Staff Biostatistician

The Department of Public Health Sciences is currently seeking two Staff Biostatisticians. The incumbent collaborates with research faculty members in the Division of Biostatistics, as well as other investigators in the School of Medicine, on multiple clinical and basic science research projects. The biostatistician designs and performs reproducible statistical analyses, writes technical reports and interprets study results. The incumbent collaborates and supports research projects, providing status reports, and research publication and grant proposal support.

Biostatisticians collaborate with biomedical researchers in designing and implementing research projects and publishing results. They write statistical design, methods, and analysis for research proposals. They collaborate with biomedical investigators to develop objectives and design sampling, randomization, and data collection procedures to achieve study objectives. They assume lead roles in research projects by serving on committees, supervising project personnel, coordinating quality control efforts, and serving on writing teams. Biostatisticians may supervise junior professionals and other staff.

Job Description

• Write statistical computer programs.
• Review computer output for consistency and quality.
• Analyze data and prepare tables for interim and final reports.
• Design tables and statistical procedures for specific research studies.
• Write results sections of reports and publications.
• Develop statistical designs and planned analyses for research grant proposals.
• Develop and implement new innovative procedures in the areas of data collection, quality control, presentation of results, and statistical analyses.
• In addition to the above job responsibilities, other duties may be assigned.

Qualifications:

• Master's degree in statistics, biostatistics, or a related quantitative field by appointment start date
• One-to-four years biostatistical application experience. Experience gained as a student will be considered.
• Programming experience in R, SAS, and REDCap required.
• Experience with Stata, Matlab, LaTeX and/or Markdown is preferred.

The selected applicant will be required to complete a background check and health assessment.

TO APPLY :

Complete an application online and attach:

• Cover letter to include your interest in the position and your knowledge, skills, abilities, and experiences
• Resume or CV

PROCESS FOR INTERNAL UVA APPLICANTS: Please apply through your Workday Home page, search “Find Jobs”, and search for “R0033421".

PROCESS FOR EXTERNAL APPLICANTS: Please visit UVA job board: https://uva.wd1.myworkdayjobs.com/UVAJobs and search for “R0033421”

***Please note that you MUST upload ALL documents into the CV/Resume box. Applications that do not contain all of the required documents will not receive full consideration. ***

For questions about the application process, please contact Rhiannon O’Coin, Senior Academic Recruiter, rmo2r@virginia.edu

For more information about UVA and the Charlottesville community please see www.virginia.edu/life/charlottesville and https://embarkcva.com/

PHYSICAL DEMANDS

This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require walking some distance to attend meetings, and programs.

COVID Vaccination Requirement and Guidelines

Please visitthe UVA COVID-19 Job Requirements and Guidelines webpageprior to applying for current information regarding vaccination requirementsandguidelines for employment at UVA.

The University of Virginia, i ncluding the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.