Research Data Analyst

The Department of Emergency Medicine at the University of Virginia (UVA) is seeking a Data Science Research Assistant to support data analysis and research efforts in emergency medicine, artificial intelligence, and digital health. This position is ideal for a master's-level graduate or advanced undergraduate in Data Science, Biomedical Informatics, Computer Science, or a related field who is looking for hands-on experience in healthcare data analysis, machine learning, and translational AI research.

The successful candidate will work alongside faculty, clinicians, and researchers to analyze clinical data, develop predictive models, and support research projects that aim to improve patient care, operational efficiency, and clinical decision-making in emergency medicine.

Key Objectives

• Analyze clinical and operational data from sources such as electronic health records (EHR), research registries, and administrative databases.

• Support AI and machine learning research by developing and applying predictive modeling techniques.

• Translate complex data into actionable findings through statistical analysis, visualizations, and clear documentation.

• Contribute to academic research through manuscript support, figure generation, and data-driven storytelling.

• Collaborate with interdisciplinary teams to bring research concepts into real-world clinical applications.

Responsibilities:

Data Science & Analysis

• Clean, preprocess, and analyze structured and unstructured healthcare data using tools such as Python, R, and SQL.

• Apply statistical methods and machine learning models, including regression, classification, time-series analysis, and clustering.

• Visualize research findings using data visualization libraries or tools such as Tableau, Seaborn, Plotly, or ggplot2.

Research & Academic Support

• Assist with the design of studies, preparation of grants, and development of research protocols.

• Generate reproducible analysis workflows, figures, and summaries to support peer-reviewed publications and conference presentations.

• Conduct literature reviews and support evidence-based interpretation of data findings.

Collaboration & Learning

• Partner with faculty, clinicians, and AI researchers in a collaborative academic research setting.

• Contribute to ongoing efforts to improve healthcare delivery using real-time data insights and emerging digital health technologies.

• Stay current with developments in data science, clinical informatics, and healthcare analytics.

Qualified candidates must have a bachelor's. Preference will be given to candidates with a bachelor's degree in Sata Science, Biomedical Informatics, Computer Science, Statistics, Public Health, or a related technical discipline.

Preference will be given to candidates with relevant experience in data analysis and research support. Examples of such experience include proficiency in Python, R, and SQL for data processing; familiarity with libraries such as Pandas, NumPy, Scikit-learn, or Tidyverse; knowledge of statistical techniques and applied machine learning; and the ability to develop visualizations to support research and decision-making. Successful candidates must also demonstrate strong analytical and problem-solving skills, along with the ability to work both independently and collaboratively in a research-focused environment.

Candidates who have experience working with healthcare data (e.g., EHR systems like EPIC), familiarity with interoperability standards (FHIR, HL7), exposure to natural language processing (NLP), or prior experience supporting academic research and clinical decision-making tools is highly preferred.

Benefits & Opportunities:

• Gain real-world experience in software development for healthcare and AI-driven research.

• Work on impactful projects with faculty and clinical researchers at UVA, contributing to peer-reviewed publications and national conferences.

• Develop expertise in mobile and web app development, data visualization, and digital health solutions.

• Flexible working arrangements with mentorship and training opportunities.

If you are passionate about applying data science to solve real-world healthcare challenges, we encourage you to apply.

For additional information about the position, please contact Shannon Hughen-Giger, MHA, Chief Operating Officer at cwa6tr@uvahealth.org.

This position is located in Charlottesville, VA.

The anticipated start date is June 2025. 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. Review of Applicants will begin April 4, 2025.. This position will not sponsor applicants for work visas. 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.

To Apply:

Please apply through UVA job board and search for R0071115. 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.

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

For questions about the application process, please contact Bill Crane, Senior Academic Recruiter at xer5ff@virginia.edu .

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