Hybrid Data Programmer & Analyst for Health Policy Research

University of Minnesota; Minneapolis (MN); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive wages, paid holidays, and

Tuition benefits

HSA contributions

Retirement plans

Job summary

University of Minnesota’s School of Public Health, Health Policy and Management seeks a Data Programmer and Analyst (Research Professional 4) to support LTSS-focused projects. You will construct analytic databases, conduct descriptive and regression analyses, and help design scalable data infrastructure in collaboration with faculty investigators.

The role requires strong data management, attention to detail, and effective communication; hybrid work with onsite Mayo Memorial Building in

Qualifications

• 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, biostatistics, 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.

Responsibilities

• 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.
• 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.
• 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.

Skills

SAS

Stata

R

Education

Master's degree in health services research or related field

Bachelor's degree in statistics or related field

Job description

University of Minnesota’s School of Public Health, Health Policy and Management seeks a Data Programmer and Analyst (Research Professional 4) to support LTSS-focused projects. You will construct analytic databases, conduct descriptive and regression analyses, and help design scalable data infrastructure in collaboration with faculty investigators.

The role requires strong data management, attention to detail, and effective communication; hybrid work with onsite Mayo Memorial Building in