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Statistician

This role is for a Statistician with 1-4 years of statistical programming experience, preferably in molecular diagnostics. Contract length is unspecified, with a pay rate of "unknown." Key skills include strong R programming, statistical analysis, and documentation.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
600
🗓️ - Date discovered
February 16, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Unknown
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
San Francisco Bay Area
🧠 - Skills detailed
#R #Statistics #Programming #Data Science #ML (Machine Learning) #GCP (Google Cloud Platform) #SAP #Computer Science #Documentation
Role description
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About the Company - A technology research company that focuses on research surrounding early cancer detection. 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 overcome one of medicine’s greatest challenges Developing solutions to help accelerate cancer diagnoses, blood-based detection for minimal residual disease, and other post-diagnostic applications.

KEY SKILLS:

STRONG R PROGRAMMING SKILLS REQUIRED

DEVELOPING PROGRAMMING CODE LIBRARY

STATISTICAL ANALYSIS PLAN

TFL

Description Summary

This role is part of the Clinical Biostatistics group within the Research organization. The 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 Company’s clinical studies.

Responsibilities
• Provide statistical programming support to pre-defined and exploratory analysis, formal reports, publications, presentations, and new statistical methodologies
• Work closely with biostatisticians to review the statistical analysis plan (SAP), and create data and analysis program specifications based on the SAP and shells for Tables, Figures, Listings
• 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
• Work with data scientists closely on machine learning projects, as applicable
• Stay abreast of industry developments in the Statistical Programming field and apply appropriate systems and processes

Requirements
• 1-4 years statistical programming experience in academia or industry. Molecular diagnostics industry experience preferred
• B.S. or M.S in Statistics or related field
• Proficient in R
• 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