The integrated Translational Health Research Institute of Virginia (iTHRIV) at the University of Virginia seeks an iTHRIV Data Engineer to work with iTHRIV Informatics and Analytics Concierge Services to assist health researchers asking analytical questions of complex clinical and research datasets. They design sophisticated custom data management and analysis workflows to support University translational research projects. They design data collection, harmonization, cleaning, and organization, and plan for an integrated data flow for analytics pipelines. They train research data scientists, student workers, and volunteers in the use of iTHRIV informatics tools. The iTHRIV Analytics Concierge Services supports diversity, equity, and inclusion (“Inclusive Excellence”) internally and in customer-facing interactions. Understand all phases of the analytic process including data collection, preparation, modeling, evaluation, and deployment. Explore and examine data from multiple disparate sources and design a plan for harmonization. Establish links across existing data sources and find new, interesting data correlations. Encourage inclusion of health equity variables in iTHRIV supported analyses. Stay apprised of all assigned initiatives, providing reporting and analytics that will allow the researchers to design informed, data-driven data science models. Visualize and report data findings creatively in a variety of visual formats that appropriately provides insights to the stakeholders. Under general supervision, formulates and defines analytic scope and objectives through research and fact-finding. Develop documentation and training materials around data sources and available iTHRIV and CTSA analytics tools, platforms, and services, particularly pertaining to clinical informatics. Assist with architecting systems that establish links across existing clinical and research data sources. Consults with research teams to help formulate or clarify analytic scope and objectives for specific University research projects. In addition to the above job responsibilities, other duties may be assigned.
MINIMUM REQUIREMENTS Education: Master’s Degree Experience: Three years of relevant experience. Preferred Qualifications: Experience in clinical data collection or in a clinical setting. Experience in clinical informatics. Programming knowledge in Python, SQL, R. Degree in computer science, systems engineering, or data science. PHYSICAL DEMANDS This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs. This is a restricted position and is dependent upon project need, availability of funding and performance. For more information on the benefits at UVA, visit . 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. This position will not sponsor applicants for work Visas. TO APPLY Please apply through Careers at UVA , and search for R0057945. Internal applicants must apply through their UVA Workday profile by searching ‘Find Jobs’. Complete an application online with the following documents: CV or Resume Cover letter Applications that do not contain all required documents will not receive full consideration. References will be completed via UVA’s standardized process Skill Survey during the final phase of the interview process. For questions about the application process, please contact Jeremy Brofft, Senior Recruiting Specialist at . For more information about UVA and the Charlottesville community please see and . 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.
Data Analyst data-management Data Science Python Computer Science R data-collections data-visualization Google Dataflow data-modeling System Architect SQL data cleansing Systems Engineering