Biostatistician Jobs

Company Name: PPD Development, L.P.

Position Title: Biostatistician

Location: 929 North Front Street, Wilmington, NC 28401

Summary of Duties: May act as a lead statistician with mentorship from senior staff to deliver the project statistician tasks/responsibilities, including analysis database creation, statistical analyses, and creation of statistical tables, listings and figures, and takes lead for specific tasks under close supervision. Support lead statistician on very large, complex studies. Become familiar with the activities outlined in the department's SOPs. Learn and follow departmental procedures for statistical analyses and programming work. Lead a project team. Conduct team meetings, maintain project timelines, assess resources needed, provide resources, and prepare the budget. Ensure that SOPs are being followed and that appropriate project documentation is ongoing. Interact with the sponsor on all aspects of the project with oversight from a senior team member. Coordinate with programmers and data management personnel as to database maintenance, updating and documentation. Provide guidance for database structures for analysis. Create or provide specifications for analysis databases. Provide randomization schemes and appropriate documentation. Develop statistical analysis plan, including table and listing specifications, and guide others on the team in its implementation. Program/validate statistical tables with an emphasis on efficacy endpoints. Provide proper documentation and oversee the work of others who assist in programming/validating. Monitor project budget as it relates to project work scope and communicate proactively with management concerning potential changes in work scope. Duties may be performed remotely.

Qualifications: Master’s degree in Statistics, Biostatistics, Applied Statistics, Mathematics, or related field, and one (1) year of experience as a Statistical Programmer, Research Assistant, Biostatistician, Statistician, Biostatistics Intern, or related role. One (1) experience with: Statistical programming language, SAS or R; Statistical principles and methodology; Principles of statistical inference, including hypothesis testing and deriving estimates; Parametric models and techniques; Non-parametric modeling techniques; Principles of sample size calculations needed for comparing two samples; and Principles of design of experiments in introducing conditions designed to affect an outcome of interest.