Remote Clinical Study Manager for AI Training

Alignerr Corp.; France; Sur place; EUR 55 000 - 110 000; Temps partiel

Résumé du poste

Alignerr is seeking an experienced Clinical Study Manager to support AI training projects by ensuring rigorous operational execution of clinical research activities in a fully remote, freelance capacity.

You'll manage timelines, budgets, CRO coordination, and cross-functional teams across vendors and research partners, applying real-world clinical expertise to guide AI systems being trained on clinical data.

Qualifications

• Experienced clinical trial project manager with budgets, timelines, and multi-vendor studies.
• Skilled at coordinating CROs, external research partners, and cross-functional internal teams.
• Comfortable managing multiple workstreams simultaneously without letting anything fall through the cracks.
• Detail-oriented and proactive — you spot problems before they become crises.

Responsabilités

• Manage clinical trial timelines, milestones, and deliverables to ensure projects stay on track and within scope.
• Oversee study budgets, financial forecasting, and expenditure tracking across multiple vendors and research partners.
• Coordinate with CROs, investigative sites, and internal teams to ensure smooth, high-quality study execution.
• Identify operational risks early, resolve issues proactively, and keep stakeholders aligned throughout the trial lifecycle.
• Apply your clinical research expertise to support AI training projects grounded in real-world study data.

Connaissances

Budget management

Timeline management

Vendor coordination

Multi-stakeholder coordination

Risk identification

Clear communication

Description du poste

Alignerr is seeking an experienced Clinical Study Manager to support AI training projects by ensuring rigorous operational execution of clinical research activities in a fully remote, freelance capacity.

You'll manage timelines, budgets, CRO coordination, and cross-functional teams across vendors and research partners, applying real-world clinical expertise to guide AI systems being trained on clinical data.