Our mission is to detect cancer early, when it can be cured. We are working to change the trajectory of cancer mortality and bring stakeholders together to adopt innovative, safe, and effective technologies that can transform cancer care.
We are a healthcare company, pioneering new technologies to advance early cancer detection. We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicine’s greatest challenges.
GRAIL is headquartered in Menlo Park, California, 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 grail.com.
This role is part of the Clinical Biostatistics group within the Clinical Development organization at GRAIL. The Staff or Senior Statistical Analyst contributes to the analysis of clinical study data through their statistical programming expertise. This individual will develop programs for and maintain complete and auditable documentation of the analysis of GRAIL’s clinical studies.
Responsibilities:
- Provide statistical programming support to pre-defined and exploratory analysis, formal reports, publications, presentations, and new statistical methodologies
- Manage the timeline and deliverables of the analysis dataset and Tables, Figures and Listings (TFL) development
- Work closely with biostatisticians to review the statistical analysis plan (SAP), and create data and analysis program specifications based on the SAP and TFL shells
- Maintain complete and auditable programming documentation for analysis of clinical studies
- Contribute to the development, documentation and maintenance of a reusable programming code library
- Serve as a member of clinical study teamsStay abreast of industry developments in the Statistical Programming field and apply to appropriate systems and processes
Preferred Qualifications:
- 5+ years statistical programming experience in academia or industry.1-4 years of experience will be considered for senior level
- Strong project management skills to lead statistical programming deliverables
- B.S. or M.S in Statistics or related field
- Proficient in R or SAS or Python (R is strongly preferred)
- Knowledge of applicable regulatory rules and guidelines, e.g., ICH, GCP, HIPAA
- Ability to work independently on multiple concurrent projects in a fast-paced environment
- Strong team player with demonstrated track record of success in cross-functional team environment
The expected, full-time, annual base pay scale for this position is $163,000 - 204,000 for Menlo Park, CA. 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 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.
GRAIL Menlo Park, California, USA Office
GRAIL is headquartered in Menlo Park, California, with locations in Washington, D.C., North Carolina, and the United Kingdom. We also have a number of employees who are working remotely. Our bay area office has a employees working in our labs, software engineering, clinical development and more.
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