Non-Exempt Temporary or Casual

In the U.S., Black women die from breast cancer at a higher rate (40%) than women from all other racial identities. While African American women screen at similar rates as White American women, they have a 40% higher breast cancer mortality rate. The elevated mortality rates of African-American women are related to behavioral, healthcare accessibility, and genetic factors. Stage at diagnosis is an important behavioral factor that contributes to mortality. Approximately 15% of African American women receive a late-stage breast cancer diagnosis (i.e., stage 4), which has lower 5-year survival rates (28%) compared to early-stage breast cancer (99%).

Applicants for this position will assist Dr. Haynes in investigating methods for calculating breast cancer screening rates across two systems. They should have advanced expertise in SQL and have experience using statistical or programming packages like R or Python. The applicant will need to develop SQL code from scratch based on the MHealth Fairview EMR. This will require excellent analytical skills, note-taking, and attention to detail. Secondly, we will use this new information and apply it to the MN Department of Health, All Payers Database. Students will need knowledge on claims data to understand the differences between these two systems. We may use R or Python to improve these techniques. Finally, students will be responsible for drafting documents for presentations and preparing sections of a manuscript for publication.

Key Responsibilities

• Write and optimize SQL queries using the M Health Fairview EMR.
• Analyze and compare screening metrics across EMR data and the MN Department of Health All-Payer Claims Database (APCD).
• Use R or Python for data cleaning, analysis, and method refinement.
• Maintain clear documentation and analytic notes.
• Draft materials for presentations and assist with manuscript sections.

All required qualifications must be documented on application materials.

Required Qualifications

• Strong proficiency in SQL (ability to build code from scratch).
• Experience using statistical or programming packages, like R or Python.
• Excellent analytical skills, notetaking, and attention to detail.
• Ability to interpret complex healthcare datasets.

Preferred Qualifications

• Experience with claims data or APCDs.
• Familiarity with M Health Fairview EMR or similar systems.
• Background in public health, health services research, informatics, or related fields.
• Experience contributing to academic writing or presentations.

The Institute for Health Informatics (IHI) educates students and conducts research in the fields of biomedical and health informatics.

In that work it focuses on the design, use, and evaluation of information systems that support and improve healthcare while protecting the safety and confidentiality of those who receive that care. It is an interdisciplinary endeavor that encompasses work in a variety of settings from tertiary care hospitals to specialty clinics, mental health facilities, community clinics, nursing homes, and home care agencies.

Pay Range: $27.95/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 employ@umn.edu or call (612) 624-8647.

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 the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of America's Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).