EDQ Data Team Lead - Research Scientist 3

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* Working Title:

EDQ Data Team Lead*
* ** Job Class:
Research Scientist 3*
* ** Agency:
Human Services Dept*
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** Job ** : 96341

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** Location** :
St. Paul

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** Telework Eligible** :
Yes

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** Full/Part Time** :
Full-Time

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** Regular/Temporary** :
Unlimited

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** Who May Apply** :
Open to all qualified job seekers

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** Date Posted** : 08/14/2026

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** Closing Date** : 09/01/2026

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** Hiring Agency/Seniority Unit** :
Human Services Dept / MAPE DHS Central Office

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** Division/Unit** :
Health Care Administration / Research and Quality

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** Work Shift/Work Hours** :
Day Shift / 8:00am - 4:30pm

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** Days of Work** :
Monday - Friday

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** Travel Required** :
No

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** Salary Range:**  $37.91 - $56.39 / hourly; $79,156 - $117,742 / annually

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** Job Class Option** :
Health Policy Analyst

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** Classified Status** :
Classified

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** Bargaining Unit/Union** : 214 - MN Assoc of Professional Empl/MAPE

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** FLSA Status** :
Exempt - Professional

+ Designated in Connect 700 Program for Applicants with Disabilities ((Use the "Apply for this Job" box below)./connect
700/) :
Yes

The Department of Human Services is unable to provide sponsorship for work visas. Applicants must be eligible to work in the United States at the start of employment. DHS does not participate in E-Verify.

** The work you'll do is more than just a job.*
* At the State of Minnesota, employees play a critical role in developing policies, providing essential services, and working to improve the well-being and quality of life for all Minnesotans. The State of Minnesota is committed to equity and inclusion, and invests in employees by providing benefits, support resources, and training and development opportunities.

** This position is eligible for telework for applicants who reside in Minnesota or in a bordering state, with supervisory approval and satisfactory performance. If you live in a state bordering Minnesota, you must live within 50 miles or less from the primary work location to be eligible for telework.*
* This position serves as team lead for the HCA interdivisional data team, providing expert direction, technical guidance, and training/mentoring to analytical staff on divisional and interdivisional data analysis projects related to performance measurement, diagnostic-based risk adjustment, and utilization analysis necessary for management of health care programs.

Responsibilities include:

+ Directs analytical efforts in support of agency program integrity efforts related to Medicaid, including identifying data anomalies, utilization patterns, or payment discrepancies that may indicate fraud, waste, or abuse, and applying analytical expertise to inform program integrity reviews and corrective actions.

+ Leads the data-related efforts underlying Managed Care organization compliance, including directing the analysis, validation, and reporting of encounter data used to monitor and ensure Managed Care organizations' adherence to state and federal contractual, regulatory, and reporting requirements.

+ Leads the analysis of health care data to estimate the need for health care services, evaluate and improve payment methodologies, estimate the impact of changes in delivery and payment systems, and measure health care outcomes. This includes planning and designing research studies, developing methods and procedures for data analysis projects, and developing and managing the databases required to carry out these studies.

+ Interprets data and study results to inform management on potential policy and program changes and executes highly technical analyses to support management decisions and strategic planning for program outcomes and cost containment.

+ Provides technical direction and consultation to management and staff on the above activities and represents the department on planning teams responsible for the collection and dissemination of related information.

** Minimum Qualifications*
* Three (3) years of advanced professional research experience in health or social sciences that demonstrates:

+ Statistical analysis software such as SAS and/or SQL

+ Data analysis, data qualification, data transformation and interpretation,…