In collaboration with the Educational
Measurement Unit and GME teams, you will provide support for the
planning and implementation of all GME evaluations and surveys, including the
design, deployment, and analysis of current and new instruments. You will provide measurement expertise to training program leadership in consideration
of the ACGME requirements and milestones. You will also provide training SUPPORT
for program staff on use of the MedHub residency management system for creating
evaluations, reports and other functions relevant to ensuring the validity of
As our GME Data Analyst, you must have the
ability to work independently and with a team; ability to build, analyze,
synthesize, interpret and report on complex psychometric instruments across a
variety of settings and stakeholders (e.g., Dean, GME Committee, program and
departmental leadership); collaborate with other offices to obtain information
and data needed for evaluation and quality improvement functions. You also must possess excellent communication and presentation skills, as effective
communication and trust development with faculty, staff, and trainees at DGSOM
and affiliate training sites is integral to driving data-informed change.
- Ability to conduct data
analysis and survey research in an applied setting.
- Proficiency in writing,
editing, and proofreading to produce reports and data analysis, and to compose
and edit information and correspondence.
- Skill in establishing,
building and maintaining positive and cooperative working relationships with
project stakeholders and colleagues, including diverse body of students, staff,
faculty, and community members.
- A Bachelor’s degree in data
science, psychology, higher education, policy analysis, analytics, statistics,
or related fields strongly preferred
- Training and experience in statistical research methods
and data analysis.
- Experience preparing and
presenting data insights and making data-driven recommendations to senior
leadership that will drive institutional change; skill in presenting
information to large and small, technical and non-technical audiences.
- Ability to work with a high
degree of autonomy, organize multifaceted projects and develop accurate
timelines for completion, and to work effectively with conflicting demands and changing
priorities. Skill in managing complex tasks with occasional interruptions and
distractions. Ability to work with incomplete information.
- Experience in using R, SPSS,
or another statistical software, for descriptive and inferential statistics.
- Advanced technical literacy
in the Microsoft environment, including Access, Word, Excel, PowerPoint, and
- Experience with data visualization
- Advanced knowledge and experience using Tableau or other
software for data visualization and reporting.
- Aptitude for story-telling and
creative display and presentation of data.
- Subject matter expertise in ACGME institutional
and common program requirements.
- Experience with MedHub or other
residency management software platforms for report creation
UCLA is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.