Biostatistician; Research Scientist, Assistant, Associate, or Full Professor
Listed on 2026-08-31
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Research/Development
Academic, Medical Science, Research Scientist
Job Overview
The University of Nevada, Reno School of Medicine (UNR Med) seeks a doctoral-level Biostatistician (Research Scientist, Assistant, Associate, or Full Professor), non-tenure-track to serve as a faculty member within the Translational Research Center. This position will play a critical role in advancing the institution’s clinical, translational, and medical education research mission by providing expertise in study design, statistical analysis, and research methodology, while contributing to the education and mentorship of medical students, residents, and faculty investigators.
The successful candidate will integrate biostatistical rigor into clinical, translational, and medical education research initiatives, support student scholarship, and contribute to the delivery and continuous improvement of the biostatistics curriculum within the MD program.
Contribute to the design, delivery, and evaluation of biostatistics instruction within the MD curriculum, including pre-clerkship and clerkship phases
Participate in the Evidence and Systems-Based Practice (ESP) or equivalent curriculum thread
Develop teaching materials, case-based learning modules, and applied statistical exercises
Support integration of biostatistics into clinically relevant learning activities and assessments
Evaluate student performance and a contribute to curriculum improvement efforts
Research Collaboration and SupportProvide biostatistical expertise for clinical, translational and medical education research projects across department
Collaborate with clinical faculty to:
Design research protocols Develop statistical analysis plans Interpret findings for publication and presentation
Serve as a core resource for:
Study design and methodology consultation Data analysis and statistical modeling Facilitate manuscript and grant preparation
Partner with the Translational Research Center and affiliated research infrastructure to support investigator-initiated and sponsored studies
Collaborate with faculty on educational research and participate in journal clubs to support faculty professional development
Mentorship and Scholarly DevelopmentMentor medical students, residents, fellows, and junior faculty in research design and statistical analysis
Develop a longitudinal experience in incorporating evidence-based medicine for medical students throughout the clerkships
Support student scholarly concentrations, research projects, and capstone experiences
Provide guidance on:
Data analysis workflows Statistical interpretation Research dissemination (abstracts, posters, manuscripts)
Contribute to development of a sustainable research mentorship ecosystem
Independent and Collaborative ScholarshipMaintain an active program of scholarly activity in biostatistics, clinical research, or related areas
Contribute to peer-reviewed publications and external grant applications
Participate as a co-investigator or methodological expert on funded research projects
Present findings at regional and national scientific meetings
Institutional and Service ContributionsParticipate in academic and administrative committees related to research and education
Contribute to development of institutional research infrastructure and strategy
Support compliance with IRB, regulatory, and research governance processes
Engage in collaborative initiatives with Renown Health and other partner organizations
Required Qualifications- PhD, DrPH in Biostatistics, Statistics, Epidemiology, or closely related field OR Master’s trained with relevant experience working with a medical school.
- Demonstrated expertise in statistical methods relevant to clinical, translational or medical education research.
- Experience in collaborative research environments supporting clinicians in developing research projects.
- Strong communication skills, with the ability to explain statistical concepts to non-experts.
- Experience teaching biostatistics or epidemiology to medical or health professions students.
- Proficiency in statistical software (e.g., R, SAS, Stata, or equivalent).
- Track record of collaborative research.
- Experience mentoring trainees in…
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