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Grail’s mission is to detect cancer early, when it can be cured

Data Scientist, Assay Development

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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. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies. For more information, please visit www.grail.com.

In this role, you will work with a team of talented scientists to develop state of the art assays to detect cancer signals at an early stage. You will be involved in the design of experiments, analysis of the raw data and interpretation of the results to improve assay performance. You will lead analytical efforts to characterize and improve assay attributes to make them more efficient and sensitive. You will also design and perform simulation studies to evaluate the effect of assay modifications on the classification results.

You Will:

  • Act as a core member of the R&D team leading the analytical aspects of new assay development.
  • Support a team of assay scientists to characterize and evaluate assay performance.
  • 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 Includes:

  • Master or PhD 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, epigenetics, and Next Generation Sequencing workflows.
  • Preferred, 3 years of relevant experience in positions of increasing responsibility.
  • Demonstrated expertise in at least one programming language (R, Python, Go.)
  • 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.
Location
Menlo Park
Job type
Full-time
Visa sponsorship
Not Available

Complete health coverage

Take advantage of comprehensive health coverage, with medical, dental and vision, to keep you and your family healthy.

Work-life balance

Make everyday life more manageable with flexible time off – we trust you to do great work and take time for yourself.

On site amenities

Stay healthy, happy and productive with our gym facilities, and daily catered lunches and snacks for all.

Outstanding people

Join a team of passionate and dedicated professionals, committed to collaboration, education, and proactive problem-solving.

Strong compensation

We offer competitive salaries and savings plans to provide peace of mind for long-term financial planning.

GRAIL at a glance

Grail’s mission is to detect cancer early, when it can be cured

GRAIL focuses on Biotechnology, Life Sciences, Healthcare, Diagnostics, and Medical Technologies. Their company has offices in Menlo Park. They have a large team that's between 201-500 employees. To date, GRAIL has raised $3.605B of funding; their latest round was closed on May 2020.

You can view their website at https://grail.com/ or find them on Twitter, Facebook, LinkedIn, and Product Hunt.

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