The Center for Population Health Research (CPHR) at the University of Montana invites applications for a Research Scientist to join the Data and Modeling Core (DM Core).

The DM Core provides essential computational and statistical support for externally funded research projects across the university, with a focus on improving health outcomes through advanced analytics. This position is ideal for a scientist with deep expertise in statistical modeling and epidemiology who thrives in a collaborative, multidisciplinary environment.

The Research Scientist will be responsible for developing and implementing sophisticated statistical models to address complex questions in population health and ecology. This role requires a high degree of independence, advanced programming skills, and the ability to translate complex data into peer-reviewed publications and actionable health insights.

• Integrate empirical data, statistical algorithms, and predictive models to assess organismal or population-level responses to environmental and social determinants.
• Manage and analyze large, complex datasets (e.g., environmental data, electronic health records, or longitudinal surveys).
• Utilize UM’s Griz/Hellgate and CPHR DM Core clusters to process and analyze "big data" using optimized code.
• Serve as co-authors on peer-reviewed manuscripts; present findings at national and international conferences.
• Assist in research proposals and grant applications by designing study protocols and analytic plans.
• Work closely with interconnected teams across UM to provide modeling expertise.
• Work effectively in a team environment, communicate clearly with colleagues and stakeholders, and bring a positive, professional attitude to collaborative work.

• Bachelor’s degree in statistics, biostatistics, epidemiology, computational ecology, data science, or a closely related field.
• Expert-level skills in R (or similar), Python, or C++.
• Proven experience in spatial statistics, machine learning, or Bayesian inference.
• Familiarity with Linux-based cluster environments and cloud computing.
• Excellent technical writing skills.

Preferred Qualifications

• Graduate-level training in statistics, biostatistics, epidemiology, computational ecology, data science, or closely related field.
• Experience with GIS and the analysis of remotely sensed data (e.g., Google Earth Engine).
• Familiarity with public health data repositories.
• Experience mentoring graduate research assistants and training junior personnel in analytic workflows.

Position is full-time, 1.0 FTE, Letter of Appointment and includes a comprehensive and competitive benefits package including insurance package, mandatory retirement plan, partial tuition waiver, and wellness program. Options for remote or hybrid work may be considered.

Screening of applications will begin after the closing date; however, applications will continue to be accepted until an adequate applicant pool has been established. Complete applications received by the closing date will be guaranteed consideration.

To apply, please upload the following materials:

• Letter of Interest – addressing the stated required skills for the position
• Detailed resume listing education and describing work experience
• Three (3) professional references - Names and contact information

The University of Montana is interested in receiving applications from people who would assist the University in demonstrating its five priorities for action: Place student success at the center of all we do; drive excellence and innovation in teaching, learning, and research; embody the principle of “mission first, people always"; partner with place; and proudly tell the UM story.

The Affiliation of the University of Montana (UM Affiliation) is an equal opportunity employer. UM Affiliation does not discriminate against any applicant on the basis of protected class status as described in UM’s non-discrimination policy and any applicable law. Reasonable accommodations are provided in the hiring process for persons with disabilities. For example, this material is available in alternative format upon request. Qualified candidates may request veterans’ or disabilities preference in accordance with state law.

Criminal Background Investigation is required prior to the offer of employment. In accordance with university regulations, finalists for this position will be subject to criminal background investigations.

References: References not listed on the application materials may be contacted; notice may be provided to the applicant. UM partners with SkillSurvey for reference checking. Applicants may receive emails from SkillSurvey to submit reference information.

Testing: Individual hiring departments within the UM Affiliation may elect to administer pre-employment tests, which are relevant to essential job functions.

Employment Eligibility: All New Employees must be eligible and show employment eligibility verification by the first date of employment at UM and all affiliated campuses, as legally required (e.g., Form I-9). The University of Montana will require proof of authorization to work in the United States before final hiring. Due to the September 19, 2025 Presidential Proclamation and related guidance from USCIS and the Department of State, the University may be limited in its ability to offer H-1B sponsorship. At this time, we are unable to sponsor new H-1B visas that require payment of the additional fee introduced by the Proclamation.