Research Specialist

Job description

Job location: Charlottesville, VA

Employment Type: Full-time
Posted data: 2021-04-05
Req: R0023087
The Social & Decision Analytics Division (SDAD) of the Biocomplexity Institute and initiative (BII) at the University of Virginia seeks a Research Specialist to provide data analysis and research support to our collaborative, team-science oriented group.

The Biocomplexity Institute and initiative performs world-class informatics research in life sciences, social sciences, and human health by integrating theory, modeling and simulation with computational and experimental science in a transdisciplinary, team science research environment. Within the institute, the Social & Decision Analytics Division combines expertise in statistics and social and behavioral sciences to develop evidence-based research and quantitative methods to inform policy decision-making and evaluation. The researchers at SDAD span many disciplines including statistics, economics, sociology, psychology, political science, policy, health IT, public health, program evaluation, and data science.

The position will be located in BII's location in Arlington, VA. Due to the current conditions as a result of COVID-19, this position has the potential to begin on a teleworking basis with the expectation to work onsite when it is deemed safe to do so.

Responsibilities Include:

  • Performing detailed data acquisition and preparation.
  • Supporting data analysis development and execution.
  • Assisting with software/user interface development to support researchers and research dissemination.
  • Help authoring materials for publication and presentation.

Required Qualifications:

  • Bachelor’s degree
  • Experience with programming languages such at R, Phyton, QGIS, ArcGIS, Tableau
  • Experience with data cleaning procedures and preparing datasets for analysis
  • Excellent communication skills, both oral and written
  • Be motivated, enthusiastic, and self-driven.
  • Ability to excel in a highly collaborative team science environment.

Preference will be given to those applicants with:

  • Research assistant experience
  • Experience with quantitative policy analysis

To apply, complete an application online through Workday and attach the following:

  • CV
  • Cover Letter
  • List of three (3) professional references

***Please note that you MUST upload multiple documents into the CV/Resume box. Applications that do not contain all the required documents will not receive full consideration.*** Process for External Applicants: Please apply through Workday, and search for 'R0023087. Process for Internal UVA Applicants: Please apply through your Workday Home page, search “Find Jobs,” and search for ‘R0023087.’ Review of applications is ongoing and will continue until the positions are filled.

To learn more about SDAD and BII, please visit us at

All roles within the institute are restricted positions and are dependent upon project need, availability of funding, and performance. These are one-year appointments; however, appointments may be renewed for an additional two, one-year increments, contingent upon satisfactory performance, the continued available funding and business need.

Questions related to the positions may be directed to Savanna Galambos, Special Assistant for Administrative Affairs, Questions regarding the application process should be directed to Michele Jarman, Recruiter,


The University will perform background checks on all new hires prior to employment. This position also requires an Education Verification (FSAKA).

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.




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Job No:
Posted: 4/7/2021
Application Due: 7/6/2021
Work Type: Full Time