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Mississippi State Department of Health·Mississippi

Compensation Analysis

Closes 10/14/2026$150k – $300kInvitation for Bid
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Description

The Mississippi State Department of Health (MSDH) is seeking a qualified firm to perform a comprehensive compensation analysis for its workforce. The effort will compare MSDH’s current pay structures for clinical and support classifications against both state‑governed public‑sector benchmarks and private‑sector healthcare employers, identify pay compression and equity gaps, and develop updated salary range recommendations and a phased implementation roadmap. The contract is a one‑year, firm‑fixed‑price engagement beginning December 2 2026, with deliverables that include data collection, benchmarking, equity analysis, reporting, and a repeatable methodology for future updates. • Scope includes review of all in‑scope classifications, benchmarking against public and private comparators, internal equity analysis, and cost modeling. • Deliverables: detailed analysis report, salary range recommendations, implementation plan, and data infrastructure documentation. • Required experience: minimum three years providing similar consulting services to state governments or large health organizations. • Submission deadline: 12:00 pm CST, October 14 2026 via the MSDH OpenGov portal.

Attached files

Contact

Hannah Wright(Bid Coordinator)

[email protected]

(601) 576-7954

Key dates

Opened
9/14/2026
Questions due
9/25/2026
Closes
10/14/2026
Projected award
10/20/2026
Duration
1 year

Last updated

Details

Type
Invitation for Bid
Industry
Consulting Services
NAICS
541612
Solicitation №
3160008254

Budget estimate

$150,000 – $300,000

No specific award amount is disclosed. Based on typical state‑wide compensation analysis projects of similar scope—covering data collection, benchmarking, equity analysis, and a detailed implementation plan—a one‑year firm‑fixed‑price contract for a qualified consulting firm is likely to fall between $150,000 and $300,000. The lower end assumes a smaller consulting team and limited data sources; the higher end reflects extensive benchmarking against multiple private‑sector pay surveys, detailed modeling, and deliverable documentation.

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