Address
Form of work
SalaryGRAIL 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.
This 10-week summer intern position will be part of the Research team working at the interface of our one-of-a kind DNA methylation-based dataset of >10,000 cell-free DNA samples, outstanding cloud computing infrastructure, and unparalleled curated clinical data to discover novel biological insights into the detection of early stage cancer. You will be trained in the development of methods, analysis, pipelines, and algorithms of next-generation sequencing data, for cancer detection, conformance to regulatory requirements. You will participate with other summer interns, and in our scientific excellence and innovation culture in the San Francisco Bay Area!
You will expected to be onsite in Menlo Park, CA with our team 2-5 days a week during your internship. Start date is June 10, end date is Aug 23. There is a one week unpaid summer break July 1-5th.
Day to Day Responsibilities
- Prototype, optimize, and implement new NGS-based assays for early cancer detection
- Design, plan and execute wet-lab experiments and conduct data analysis using appropriate software (e.g., R, JMP)
- Summarize, present and document study outcomes
- Present and participate in group meetings and discussions
Potential Areas of Focus
- Propose and evaluate NGS Library Preparation workflows to meet requirements for target applications (e.g., performance, cost, throughput)
- Execute experiments to evaluate and optimize assay protocol performance
Your background should include:
- Enrolled in a master's degree or PhD graduate program in molecular biology, biochemistry, cell biology, genetics, cancer genomics or relevant disciplines
- Experience with NGS library preparation workflows and molecular biology techniques
- Experience with developing and optimizing NGS assay protocols
- Experience with genomic data analysis using R or Python
The expected hourly pay scale for this position for Masters: $50/hr or PhD: $55/hr. Actual hourly 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 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.
