Non-Exempt Temporary or Casual

Apply for Job Job ID372682 LocationTwin Cities Job FamilySupplemental Employee Full/Part TimePart-Time Regular/TemporaryRegular Job Code0001 Employee ClassCivil Service Add to Favorite Jobs Email this Job About the Job 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. Qualifications 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. About the Department 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 and Benefits 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. How To Apply 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

Created: 2026-04-04