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Senior Bioinformatics Scientist - Cancer Biology

Menlo Park, California, US
Closing date
Dec 3, 2022

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Academic / Research, Consultancy/Private Sector
Informatics / GIS
Genetics, Biology
Salary Type
Employment Type
Full time
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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

This role is part of the computational biology and machine learning group within the Bioinformatics & Data Science team at GRAIL whose work is at the heart of the company's products: from classifier algorithms for cancer screening to scientific software pipelines for rapid model development. You will work with diverse teams including computational biologists, machine learning engineers, clinical scientists, assay scientists, and product managers. In this role, you will lead analyzing some of the largest, richest biological datasets in the world to derive biological insights and guide product innovation. Your work will result in exciting discoveries in cancer biology, impactful publications, and potential future products.

Lead the design and execution of rigorous studies to extract cancer biology insights to promote scientific and technical innovation models and analyze large, complex NGS datasets using rigorous statistical methods to generate insights. Perform end-to-end analyses that include data gathering, processing, analysis, iteration with stakeholders, and presentation/publication of study results. Interact cross-functionally with other teams including assay, software, clinical, operations, product development, and external collaborators build, present, and report analyses that reinforce scientific rigor and quality and which maintain GRAIL's statistical culture.

  • Ph.D. in cancer biology, cancer genomics, cancer immunology, computational biology, bioinformatics, genetics, statistics, or related field with 3+ years of industry experience
  • Deep knowledge of cancer genetics, mechanisms of cancer evolution, or tumor-immune system interactions
  • Proven track record of frequently cited publications, impactful computational tools, and methods, products, or data sets released to market or used by the scientific community or presentations at international conferences
  • Deep understanding of modern statistical methods for the analysis of genomic datasets
  • Demonstrated ability to apply these skills to uncover new biological insights from large genomics datasets
  • Demonstrated expertise in at least one programming language (R and Python), and proficiency in a Linux environment
  • Results-oriented: superb follow-through, drive, and creative problem-solving
  • Clear, positive, and proactive communicator in verbal and written communications

Experience at the interface of machine learning and cancer biology
Proficiency in version control tools, and reproducible research practices

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.
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