Clinical Data Research Specialist
Working Title: Clinical Data Research Specialist
Position Type: University Managerial and Professional Staff
Department: Claude Moore Health Sciences Library
Posting Date: 02-22-2017
The UVa School of Medicine is looking for a Clinical Data Research Specialist in the Health Sciences Library. The position will be a member of the Health Sciences Library's Research and Data Services team providing data management services to support UVa Health System faculty, staff, and student research endeavors. The Clinical Data Research Specialist will collaborate with Library colleagues to stay aware of current and anticipated research data needs and develop and provide services to support UVA Health System clinical and translational researchers. The Specialist will also partner with multiple stakeholders to coordinate the provision of data-related services via pan-university initiatives such as the Translational Health Research Institute of Virginia, the UVa BioConnector, and other efforts on Grounds.
This position will support faculty, students, and researchers engaged in clinical and translational research by providing technical data consultations. To identify useful local, statewide, national, and international biomedical data sources and consult on acquisition, transfer, and storage. To provide guidance on using software, web applications, and relational databases for health related research for collecting, cleaning, and interpreting data.
The specialist will also develop and provide educational opportunities to support researchers at all proficiency levels, assessing needs, coordinate learning opportunities, and actively marketing content. The incumbent will develop a roster of workshops and online modules to provide hands-on training in technical data management, clinical statistics, and presentation, both leading these sessions and also recruiting appropriate instructors to provide content.
The candidate should have a Master's degree in Computer, Information, Data Science, or, academic discipline with quantitative research experience. The incumbent will also have proficiency in data analysis/statistical software, excellent communication skills, demonstrated flexibility with the ability to work independently and on teams, a desire to provide highly responsive user-centered services, organizational and problem-solving skills, and have interest in providing instruction (both formal and informal) to varying audiences and skill levels.
The successful candidate will be proficient in statistical software environment such as SPSS, SAS, etc.
Preference will be given to those who have a working knowledge of Information security as it pertains to data acquisition, curation, storage and retrieval, data authority, privileges and usage rights for data sets in the library and externally available, data sharing approaches and techniques for both internal and external sharing, and basic statistical concepts and methods.
This position is restricted and contingent upon the continuation of funding.
Applicants should complete a staff application through the Jobs@UVa website and provide a cover letter, resume, and a
list of three references. To apply visit jobs.virginia.edu and search for posting #0620418
Required Knowledge, Skills and Abilities:
- Excellent communication skills.
- Desire to provide highly responsive user-centered services.
- Proficiency with data analysis/statistical software.
- Interest in providing instruction, both formal and informal, to varying audiences and skill levels.
- Demonstrated organizational and problem-solving skills.
- Demonstrated flexibility and ability to work independently and on teams.
Working knowledge of:
- Information security as it pertains to data acquisition, curation, storage and retrieval
- Data authority, privileges and usage rights for data sets in the library and externally available
- Data sharing approaches and techniques for both internal and external sharing
- Basic statistical concepts and methods.
E-mail a Friend: jobs.virginia.edu/applicants/Central?quickFind=81205