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SRM Technologies

Posted 30 Oct 2026

Model-N Validata QA

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Employment
Full time
Posted
30 Oct 2026

About the role

Experience: 5–8 Years (suggested)
Domain: US Pharma – Life Sciences / Managed Markets

Job Summary

Looking for a QA professional with experience in Model N Validata / Model N Flex to perform functional testing, validate business rules, and ensure the accuracy of pharmaceutical pricing and contract data, particularly for Validata submissions.

Key Responsibilities

  • Perform functional, system integration, and regression testing of Model N Validata applications.
  • Validate Validata submissions, including pricing and contract-related data.
  • Test Model N Flex configurations, including ESI Contracts, Product Sets, and Eligibility Sets.
  • Validate data migration and reconciliation between legacy systems and Model N Validata SaaS.
  • Prepare and execute test scenarios, test cases, and test scripts based on business requirements.
  • Perform defect tracking, triage, retesting, and closure coordination.
  • Validate data accuracy, completeness, and business rule compliance for pharma regulatory submissions.
  • Collaborate with business SMEs, developers, and functional consultants during SIT and UAT.

Required Skills

  • Hands-on experience in Model N Validata QA / Testing.
  • Good understanding of Model N Flex and pharmaceutical pricing processes.
  • Knowledge of ESI Contracts, Product Sets, and Eligibility Sets.
  • Experience in functional testing, regression testing, and data validation.
  • SQL knowledge for backend data validation and reconciliation.
  • Experience with test management and defect tracking tools such as JIRA.

Good to Have

  • Experience in Validata SaaS implementation or legacy ECP migration.
  • Understanding of US Pharma pricing and regulatory submissions.
  • Knowledge of Model N Chargebacks, Rebates, and Contract Management.
  • Experience working with cloud-based applications.

Preferred: Candidates with hands-on Model N Validata QA experience and US Pharma Managed Markets domain knowledge.



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