Lead Psychometrician/Research Scientist
Listed on 2026-10-12
-
Business
Data Scientist, Data Analyst
Working Title:
Lead Psychometrician
Job Class:
Research Scientist 3
Agency:
Human Services Dept
- Job : 97624
- Location :
St. Paul - Telework Eligible :
Yes - Full/Part Time :
Full-Time - Regular/Temporary :
Unlimited - Who May Apply :
Open to all qualified job seekers - Date Posted : 10/09/2026
- Closing Date : 10/22/2026
- Hiring Agency/Seniority Unit :
Human Services Dept / MAPE DHS Central Office - Division/Unit : DHS-Central Office / ADSA Team
- Work Shift/Work Hours :
Day Shift - Days of Work :
Monday
- Friday - Travel Required :
No - Salary Range: $37.91 - $56.39 / hourly; $79,156 - $117,742 / annually
- Classified Status :
Classified - Bargaining Unit/Union : 214 - MN Assoc of Professional Empl/MAPE
- FLSA Status :
Exempt
- Professional - Designated in Connect 700 Program for Applicants with Disabilities ((Use the "Apply for this Job" box below)./connect
700/) :
Yes
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.
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.
The Lead Psychometrician will lead psychometric and measurement science for the MnCHOICES assessment. The incumbent is responsible for:
- for leading the evaluation and ongoing monitoring of the reliability, validity, fairness and integrity of the MnCHOICES assessment used to determine long-term services and supports (LTSS) eligibility and resource allocation across Minnesota’s disability and aging programs
- Provide expert-level leadership in psychometric analysis, measurement theory, and assessment validation within a large, complex administrative data system
- Ensure that assessment instruments used for eligibility determination and resource allocation are statistically sound, consistently applied across assessors and populations, and supported by rigorous evidence of reliability, validity and equity
The position operates within the LTSS Data Foundations Team and collaborates closely with developers, analysts, business intelligence staff, policy teams and external partners to lead processes that build confidence that assessment data are accurate, defensible, and fit for operational, eligibility and resource allocation use.
Minimum QualificationsThree years of professional experience applying psychometrics, measurement theory, and advanced statistical methods to the design, development, evaluation, or ongoing monitoring of assessment systems or similar measurement instruments. Experience must include:
- Evaluating the reliability, validity, fairness, and measurement performance of large-scale assessments or similar measurement systems
- Applying advanced psychometric and statistical methods such as factor analysis, item response theory (IRT), reliability estimation, regression modeling, differential item functioning, simulation, or comparable methods
- Using statistical programming languages such as R, SAS, Python, or comparable tools to analyze large and complex assessment datasets
- Experience leading or directing assessment evaluation or measurement-related work including Interpreting technical findings and developing recommendations that includes downstream impacts regarding assessment design, measurement quality, and the operational use of assessment results
- Experience conducting simulation, sensitivity, validation, or impact analyses to assess how changes to assessment items, scoring methods, scales, algorithms, or decision rules affect results
- Experience conducting equity or subgroup analyses to identify differences in assessment performance or outcomes across populations
- Experience developing or implementing assessment monitoring, validation, quality assurance, or governance processes
- Experience managing contractors or providing…
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