Clinical Study Manager
Alignerr · Indianapolis, IN · 1 mo ago
RemoteRemoteInformation TechnologyContract
About the role
Fully remote, flexible contract role for seasoned clinical professionals to oversee clinical trial operations and help train AI models. Organization: Alignerr • Type: Hourly Contract • Location: Remote • Commitment: 10–40 hours/week
Responsibilities
- Manage clinical trial timelines, milestones, and deliverables to ensure studies stay on track from start to finish
- Oversee study budgets, financial forecasting, and cost tracking across multiple vendors and research partners
- Coordinate with CROs, investigative sites, and internal teams to ensure smooth, compliant study operations
- Identify operational risks early, resolve issues decisively, and keep all stakeholders aligned throughout the trial lifecycle
- Apply your real-world clinical expertise to evaluate and improve AI-generated content related to clinical research workflows
Requirements
- Experienced clinical trial project manager with a strong track record managing budgets, timelines, and vendor relationships
- Skilled at coordinating CROs, external research partners, and cross-functional teams
- Adept at managing multiple workstreams simultaneously without losing sight of quality or compliance
- Methodical, detail-oriented, and comfortable operating independently in a remote environment
- Strong written communicator who can document findings and feedback clearly and concisely
Skills
- Prior experience with data annotation, data quality assessment, or evaluation systems
- Familiarity with AI tools or clinical data platforms
- Background working across multiple therapeutic areas or trial phases
- Experience with risk-based monitoring or decentralized trial models
Benefits
- Work alongside world-leading AI research labs on genuinely cutting-edge projects
- Fully remote and asynchronous — work when and where it suits you
- Freelance autonomy with meaningful, substantive work that leverages your clinical expertise
- Gain exposure to advanced large language models and how they're trained using real-world clinical data
- Potential for ongoing work and contract extension as new projects launch