Bioinformatics Training and Research Coordinator

Job Summary

The Department of Pathology in collaboration with MAGIC (Microbiota And Gastrointestinal Immunology Consortium) has an exciting opening for a part‑time Bioinformatics Training and Research Coordinator who will:

• Develop and maintain consistent statistical and bioinformatics training standards and integrity across training modules; assist in design, modeling, and interpretation of data for educational and programmatic outcomes.
• Assist with Summer Intensive in Microbial Bioinformatics, providing instruction and mentorship in R, Python, and command-line tools for microbiome and metagenomic analysis.
• Collaborate with faculty, staff, and industry partners (e.g., ARUP Laboratories, Canyon Labs, Curza Inc.) to develop and deliver interdisciplinary modules in bioinformatics, microbiology, immunology, and data science.
• Facilitate communication between trainees, mentors, and industry partners to coordinate experiential learning, clinical shadowing, and capstone projects.
• Coordinate operational aspects of the Microboost Program, including curriculum implementation, trainee recruitment, and progress evaluation.
• Generate progress reports, summaries, and evaluation metrics for internal and external stakeholders, including Talent Ready Utah and the Life Sciences Industry Advisory Board.
• Support proposal preparation, grant documentation, budgeting, and compliance to sustain and expand the program.

As a Research Informaticist, the role may involve high‑throughput data analysis or statistical modeling at varying levels of independence based on job level (P1–P4).

• P1:
  Conducts work assignments as directed. Closely supervised with little latitude for independent judgment. Requires a bachelor's (or equivalency) + 2 years of directly related work experience or a master's (or equivalency) degree.
• P2:
  May be involved in high‑throughput data analysis or statistical modeling. Requires moderate skill set and proficiency in discipline. Conducts work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment. Requires a bachelor's (or equivalency) + 4 years or a master's (or equivalency) + 2 years of directly related work experience.
• P3:
  May be involved in high‑throughput data analysis or statistical modeling. Considered highly skilled and proficient in discipline. Conducts complex, important work under minimal supervision and with wide latitude for independent judgment. Requires a bachelor's (or equivalency) + 6 years or a master's (or equivalency) + 4 years of directly related work experience.
• P4:
  May be involved in high‑throughput data analysis or statistical modeling. Recognized as subject matter expert and advanced individual contributor professional. Requires specialized skill set. Conducts highly complex work, unsupervised and with extensive latitude for independent judgment. Requires a bachelor's (or equivalency) + 8 years or a master's (or equivalency) + 6 years of directly related work experience.

Equivalency Statement: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor's degree = 4 years of directly related work experience).

• Research Informaticist, I:
  Requires a bachelor's (or equivalency) + 2 years of directly related work experience or a master's (or equivalency) degree.
• Research Informaticist, II:
  Requires a bachelor's (or equivalency) + 4 years or a master's (or equivalency) + 2 years of directly related work experience.
• Research Informaticist, III:
  Requires a bachelor's (or equivalency) + 6 years or a master's (or equivalency) + 4 years of directly related work experience.
• Research Informaticist, IV:
  Requires a bachelor's (or equivalency) + 8 years or a master's (or equivalency) + 6 years of directly related work experience.

• Master's degree (or higher) in microbiology, bioinformatics, biostatistics, biomedical sciences, or a related field.
• Demonstrated experience in research program coordination, curriculum development, or scientific training.
• Proficiency in bioinformatics and statistical programming languages (e.g., R, Python).
• Strong organizational, communication, and interpersonal skills with an ability to work collaboratively across academic and industry settings.
• Familiarity with microbiome or translational research preferred but not necessary.

Interested candidates should submit Cover Letter and CV containing contact information for three references along with an online application.

Full Time or Part Time? Part Time
Work Schedule

Summary:

Monday – Friday, 19 hours per week.
Pay Rate Range: $16 - $56/ hour

Location:

Campus
Close Date: 3/29/2026