Job Description
Biostatistician 2 (Operations) #2949
REMOTE – USA /
RESEARCH & DEVELOPMENT – LAB OPERATIONS /
FULL-TIME
/ REMOTE
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.
The Biostatistician provides statistical expertise and leadership in the development and validation of analytical assays. The Biostatistician partners with key internal stakeholders to design, analyze, and interpret pre-analytical and analytical studies in support of GRAIL’s product development.
You will:
- Develop and apply statistical methods to assay development and in laboratory support in the following areas:
- Modeling, analysis and visualization of data
- Design of experiments
- Analytical validation
- Statistical process control and assay monitoring
- Create and perform end-to-end analysis that include meeting with key stakeholders, design, data gathering, processing, analysis, iteration with stakeholders, and presentation of results.
Your background and qualifications will include:
- MS or PhD in Bioinformatics, Computational Biology, Statistics, Biological Sciences, Cancer Biology, Genetics, Genomics, Computer Science, Physics, or similar field.
- MS with 3+ years of experience or PhD with 1+ years of experience in molecular diagnostics or pharmaceutical industry experience will be considered, experience performing benchwork preferred.
- Familiarity with regulatory standards, quality management systems, and medical device product development design control preferred.
- Strong knowledge of theoretical and applied statistics.
- Strong verbal, writing, and presentation skills.
- Ability to succeed and thrive in a rapid paced and cross-functional team environment.
- Experience programming in Python or R, experience with version control tools and reproducible research practices, SQL and Tableau are good to have.
The expected, full-time, annual base pay scale for this position is $96,000 – $118,000
Actual base pay will consider skills, experience, and location.