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
Job DescriptionAs a member of the Systems Infrastructure team, you will imagine and build the platform for large-scale computation that we use to develop products for the early detection of cancer. The tools and libraries we develop are used to iterate quickly on novel algorithms and analyses. We aim for:Large scale, because our biological sequence data and their derivatives are many terabytes in size, and we’d like to engage many thousands of processors at a time to compute over them. Efficiency, because the faster and more cheaply we can test ideas, the more ideas we can test. Robustness, because we want users to focus on their scientific goals and not the status of their computing clusters. Reproducibility, because we want scientific analysis processes and their results to be deterministic and reproducible. Approachability, because we want to bring powerful distributed computing tools to folks who may not yet be familiar with what’s possible. Composability, because we multiply the power of our tools when people can use them together.We focus on different aspects at different times, but these are all important to us. Some of our work is open-source: Reflow, a language and runtime for distributed, incremental data processing.We write many things in Go and embrace its focus on simple, reliable, and efficient software. With only a single program binary and cloud credentials, our users can run computations that transparently distribute across clusters managed entirely by the program itself.You Must Have
- 5+ years of experience working in a relevant software engineering role.
- Experience building highly scalable systems on AWS.
- Experience with distributed computing: cluster computing, caching, serialization/deserialization, fault-tolerance, etc.
- Excellent logical reasoning and analytical skills.
- Demonstrated detail-orientation, in communication and engineering.
- Demonstrated a preference for simple solutions.
- Demonstrated effective written and verbal communication skills.
- Facilitated organizational change, either technical or cultural.
- Be prepared to discuss any deviations during interviews.
$154,000 - $232,000 a year
The estimated, full-time, annual base pay scale for this position is $154,000 - $210,000. Actual base pay will consider skills, experience, and location.
Based on the role, colleagues may be eligible to participate in an annual bonus plan tied to company and individual performance, or an incentive plan. We also offer a long-term incentive plan to align company and colleague success over time.
In addition, GRAIL offers a progressive benefit package, including flexible time-off, a 401k with a company match, and alongside our medical, dental, vision plans, carefully selected mindfulness offerings.
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. GRAIL maintains a drug-free workplace.