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This role focuses on validating software used in drug development to ensure compliance with GxP standards during technology due diligence for clients in the life sciences sector. You will collaborate with a pharma specialist and technology due diligence lead at Intelance to assess and report on the reliability of platforms that generate clinical trial outputs.
Intelance
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Intelance is an independent technology, AI and cyber assurance firm based in the UK. We help organisations check, govern and improve their technology through enterprise architecture, AI governance, cyber assurance and data governance work. We are building a small panel of senior associates to deliver technology and AI due diligence on company sales and investments.
You will check whether software used in drug development is validated to GxP standards, as part of technology due diligence for clients who are selling, buying or investing in life sciences technology companies. Pharmaceutical buyers want proof that a platform producing trial and regulatory outputs works reliably, keeps a full audit trail and would stand up to an inspection.
You report to an Intelance engagement partner and work alongside our pharma specialist and technology due diligence lead, who bring your findings into the final report.
Review the validation approach, records and evidence for platforms that produce clinical trial and real world evidence outputs.
Check audit trails, access controls, electronic records and change control against 21 CFR Part 11 and EU GMP Annex 11.
Judge whether the validation is proportionate to risk, using GAMP 5 and Computer Software Assurance thinking.
Check how validation is kept current when AI workflows and machine learning models change.
Check that outputs follow the expected data standards, such as CDISC SDTM and ADaM.
Rate each finding by how it could affect the deal, and write clear, practical fixes.
At least five years of computerised system validation in a GxP setting.
Hands on use of GAMP 5, 21 CFR Part 11 and EU GMP Annex 11.
Experience validating or auditing systems that produce clinical trial or regulatory submission outputs.
Working knowledge of CDISC data standards.
Clear, plain writing that founders, buyers and lawyers can follow.
Experience validating systems that use machine learning or AI is a strong plus.
Remote within the UK, with occasional meetings in London.
Around 3 to 5 days between late November 2026 and the end of January 2027, with further engagements as the practice grows.
Freelance, or through your own limited company, at £550 to £700 a day depending on experience. Reasonable travel costs for client meetings are covered.
A panel agreement, NDA and statement of work are signed before any client details are shared.
You work from an Intelance mailbox and use our evidence log and report templates, so every report meets the same standard.
Send your CV and answer the short screening questions. They take about two minutes. We aim to reply to every shortlisted candidate within five working days.
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Intelance

Intelance

Intelance