Data Management Jobs in Rio Rancho, NM (NOW HIRING)

The Program Evaluation, Education, and Research (PEAR) unit, within the Department of Undergraduate Medical Education (UME), is seeking a qualified candidate to serve as Data Manager. The PEAR unit provides a range of evaluation services within UME, which administers and oversees the four-year medical school curriculum for roughly four hundred students.

Evaluation and related services include:

• Administering end-of-course evaluations and longitudinal surveys.
• Tracking students' grades and performance on the USMLE licensing exams.
• Producing an annual Location Report.

The Location Report provides a snapshot of School of Medicine (SOM) graduates who practiced medicine in New Mexico during the previous calendar year.

The Data Manager will be tasked with:

• Managing, administering, and reporting on end-of-course evaluations and/or other evaluation instruments.
• Facilitating course review processes.
• Collecting, cleaning, aggregating, analyzing, and reporting data for the Location Report.
• Producing the Location Report in both printed and digital formats.
• Distributing the Location Report to UNM stakeholders within UNM.
• Presenting on evaluation findings, the Location Report, and/or associated processes.
• Other duties as assigned.

The successful candidate must have a demonstrated record of taking initiative and achieving desirable results on current and/or past work projects. The candidate should be motivated, tenacious, and organized; they must have the skills and abilities to manage multiple projects, tasks, and timelines concurrently. The candidate must be effective at working independently and collaborating with other team members as well as faculty, staff, and students within UNM, as well as representatives of other institutions as necessary.

The candidate should be a critical thinker who can consider other people's points of view with clarity and empathy, assess the costs and benefits of various approaches to problem-solving and interpersonal communications, identify stakeholder needs, and propose creative and flexible solutions to challenges.

The candidate must have excellent spoken and written communication skills and a willingness to brief team members, the PEAR Director, administrators, and stakeholders regarding the status of various projects. The candidate must be detail-oriented and thorough in completing work tasks and willing to reflect on their actions to build on successes and learn from mistakes.

• Produce the Location Report annually.
  • Request data from multiple UNM offices and outside organizations.
  • Format and clean the data, including implementing solutions to address incomplete and/or incompatible data sets.
  • Maintain and update lists through a complex series of queries to determine which graduates are working independently as a physician at a New Mexico practice location. This process includes using and cross-referencing data from the New Mexico Medical Board, Graduate Medical Education (GME), National Provider Index Registry, and the National Board of Medical Specialties. The Data Manager will create three mutually exclusive data sets: UME-only, GME-only, or UME-and-GME.
  • Aggregate and analyze data using existing queries and/or writing new ones.
  • Collaborate with PEAR staff and/or graphic designers to lay out report components, create graphics, comply with UNM branding directives, and edit proofs iteratively.
  • Distribute digital and physical copies of the Location Report to stakeholders.
  • Respond to inquiries about the report (e.g., methods, scope, key findings) and fulfill additional data requests as necessary.
• Manage and administer end-of-course evaluations.
  • Communicate with administrative committees and course directors regarding evaluation content and administration.
  • Set up evaluations and post them; inform students of posted evaluations and due dates, sending reminders as necessary.
  • Run reports and review them before distributing them to stakeholders, including course directors, administrators, and select staff members.
  • Maintain confidentiality of records and information.
  • Track evaluation outcomes over time.
• Participate in course review processes by:
  • Reviewing quantitative data.
  • Coding and summarizing qualitative data.
  • Drafting summary findings in collaboration with faculty, students, and/or staff reviewers.