Data Research Fellow; Rsch Pro -Stats Analysis

Position: Data Research Fellow (Rsch Pro 4-Stats Analysis)
About the Job

The School of Public Health Division of Health Policy and Management seeks a Researcher 4 (8354ST)/Data Research Fellow to join the State Health Access Data Assistance Center (SHADAC) team of dedicated and highly regarded faculty, research experts, and staff. This position will work as part of a team to conduct statistical analysis, translate findings into clear and compelling written products, and perform data management tasks for a variety of health policy research projects and client deliverables.

Work Arrangements:
The University of Minnesota endorses a "Work. With Flexibility." and we offer a flexible work environment that meets the needs of our students, faculty, staff, and partners we serve. Hybrid work is permitted, though workers are expected to work in person at least two days per week. The successful candidate is expected to have access to a reliable internet connection for duties undertaken remotely.

Onsite location:
University Office Plaza, 2221 University Ave. SE, Suite 345, Minneapolis, Twin Cities Campus - East-bank

Starting Salary is dependent upon the selected candidate's relevant qualifications, experience, and internal equity: $36.06 - $38.47 ($75,000-$80,000 annually (full-time))

Example projects include:

* Produce descriptive statistics using a wide range of survey data sources to populate SHADAC's online data visualization tool:
State Health Compare

* Conduct analysis using the National Health Interview Survey (NHIS) to examine differences in access to care and utilization in Medicaid by rurality

* Collaborate with SHADAC staff to develop new measures related to emerging health policy topics (e.g., coverage transitions, work requirements, etc.)

* Maintain, update and advance SHADAC's expertise and resources on relevant research topics, such as the SHADAC's Health Insurance Unit and the Medicaid under count

Job Responsibilities:

SHADAC Data Research Fellows typically work on more than one project under the guidance and supervision of a project manager. Specific duties may include:

50% Coding, analysis and data monitoring and management

* Write and maintain statistical software (e.g., Stata, SAS, R) code to automate data cleaning, transformation, and analysis.

* Perform statistical analyses such as descriptive statistics and regression modeling.

* Develop and implement validation processes to ensure data integrity.

* Produce and maintain complete documentation to ensure reproducibility of results

* Access and prepare datasets for analysis (e.g., developing applications, setting up secure storage, merging data sets, etc.)

40% Translate findings into blogs and other written products and provide technical assistance

* Examine and identify data patterns and trends to inform publications and client deliverables

* Draft narrative text for various forms of data related publications (e.g., briefs, blogs) and client deliverables

* Support technical assistance to state agencies, analysts, and policymakers (for example, by producing data analysis and summarizing results)

* Conceptualize and produce compelling, high quality data visualizations including tables, charts and other graphics (e.g., online data dashboards)

* Stay abreast of key methodological changes in data sources that are core to SHADAC's portfolio of work

10% Participation as member of the SHADAC team

* Develop and maintain working relationships with other SHADAC staff

* Participate in SHADAC staff meetings and research meetings

* Attend events such as webinars and on-campus seminars

Qualifications

All required qualifications must be included in the application materials

Required Qualifications:

* Undergraduate degree in public health, public policy, economics, statistics, or related field plus five years relevant work experience; or master's degree public health, public policy, economics, statistics, or closely related field and three years of relevant work experience; or a combination of education and relevant work experience to equal at least nine years.

* Effective analytic skills with at least two years of demonstrated professional experience writing code to perform statistical analysis of large data sets using software such as Stata, SAS, or R.

* Demonstrated attention to detail and consistent documentation practices when writing statistical code.

* Willingness to learn and develop new programming and analytic skills and to work with a wide range of new data sources.

* Comfortable working both independently and collaboratively in a team environment.

* Demonstrate effective communication with written, verbal, and interpersonal skills.

* Ability to obtain Special Sworn Status (SSS) to work in a Census Research Data Center with restricted data.

* Commitment to fostering an inclusive, respectful workplace.

Preferred Qualifications:

* Experience working with large federal survey datasets (e.g., ACS, CPS, BRFSS, NHIS, MEPS, etc.)

* Proficiency with data visualization tools such as Tableau, Data Wrapper, Infogram, etc..

* Knowledge and interest in health…