Biostatistics & Bioinformatics

Biostatistics Consulting Services

The Biostatistics and Epidemiology Consulting Service (BECS) provides biostatistical and epidemiologic support to improve the quality of health-related research conducted at the George Washington University and by affiliated research groups.

The BECS Quick Clinic is a free resource for GW-based faculty, medical residents and fellows, and staff working with GW faculty.

Research programs such as the CTSI-CN and DC-CFAR also offer biostatistical services.

MFA Statistical Services: The GWU MFA provides statistical support to GW MFA-based investigators. Contact Rich Amdur at for more information.


Studies are typically built and managed using REDCap: The Research Electronic Data Capture (REDCap) application, and free training is available here.

CTSPedia: CTSPedia was created as a national effort to collect wisdom, tools, educational materials, and other items useful for clinical and translational researchers and to provide timely and useful advice to clinical and translational researchers with specific problems.

R Software: R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows, and MacOS.

An additional resource for R users to assist with programming, creating graphics, and understanding output is: DataCamp.

GW Information Technology Research Technology Services provides a number of research technology services for GW students, faculty, staff and community members. These services support computationally intensive research computing and are designed to enhance the university's research and education goals. Learn more about high-performance computing, research and service development, shared research infrastructure and regulated environments and data protection.

Courses and Workshops

GW Gelman Library Data Services offers support, training and consultations on statistical analyses, data management, GIS, social media to Work with Data and Support with Programming and Coding.

The Library also runs numerous workshops on research tools and skills, posted on their Events page.

NIH/ FAES offers a number of short-courses on coding, database, machine learning, bioinformatics and computational analysis listed in the NIH Complete Course Catalog.

Our scholars also recommend:

  • Stanford Machine Learning (online Coursera platform).
  • Computer Coding/Language: SQL, Tableau and advanced Excel (Online: General Assembly)
  • Introduction to R programming (Online: UDEMY)