> Markdown version of [/jobs/ext/4628681-research-professional-4-data-analytics](https://www.wearedevelopers.com/jobs/ext/4628681-research-professional-4-data-analytics). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Research Professional 4 - Data Analytics - **Company:** University of Minnesota - **Location:** Saint Paul, MN, United States - **Salary:** $90,000.0 - $120,000.0 - **Contract:** Temporary contract - **Skills:** Databases, Data Cleansing, Data Infrastructure, Data Integration, Document-Oriented Databases, SAS (Software), Stata, Electronic Medical Records, Data Analytics, Data Management - **Published:** November 7, 2026 - **Apply:** https://diversityjobs.com/career/18860644/Research-Professional-4-Data-Analytics-Minnesota-Saint-Paul ## About the Role * BA/BS degree with coursework in statistics, econometrics, or related field and at least 5 years of relevant experience that must include at least 1 year of research experience (in academia, other nonprofit, or corporation) involving data preparation for statistical analysis; Or a Master's degree or in health services research, public health, statistics, biostatics, economics or a related fields and 3 years of relevant experience * Proficiency with at least one statistical programming language (e.g. SAS, Stata, or R) * Experience working with healthcare claims data in academic, state or local department, and healthcare settings. * Demonstrated attention to detail and consistent documentation practices when writing statistical code. * Willingness to learn and develop new analytical skills. * Comfortable working both independently and collaboratively in a team environment. * Demonstrate effective communication with written, verbal, and interpersonal skills. * Particular interest in one or more of the following topic areas: long-term services and supports (nursing home, assisted living, home and community-based services), quality improvement, and applied policy research. Preferred: * Ability to convey complex statistical information into concepts and terms for the general public. * Demonstrated ability to manage multiple priorities across concurrent projects. ## Description The person in this role will support multiple projects focused on improving the quality of long-term services and supports (LTSS), including nursing homes, assisted living, and home- and community-based services (HCBS). This position requires strong data management and collaboration skills. Data Management and Database Construction (50%) * Construct analytic databases from various data sources, including healthcare claims, surveys, and electronic health records. Project data comes from utilization/claims data, eligibility and enrollment data, and assessment data. * Clean, merge, and prepare datasets for analysis, ensuring accuracy, completeness, and compliance with data use agreements. * Document data processes and maintain reproducible workflows. Statistical Analysis (40%) * Conduct statistical analyses, including descriptive statistics (tabular and graphical) and regression modeling. * Interpret and communicate analytic results in collaboration with research teams. * Develop and maintain annotated analytic code to ensure transparency and reproducibility. Data Infrastructure Development (10%) * Design, implement, and maintain data infrastructure to support ongoing and future research projects. * Ensure data accessibility, security, and usability. * Integrating data across multiple sources to make sure it's complete and accurate. Example Projects: * Develop 5-star rating scores, thresholds, and risk-adjustment models for assisted living facilities in Minnesota. * Projects with health care utilization analysis. * Apply working knowledge of healthcare claims data to advance research aims while accounting for limitations outlined in data use agreements. * Support analytic and data coordination activities, including project-specific data management and reporting needs. All work will be conducted in close collaboration with faculty investigator. The position also offers opportunities to contribute to peer-reviewed journal publications resulting from these analyses.