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 for millions of patients and providers? We're looking for an experienced Clinical Business Intelligence Manager to lead BI teams in transforming complex healthcare data into trusted, actionable insights — and to help train the next generation of AI models that will power clinical decision-making.
This is a fully remote, flexible contract role built for seasoned healthcare analytics professionals who want meaningful work on their own terms.
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 optimize BI infrastructure — including data models, SQL queries, and reporting pipelines — ensuring accuracy, reliability, and performance at scale
- Analyze clinical, operational, and performance datasets to surface meaningful trends, support leadership decisions, and drive improvements in care delivery and efficiency
- Translate complex healthcare data into clear, trusted insights for clinical and non-clinical stakeholders
- Contribute to AI training projects by applying your domain expertise to evaluate, annotate, and improve healthcare-focused AI outputs
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Who You Are
- Experienced healthcare or clinical analytics professional with a strong track record in business intelligence or data management
- Skilled at designing and managing BI systems — dashboards, reporting pipelines, and data models — from architecture to delivery
- Comfortable working with clinical, operational, and administrative datasets in regulated healthcare environments
- A clear communicator who can translate technical findings into actionable insights for diverse audiences
- Self-directed and reliable when working independently in a remote, asynchronous environment
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Nice to Have
- Prior experience with data annotation, data quality assessment, or AI evaluation systems
- Familiarity with EHR systems, claims data, or population health platforms
- Background in healthcare informatics, health IT, or clinical operations
- Experience working with or evaluating AI-generated content in a clinical or analytical context
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, high-impact work
- Direct exposure to advanced large language models and how they're trained on specialized clinical knowledge
- Contribute to AI development that has real-world implications for healthcare and patient outcomes
- Potential for ongoing work and contract extension as new projects launch
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