GRAIL - Senior Statistical Analyst # 4622
RemoteSeniorNAClinical ResearchCloud ComputingSenior Data ScientistJunior AnalystSASPythonReportingGorillaGRR
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Requirements
- Minimum 4 years statistical programming experience in academia or industry is required.
- Experience in a similar industry as GRAIL is preferred.
- B.S. in Statistics or related fields.
- Proficient in R or Python or SAS
- 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
- M.S in Statistics or related fields preferred.
- Proficiency in R is strongly preferred.
- Knowledge of applicable regulatory rules and guidelines, e.g., ICH, GCP, HIPAA, is preferred.
- The expected, full-time, annual base pay scale for this position is $118K - $148K for Remote CA. Actual base pay will consider skills, experience, and location.
- This role may be eligible for other forms of compensation, including an annual bonus and/or incentives, subject to the terms of the applicable plans and Company discretion. This range reflects a good-faith estimate of the range that the Company reasonably expects to pay for the position upon hire; the actual compensation offered may vary depending on factors such as the candidate’s qualifications. Employees in this role are also eligible for GRAIL’s comprehensive and competitive benefits package, offered in accordance with our applicable plans and policies. This package currently includes flexible time-off or vacation; a 401(k) retirement plan with employer match; medical, dental, and vision coverage; and carefully selected mindfulness programs.
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 teams
- Stay abreast of industry developments in the Statistical Programming field and apply to appropriate systems and processes
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