Clinical Study Manager

Alignerr Corp.

Greater London

À distance

GBP 41 000 - 83 000

Plein temps

Il y a 9 heures
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Résumé du poste

Alignerr is seeking an experienced Clinical Study Manager to help train AI systems on real-world clinical trial workflows. This fully remote, hourly-contract role suits experts who can manage complex studies, budgets, and multi-vendor coordination with minimal supervision.

You will oversee timelines, forecast budgets, flag risks, and ensure smooth study execution across CROs, sites, and internal teams, contributing hands-on insights to improve AI models while working independently on a flexible

Qualifications

  • Experienced clinical research professional with hands-on trial project management.
  • Ability to manage budgets, timelines, and multi-vendor relationships.
  • Comfort coordinating multiple workstreams and keeping stakeholders aligned.
  • Detail-oriented and self-motivated when working independently.

Responsabilités

  • Oversee clinical trial timelines, milestones, and deliverables to keep projects on track.
  • Review budgets, forecasting, and financial tracking across vendors and partners.
  • Identify risks, resolve issues, and maintain smooth study operations.

Connaissances

Trial management
Budget management
Vendor management
Cross-functional work
Independent work

Description du poste

About The Role

What if your clinical operations expertise could directly shape how AI understands and models the complexities of clinical research? We're looking for experienced Clinical Study Managers to help us build and validate AI systems trained on real-world clinical trial workflows — bringing your hands‑on knowledge of trial execution, vendor management, and study budgets to one of the most exciting intersections of healthcare and technology.

Clinical Study Manager (AI Training)

What if your clinical operations expertise could directly shape how AI understands and models the complexities of clinical research? We're looking for experienced Clinical Study Managers to help us build and validate AI systems trained on real-world clinical trial workflows — bringing your hands‑on knowledge of trial execution, vendor management, and study budgets to one of the most exciting intersections of healthcare and technology.

Job Details
  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week
What You'll Do
  • Oversee and evaluate clinical trial timelines, milestones, and deliverables to ensure projects stay on track
  • Review and assess study budgets, forecasting, and financial tracking across multiple vendors and partners
  • Apply your operational expertise to identify risks, resolve issues, and keep complex studies running smoothly
  • Coordinate insights across CROs, sites, and internal teams to support seamless study execution
  • Contribute domain knowledge to help AI models better understand clinical trial operations and best practices
  • Work independently and asynchronously — fully on your own schedule
Who You Are
  • Experienced clinical research professional with a strong background in trial project management
  • Skilled at managing budgets, timelines, and multi‑vendor relationships across complex studies
  • Comfortable coordinating multiple workstreams and keeping stakeholders aligned throughout the trial lifecycle
  • Detail‑oriented and methodical — you notice when something is off before it becomes a problem
  • Self‑motivated and reliable when working independently without close supervision
Nice to Have
  • Prior experience with data annotation, data quality, or evaluation systems
  • Familiarity with AI tools or content evaluation platforms
  • Background spanning multiple therapeutic areas or trial phases
  • Experience in a CRO, biotech, or pharmaceutical environment
Why Join Us
  • Work on cutting‑edge AI projects alongside leading research labs and AI teams
  • Fully remote and flexible — work when and where it suits you
  • Freelance autonomy with the structure of meaningful, task‑based work
  • Gain unique exposure to how advanced AI models are trained using real‑world clinical data
  • Contribute to work that sits at the frontier of AI and healthcare innovation
  • Potential for ongoing work and contract extension as new projects launch
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