As a UW employee, you have a unique opportunity to change lives on our campuses, in our state and around the world. UW employees offer their boundless energy, creative problem solving skills and dedication to build stronger minds and a healthier world.

UW faculty and staff also enjoy outstanding benefits, professional growth opportunities and unique resources in an environment noted for diversity, intellectual excitement, artistic pursuits and natural beauty. All of which has allowed the UW to be nationally recognized as a “Great College to Work For” for five consecutive years.

The Division of Allergy and Infectious Diseases has an outstanding opportunity for a full-time Research Data Analyst.

The Research Data Analyst will need to develop a deep understanding of each source-data structure, and have the intellectual dexterity to provide data management support (extraction, integration, validation) while collaborating with persons in a variety of fields: clinical informatics, data science, epidemiology and engineering. Ideal candidates should have had solid experience with healthcare data, and excellent programming skills with SQL. We are seeking someone who is excited about the opportunity of working in a “start-up” environment, and who has resourcefulness, independent problem solving, excellent time management skills, attention to detail and the ability to negotiate and communicate priorities.

The Department of Medicine is the largest department in the School of Medicine with over 4500 staff, faculty, trainees and students and an annual budget of approximately $425,000,000, consisting of clinical revenue, sponsored research funds, endowments and gifts, state funds and affiliated hospital funding associated with the academic programs within the department. The department is made up of thirteen sub-specialty divisions: Allergy and Infectious Disease, Cardiology, Dermatology, Gastroenterology, General Internal Medicine, Gerontology, Hematology, Medical Genetics, Metabolism, Endocrinology and Nutrition, Nephrology, Oncology, Pulmonary and Critical Care Medicine, and Rheumatology. These divisions occupy space at multiple sites including the University of Washington Medical Center (UWMC), Harborview Medical Center (HMC), Veterans Administration (VA), Seattle Cancer Care Alliance (SCCA), Fred Hutchinson Cancer Research Center (FHCRC), Eastside Specialty Center (ESC), Northwest Hospital (NWH), and other locations in the Seattle area. UW Medicine is a complex organization and this position will be a leader supporting the clinical enterprise, while interfacing with and advising varied stakeholders across the department and system using specialized revenue cycle knowledge and experience.

This position will consult with Department of Medicine Faculty, Fellows, Residents, and Students to query and generate complex data-sets used to further aid the research, clinical, and teaching missions of the department and university at large.

Duties & Responsibilities

This position provides executive level analysis and recommendations available to all Department of Medicine providers through the use of the Leaf Database. The data queries will be used to inform quality improvement initiatives and other clinical projects, at the direction of individual investigators. Specific responsibilities include:

Data Investigation and Analysis

  • Works with clinical informatics, epidemiology, data science and engineering to develop innovative solutions to abstract and integrate data in support of studies with large-scale healthcare data.
  • Consults with faculty, fellows, residents and students to interpret objectives and identify data needs.
  • Generates complex database queries and ad hoc reports to uncover clinical trends and insights with the objective of leading quality improvement initiatives and clinical decision making.
  • Suggests improvements to investigator data requests based on understanding of Leaf capabilities.
  • Organizes and presents data in a meaningful way, which can be utilized by the end user.
  • Validates final data product through coordination with investigator
  • Investigates and identifies data idiosyncrasies and fluctuations and makes recommendations that support goals and objectives.
  • Identifies data request trends as a means of suggesting use to other potential investigators.

    Collaboration with Leaf Team

  • Provide constructive feedback to UW Medicine Research IT and help refine data-abstraction tools (Leaf) that enable QI and observational research
  • Shares end user feedback to inform improvements
  • Resolves data discrepancies and database issues through coordination with Leaf team


  • Presents Leaf system to providers and staff as a means of sharing capabilities and suggesting opportunities for use
  • Shares data findings on individual data requests to demonstrate potential use

    Duties as assigned

    As a UW employee, you will enjoy generous benefits and work/life programs. For detailed information on Benefits for this position, click here.


  • Bachelor Degree in Bioinformatics or related field and 2-3 years experience

    Additional Requirements:
  • Experience with Microsoft SQL Server and Access.
  • Strong troubleshooting skills in working with complex server configurations.
  • Ability to adhere to institutional review board (IRB) regulations related to studies of human subjects.
  • Ability to work well cross functionally, especially with technical teams.
  • Demonstrated ability to maintain strict confidentiality of medical and surveillance records.
  • Excellent communication and documentation skills.
  • Highly self-directed and creative with interest in program growth and teamwork.

    Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.


  • Advanced training in computer or data science, programming or informatics.
  • Education in data science, health services research, health policy.
  • Experience with Epic, Cerner or other electronic health records systems.
  • Experience in healthcare or medical data management, and/or biomedical informatics.
  • Ability to perform statistical analysis using R, SAS or Stata.