Manager, Statistics

Role Summary

Manager, Statistics. Focused on providing statistical leadership and support within research & development, contributing to design, analysis, and reporting of clinical trials and scientific research studies. Act as lead statistician on trial design and protocol development, and develop detailed statistical analysis plans for programming implementation.

Responsibilities

• Work independently to provide statistical support to research & development organization.
• Contribute to design, analysis, and reporting of clinical trials or other scientific research studies.
• Act as lead statistician on clinical trial design and protocol development.
• Develop statistical analysis plans with details for programming implementation.
• Define and implement sound statistical methodology in scientific investigations, utilizing experience with missing data, multiple imputation, and mixed-effects models for repeated measures.
• Identify scientifically appropriate data collection instruments.
• Identify and report data issues or violations.
• Provide programming algorithms for derived variables and analysis datasets.

Qualifications

Education & Experience

• Must have a PhD in Statistics, Biostatistics, Public Health, or related field and 2 years of academic or industry experience in the following:
• Using SAS, R, and other statistical software;
• Applying and implementing statistical methods in clinical trials;
• Performing statistical computations, simulations, and utilizing statistical methodologies for study design including sample size determination and analysis, and statistical inference including missing data imputation on various endpoints;
• Using regression analysis, multivariate analysis, design and analysis of experiments, categorical data analysis, linear models and statistical inference including Bayesian and survival analysis in clinical trials;
• Conducting clinical trial designs, protocol development, statistical analysis plan, database activities, and scientific review and interpretation of clinical trials‚Äô results.

Skills

• Statistical software (SAS, R)
• Clinical trial design and analysis
• Missing data handling, multiple imputation
• Mixed-effects models, Bayesian and survival analysis
• Programming for derived variables and analysis datasets

Education

• PhD in Statistics, Biostatistics, Public Health, or related field

Additional Requirements

• Hybrid, 3 days in office/2 days work-from-home