Senior Biostatistician/Biostatistical Manager

Employer
GRAIL, LLC
Location
Menlo Park, CA
Posted
Jan 12, 2022
Required Education
Masters Degree/MBA
Position Type
Full time
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.

Are you passionate about collecting and analyzing clinical trial data? If so, you're in the right place! We are looking for a Senior Biostatistician or Biostatistical Manager who will provide statistical expertise and leadership to clinical trials! This position will partner with key internal and external stakeholders to design, analyze, and interpret clinical studies in support of GRAIL’s clinical development. This position will also provide statistical modeling expertise and conduct simulations in support of GRAIL’s clinical trial designs, product development, and scientific discovery.
You Will:
  • Provide strategic input for and be a key contributor to GRAIL product development, post-launch activities, and payer’s reimbursement.
  • Represent the Biostatistics function and collaborate with internal and external thought leaders in the design, analysis, interpretation, and publication of phase III / IV clinical studies.
  • Co-author protocols, statistical analysis plans, study reports, presentations, and publications of clinical studies.  
  • Contribute to the development of innovative analysis methodologies, including cutting- edge machine learning algorithms.
  • Work on significant and unique issues that require exercising independent judgment and developing/adapting methodology.
  • Stay abreast of industry and academic developments in the Statistical Genomics and apply to clinical study design and analysis.

Your Background Will Include:
  • Ph.D. in Biostatistics or equivalent with 3-5+ years of experience (or MS with 7+ years) in academia or industry. Molecular diagnostics or pharmaceutical industry experience preferred.
  • Strong knowledge of theoretical and applied statistics.
  • Proven track record of success in leading large-scale clinical trials as biostatistician.
  • Outstanding verbal, writing, and presentation skills with a strong ability to influence and communicate effectively throughout all levels of the organization and externally.
  • Demonstrated success leading the statistical portion of a clinical development program in the industry.
  • Knowledge of applicable regulatory rules and guidelines, e.g., ICH, GCP, HIPAA.
  • Experience programming in R or SAS.
  • Strong team player with a demonstrated track record of success in the cross­-functional team environment.
  • Experience with machine learning techniques is a plus
  • Experience with genomic data analysis is a plus.

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, research, consideration of business implications, and advice from internal and external experts, GRAIL has made the decision to require all U.S. employees receive the COVID-19 vaccines as a condition of employment. “Full vaccination” is defined as two weeks after both doses of a two-dose vaccine or two weeks since a single-dose vaccine has been administered. 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.