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Rural Health Student Researcher

Job Summary


This position exists to support the Office of Rural Health and Primary Care in conducting a variety of projects including:
  • Environmental scans of the current ACO market in Minnesota
  • Economic impact analyses that assist in exploring value-based budgeting options
  • Quantifying the impact of rural health care for rural economies
  • Update, develop and maintaining database(s) and chartbooks
  • Use infographics, dashboards or other communication tools to assist in promoting research and data​

Qualifications


Minimum Qualifications


Completion of two years of post-secondary education.

Student Worker Eligibility:
To be eligible for appointment as a Student Worker Paraprofessional Senior you must be enrolled in a post-secondary or graduate program or plan to enroll within three months. Students may be "off" for the summer or for one semester/quarter and remain employed as a student worker, but such absences cannot exceed one semester/quarter in a year. If you are enrolled at a credit-granting institution you must carry at least six semester/nine quarter credits. If enrolled at a non-credit granting institution or one that only offers one credit per class, you must be taking two or more classes per semester/quarter. Any lesser credit (class) load will be treated as a semester/quarter off. Graduate students must be enrolled in at least two courses or making progress on a dissertation. You will be asked to complete an Educational Verification form prior to appointment.


Preferred Qualifications


Graduate degree (or working towards) in Public Health, Business Administration, Public Administration, or one of the following areas or a related field: epidemiology, biostatistics/statistics/mathematics, geography, natural or social sciences.
     Knowledge of Microsoft Office: Excel, Word, PowerPoint; Statistical software.
     Experience programming and generating reports using statistical software and Excel.
     Experience collecting, analyzing, evaluating and organizing data, including cleaning data sets.
     Ability to effectively present ideas and projects verbally and in writing.
     Ability to work independently.
     Ability to meet project deadlines.
     Ability to work with large, merged datasets.