Alignerr
Clinical Business Intelligence Manager
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Clinical Business Intelligence Manager (AI Training)
About The Role
What if your expertise in clinical analytics could directly shape how AI understands and interprets healthcare data at scale? We're looking for an experienced Clinical Business Intelligence Manager to lead analytics strategy, guide BI teams, and translate complex clinical and operational data into insights that matter — for patients, providers, and the AI systems learning from it all.
This is a fully remote, flexible contract role built for seasoned healthcare analytics professionals who want to do meaningful, high-impact work alongside world-leading AI research teams.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Lead and mentor a business intelligence team in designing and delivering dashboards, reports, and analytics that support clinical and operational decision-making
- Maintain and continuously optimize BI infrastructure — including data models, SQL pipelines, and reporting tools — ensuring accuracy, reliability, and performance
- Analyze clinical, operational, and performance datasets to surface actionable trends, support leadership decisions, and drive improvements in care delivery and organizational efficiency
- Serve as a trusted bridge between raw healthcare data and real-world decisions, ensuring insights are both technically sound and clinically meaningful
- Contribute your domain expertise to AI training projects that require deep knowledge of healthcare data environments and clinical workflows
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Who You Are
- Deep experience in healthcare or clinical analytics, business intelligence, or health data management
- Proven ability to design, build, and manage end-to-end BI systems — including dashboards, reporting pipelines, and scalable data models
- Hands-on experience working with clinical, operational, and administrative datasets in regulated healthcare environments
- Strong leadership skills with a track record of guiding BI teams toward high-quality, high-impact outputs
- Naturally detail-oriented with the ability to communicate complex data clearly to both technical and non-technical stakeholders
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Nice to Have
- Prior experience with data annotation, data quality frameworks, or AI evaluation systems
- Familiarity with EHR systems, claims data, or population health analytics
- Background in health informatics, clinical operations, or healthcare performance management
- Experience contributing to AI or machine learning projects in a healthcare context
Why Join Us
- Work on cutting-edge AI projects alongside the world's leading research labs
- Fully remote and flexible — structure your hours around your life, not the other way around
- Freelance autonomy with the depth and purpose of genuinely impactful work
- Gain direct exposure to advanced large language models and how they are trained on real-world domain expertise
- Collaborate with a global network of specialists across healthcare, data science, and AI
- Potential for ongoing work and contract extension as new projects launch
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Jessica, London
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