University of Virginia Hiring for Statistical Programmer, Department of Public Health Sciences at Charlottesville, VA Full Time

The Division of Translational Research and Applied Statistics in the Department of Public Health Sciences at the University of Virginia (UVA) is a dynamic team of 3 faculty members and 2 staff statisticians, currently seeking a statistical programmer.

This statistical programmer will work with division members and clinical collaborators on a variety of projects including clinical trials, a cystic fibrosis data core, and clinical related research projects. The statistical programmer will have opportunities to work in a “public health” setting with the intention to improve patient care. Responsibilities include writing and maintaining computer programs for multiple projects and reports, developing project databases, and attending project meetings. This position requires on-site work.

The successful candidate will be expected to:

• Write, modify, maintain, and validate computer programs for project reports.

• Review and update statistical analysis plans to ensure accuracy.

• Run systematic reports for clinical trials and data core.

• Develop analysis datasets using data from electronic data capture systems and registry data systems.

• Develop and maintain REDCap databases.

• Work alongside other staff to ensure quality control on various projects.

• Attend division and project meetings.

• In addition to the responsibilities listed above, other job responsibilities may be assigned.

Minimum Qualifications:

• Bachelor’s degree in Computer Science, MIS, Computer Engineering or related discipline

• At least one year of experience. Relevant experience may be considered in lieu of a degree.

Preferred Qualifications:

• Exhibit excellent communication and collaborative team skills.

• Programming experience in R or SAS is required.

• Experience with developing databases in REDCap is preferred.

Physical Demands:

This position is located in Charlottesville, VA

This position is a restricted position and is dependent upon project need, availability of funding and performance. This is an Exempt level, benefited position. For more information on the benefits at UVA, visit hr.virginia.edu/benefits.

This position will remain open until filled. The University will perform background checks on all new hires prior to employment. A completed pre-employment health screen is required for this position prior to employment.

References will be completed via UVA’s standardized process Skill Survey. A total of five references will be requested via SkillSurvey during the final phase of the interview process.

To Apply:

Please apply through Workday, and search for R0051964.

Internal applicants must apply through their UVA Workday profile by searching ‘Find Jobs’.

Complete an application online with the following documents:

• CV

• Cover letter

Upload all materials into the resume submission field, multiple documents can be submitted into this one field. Alternatively, merge all documents into one PDF for submission. Applications that do not contain all required documents will not receive full consideration.

For questions about the application process, please contact Yelena Markazyan, Academic Recruiter at [email protected]

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

The University of Virginia, including 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.