Clinical Business Intelligence Manager
About this role
About the Role What if your deep expertise in clinical analytics could directly shape how AI understands and interprets healthcare data — influencing systems that will inform real-world medical decisions for years to come? We're looking for an experienced Clinical Business Intelligence Manager to lead analytics work that sits at the intersection of healthcare data and cutting-edge AI development. You'll guide BI teams in transforming complex clinical and operational datasets into trusted insights — and in doing so, help train AI models that need to reason accurately about healthcare. This is a fully remote, flexible contract role built for senior healthcare data professionals who want meaningful, high-impact work without the rigidity of a traditional full-time position. - 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, actionable insights for both technical and non-technical stakeholders - Apply domain expertise to evaluate and improve AI-generated outputs related to clinical data interpretation and healthcare analytics Who You Are - Seasoned healthcare or clinical analytics professional with a strong track record in business intelligence or data management - Experienced designing and managing end-to-end BI systems — dashboards, reporting pipelines, data models, and the infrastructure that holds it all together - Comfortable working with clinical, operational, and administrative datasets in regulated healthcare environments - A natural communicator who can bridge the gap between complex data and real-world healthcare decisions - Self-directed and dependable — you deliver quality work without needing hand-holding Nice to Have - Prior experience with data annotation, data quality evaluation, or AI training workflows - Familiarity with EHR systems, FHIR standards, or healthcare interoperability frameworks - Background in population health analytics, value-based care, or clinical quality reporting - Experience working with or evaluating large language models (LLMs) 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 substance of genuinely meaningful, high-stakes work - Gain direct exposure to advanced LLMs and the AI training pipelines shaping the future of healthcare intelligence - Potential for ongoing work and contract extension as new projects launch
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