NCCT/CTMC Biostatistician III

Overview

JOB SUMMARY

The National Center for Clinical Trials (NCCT) is designed to serve as an innovative platform to revolutionize and catalyze the conduct of clinical trials−greatly accelerating the translation of scientific findings into improvements in the prevention, diagnosis, and treatment of disease for our communities and patients. The NCCT will offer core services for patient recruitment and enrollment, trial administration and follow-up, and to gather real world data and evidence.

The Clinical Trial Methods Center (CTMC) has been established within the Wake Forest University School of Medicine to provide the necessary tools and expertise that the NCCT will access and apply to deliver many of its core services. 

This position will be part of the Real-World Advocate DAta for Research (RADAR) team within the CTMC that focuses on the development of real-world electronic health record (EHR) longitudinal datasets, registries, the incorporation of external data, and contribution to active cohort development.

The Biostatistician III collaborates with biomedical researcher in designing, implementing, and publishing results from biomedical research projects and assume primary responsibility for writing statistical design, methods, and analysis for research proposals.

EDUCATION/EXPERIENCE

Master’s Degree in biostatistics or statistics with 3 years of experience working in a biomedical environment. 

ESSENTIAL FUNCTIONS

1. Collaborate with biomedical investigators and assist in developing objectives, designing sampling, randomization and data collection procedures to achieve study objectives.
2. Write statistical computer programs and review computer output for consistency and quality; analyze data and prepare tables for interim and final reports.
3. Develop and implement new innovative procedures in the areas of data collection, quality control, presentation of results, and statistical analyses.
4. Supervise the work of Biostatisticians I, II and Analyst/Programmers serving on the same projects.
5. Performs other related duties incidental to the work described herein.

SKILLS/QUALIFICATIONS

• Experience in analyzing large databases, ideally electronic health record data or administrative claims, using statistical packages such as SAS, R, SQL, or Python.
• Ability to organize data and communicate statistical concepts to non-statisticians
• Ability to write statistical considerations for proposals and papers