Clinical Business Intelligence Manager
About this role
About the Role What if your deep expertise in healthcare analytics could directly shape how AI understands and interprets clinical data — at a scale that impacts millions of patients and providers worldwide? We're looking for an experienced Clinical Business Intelligence Manager to lead BI teams, build trusted analytics systems, and help train cutting-edge AI models that understand the complex intersection of clinical operations and healthcare outcomes. This is a fully remote, flexible contract role built for experienced healthcare data professionals who want to do meaningful, forward-looking work alongside the world's 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 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 trends, support leadership decisions, and drive improvements in care delivery and organizational efficiency - Translate complex healthcare data into clear, actionable insights that non-technical stakeholders can understand and act on - Apply your clinical domain knowledge to evaluate, validate, and improve AI-generated outputs related to healthcare analytics and data interpretation - Ensure data quality and governance standards are upheld across all reporting systems and analytical workflows Who You Are - Experienced healthcare or clinical analytics professional with a strong command of BI systems, data modeling, and reporting tools - Proven track record designing and managing end-to-end BI solutions — from data pipeline to executive dashboard - Comfortable working with clinical, operational, and administrative datasets in regulated healthcare environments - A natural leader who can guide and elevate a team of analysts while staying hands-on with the data - Detail-oriented, methodical, and committed to delivering insights that are accurate and trustworthy - Self-motivated and effective when working independently in remote, async environments Nice to Have - Prior experience with data annotation, data quality evaluation, or AI training workflows - Familiarity with healthcare data standards such as HL7, FHIR, or ICD coding systems - Background in population health, clinical operations, or value-based care analytics - Experience working with or evaluating AI-generated content or outputs Why Join Us - Work on cutting-edge AI projects alongside the world's leading AI research labs - Fully remote and flexible — structure your work around your schedule - Freelance autonomy with the substance of high-stakes, meaningful work - Gain direct exposure to advanced large language models and how they're trained on clinical knowledge - Make a tangible impact on how AI understands healthcare — and how that shapes the future of medicine - Potential for ongoing work and contract extension as new projects launch
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