Full-Time
Statistician
Alimentiv
Compensation Overview
$86k - $143k/yr
Boston, MA, USA
Remote
Category
 Biology & Biotech (2) |
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Required Skills
Python
SAS
R
SQL
biostatistics
Stata
Data Analysis
Requirements
- The candidate must hold a minimum of an undergraduate degree with professional certifications and four to six years of professional experience.
- Very strong communication skills are required.
Responsibilities
- Carry out statistical analyses and provide direction to programmers, using standard software packages to interpret and translate results within a statistical framework into biomedical terms and prepare statistical data results for inclusion in reports and research papers that meet trial, organizational and regulatory best practices, and standards.
- Work in conjunction with the Director of Academic Research to convert and present new and novel biometrical trial technologies, processes and findings into publishable and promotable scientific processes and results.
- Provide statistical expertise and guidance based on established methodologies throughout the project life cycle in the areas of study policies, protocols, implementation timelines and processes, data interpretation and publication of results; work with the data management team to ensure data captured incorporates and corresponds to project protocols and requirements.
- Prepare statistical analysis plan and oversee project data collection, management, and analysis with input from the project teams that incorporates the type of information collected, sample size, randomization procedures, table and listing shells, project statistical policies, protocols, and methodology to be used to appropriately translate scientific questions into statistical hypotheses.
- Assist medical director(s) and/or technical writers by preparing statistical section of study report, publications and/or presentations ensuring statistical analyses adheres to trial, sponsor, organizational and regulatory requirements, and best practices.
Desired Qualifications
- Masters' degree in Statistics or Biostatistics specialty is preferred.
- PhD with experience in research is a strong asset.
- Experience in the industry, or in an academic setting is preferred.