Clinical Business Intelligence Manager
About this role
About the Role What if your expertise in clinical analytics could directly shape how AI understands and interprets healthcare data — influencing systems that will support real-world medical decisions at scale? We're looking for an experienced Clinical Business Intelligence Manager to lead analytics work that sits at the intersection of healthcare and cutting-edge AI. You'll guide BI teams in transforming complex clinical and operational data into trusted, actionable insights — and your domain knowledge will help ensure the AI models we train actually reflect how healthcare works in practice. This is a fully remote, flexible contract role. If you have deep experience in clinical analytics and a passion for making data meaningful, this is your opportunity to do that work at the frontier of AI. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Lead and mentor a business intelligence team in building 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 - Analyze clinical, operational, and performance datasets to surface meaningful trends and support leadership decisions - Translate complex healthcare data into clear, trusted insights that connect directly to patient outcomes and organizational efficiency - Apply your healthcare domain expertise to AI training projects, helping ensure data outputs reflect real-world clinical accuracy Who You Are - Experienced in healthcare or clinical analytics, business intelligence, or data management within regulated environments - Proven ability to design, build, and manage BI systems — including dashboards, reporting pipelines, and data models - Comfortable working with clinical, operational, and administrative datasets at scale - A clear communicator who can translate technical findings for non-technical stakeholders - Self-directed and reliable when working independently in a remote, asynchronous environment Nice to Have - Prior experience with data annotation, data quality evaluation, or AI training workflows - Familiarity with EHR systems, clinical coding, or healthcare interoperability standards - Background in population health analytics, quality metrics, or value-based care reporting - Experience working with LLMs or AI research teams in a data or evaluation capacity Why Join Us - Work on cutting-edge AI projects alongside leading research labs and AI teams - Fully remote and flexible — structure your work around your schedule - Freelance autonomy with the depth and meaning of high-stakes, real-world healthcare data work - Gain rare exposure to how advanced AI models are trained on complex clinical domains - Potential for ongoing work and contract extension as new projects launch
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