Python Programmer- Casual Appointment

Python Programmer

Coding and Classification of Psychometrically Validated Assessment Instruments

Duration: Fall semester; 14 hours per week

Reporting Structure: This is a non-management position within the Division of Computational Health Sciences within the University of Minnesota Medical School, and within the Academic
Health Center at the University of Minnesota. The Division of Computational Health Sciences is an interdisciplinary academic unit, where faculty, trainees, students and domain experts from diverse backgrounds including data sciences, computing, statistics, epidemiology and human computer interaction. We collect, analyze, and interpret complex, multi-scale real-world data from large-scale and multi-modal data in biomedical research, cohort databases, and clinical care.

Department: Department of Surgery

General: The consultant will be responsible for creating Python programs to process flowsheet metadata, assessment instrument data and publication metadata files. The consultant will be
responsible for generating publication metadata files based on targeted literature search on both PubMed and PsycINFO. Training will be provided.

Basic Function: Identification and extraction of multiple features of psychometric assessment instruments (construct measured, development method, respondent, version, etc.) using Python
programs; Development and execution of Python programs to process flowsheet answer lists, i.e., assessment question responses scales, such as never-sometimes-always, yes-no, mild- moderate-severe, etc.); Development and execution of Python programs to generate load-ready files for an assessment instrument SQL Server database.

Characteristic Duties and Responsibilities:

• Python programming
• Contribute to and complete a research project overseen by the PI

Supervision Received: This position reports to the Study PI

Required Qualifications must be listed on the resume.

Required:

• BS in computer science, informatics, statistics or related field
• Strong Python programming skills

• Basic knowledge of database management systems

Internal:

• Requires scheduled hours for this position agreed upon by the supervisor, (10-14 hours per week)
• Enrollment at the University of Minnesota or external academic University

Physical Demands:

• Standing and sitting for long periods of time (e.g. 4hrs).

• Be able to lift 50lbs by yourself

Non-Physical Demands:

• Microsoft Office applications (Word, Excel, PowerPoint)
• Python programming

To learn more about the Department of Surgery, please visit: med.umn.edu/surgery.

Committed to innovation and diversity, the Medical School educates physicians, scientists, and health professionals; generates knowledge and treatments; and cares for patients and communities with compassion and respect. We value excellence, inclusiveness, collaboration, and discovery.

The mission of the regional campus located in Duluth is to be a national leader in improving healthcare access and outcomes in rural Minnesota and American Indian/Alaska Native (AI/AN) communities. In partnership with CentraCare, the regional campus in St. Cloud offers a wide range of patient experiences throughout students' education in Greater Minnesota and prepares them to become exceptional clinicians and leaders for rural and immigrant populations

Founded in 1888, the University of Minnesota Medical School has three campuses. A four-year MD program and the MD/PhD program are located on the Twin Cities campus in addition to MD programs at regional campuses in Duluth and St. Cloud.

Pay Range: $20-35 an hour; depending on education/qualifications/experience.

Retirement plan options are available for Civil Service, Faculty, Labor-Represented, Professional & Administrative, and Temp Casual classifications. Learn more about retirement plans.

Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.

Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.

To request an accommodation during the application process, please e-mail jobcentr@umn.edu.

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.

The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu

Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.

The University of Minnesota, Twin Cities (UMTC)

The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

At the University of Minnesota, we are proud to be recognized by Forbes as a Best Employer for Company Culture (2026), Best Employer for Women (2023, 2025, 2026), and Best Employer by State (2022-2026). In 2026, we also received Culture Excellence & Industry Awards recognition for employee appreciation and work-life flexibility.