Research Data Management Specialist 2
Penn State University
- University Park Campus
- Date Announced:
- Date Closing:
- open until filled
- Job Number:
- Level/Salary Band:
- 02 – H – Exempt
- Work Unit:
- College of Health and Human Development
- Edna Bennett Pierce Prevention Research Center
- Full/Part Time:
The Penn State Administrative Data Accelerator (http://accelerator.psu.edu/) housed within the Edna Bennett Pierce Prevention Research Center, is seeking a talented Research Data Management Specialist to join our innovative team. The focus of the Data Accelerator is to acquire and link complex administrative datasets across multiple disciplines to generate research that informs policy. Administrative datasets for this work will mostly come from the child welfare system, healthcare, education, and criminal justice sources, but may include other state and federal level datasets. The Research Data Management Specialist will manage multiple datasets and corresponding documentation, visualize data, and work closely with the analytic team to prepare custom datasets for research projects. This position is also responsible for working with College level IT support to ensure the security and confidentiality of all data, maintaining all codebooks and data summary sheets, and communication with researchers who wish to access data. This is an excellent opportunity for individuals who are interested in joining an interdisciplinary research team that seeks to inform public policy and improve lives. Typically requires a Bachelor's degree or higher plus two years of related experience, or an equivalent combination of education and experience. Qualified individuals will have a B.S. in information science, statistics or social, behavioral, or health sciences with proven analytic skills, and relevant work experience with complex data and databases and/or research support. A Master's degree is preferred. Ideal candidates should be skilled in data management/processing (e.g., automation, mining, wrangling, scraping, and warehousing) have familiarity with probabilistic and deterministic matching, and excellent written and verbal communication skills. Successful candidates will demonstrate the ability to interface and communicate with other analysts, managers/coordinators, and researchers to extract and transform data from a variety of sources. Experience with different programming languages (e.g., Python, SQL, R) and statistical software (e.g., SAS, STATA) is essential. Excellent organizational and communication skills, as well as the ability to prioritize tasks, are critical for this position. The successful candidate will have a demonstrated ability to maintain high standards of accuracy, timeliness, and professionalism. This is a fixed-term appointment funded for one year from date of hire with excellent possibility of re-funding.
These salary bands have been established to provide salary guidelines for staff positions.