python, C++, Java, C#), strong experience with version control tools and reproducible research practices in a Linux environment.
• Consistent track record of scientific computation contributions demonstrated by impactful tools used in commercial products and by the scientific community, peer-reviewed publications, intellectual property, and awards.
• 5 years of demonstrated ability in positions of growing responsibility.
• Proven record of design, execution and leadership of interdisciplinary industry projects preferably in a regulated environment, involving oncology applications, next-generation sequencing, or molecular tests.
• Self-direction, willingness to both teach others and learn new techniques.
• Effective written and verbal communication skills.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

GRAIL, Inc. and its affiliates and subsidiaries ("GRAIL") does not accept any liability for fees for resumes from recruiters or employment agencies ("Agency"), without a binding, written recruitment agreement between GRAIL and Agency describing the services and specific job openings ("Agreement"). GRAIL may consider any candidate for whom an Agency has submitted an unsolicited resume and explicitly reserves the right to hire those candidate(s) without any financial obligation to the Agency, unless an Agreement is in place. Any email or verbal contacts with any person within GRAIL is inadequate to create a binding agreement. Agencies without an Agreement are requested not to contact any hiring managers of GRAIL with recruiting inquiries or resumes. Agencies interested in partnering with GRAIL may contact GRAIL's HR Department through our Customer Service team .