Clinical Business Intelligence Manager
About this role
About the Role What if your expertise in healthcare analytics could directly shape how AI understands and interprets clinical data — influencing decisions that affect patient outcomes at scale? We're looking for a Clinical Business Intelligence Manager to lead analytics teams, build trusted data infrastructure, and translate complex healthcare data into insights that matter. This is a fully remote, flexible contract role designed for experienced healthcare analytics professionals who want to bring their skills to the frontier of AI development. - 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 queries, and reporting pipelines — ensuring accuracy, reliability, and performance - Analyze clinical, operational, and performance data to surface meaningful trends and actionable insights for leadership - Bridge the gap between raw healthcare data and real-world decisions that improve care delivery and organizational efficiency - Apply your domain expertise to help AI systems better understand and reason about clinical and healthcare contexts - Ensure data quality and integrity across complex, regulated healthcare datasets Who You Are - Experienced in healthcare or clinical analytics, business intelligence, or data management — you know how to make data work in high-stakes environments - Proven track record designing and managing BI systems, including dashboards, reporting pipelines, and data models - Comfortable working with clinical, operational, and administrative datasets in regulated healthcare settings - A natural leader — you can guide and mentor a BI team while keeping quality and delivery on track - Methodical and detail-oriented, with a deep appreciation for data accuracy and trust - Self-directed and effective working autonomously in a remote environment Nice to Have - Prior experience with data annotation, data quality assessment, or evaluation systems - Exposure to AI or machine learning projects, particularly in healthcare contexts - Familiarity with advanced LLMs or AI training workflows - Background working with EHR systems, claims data, or population health platforms Why Join Us - Work on cutting-edge AI projects alongside the world's leading AI research labs - Fully remote and flexible — work on your own schedule, from wherever you are - Freelance autonomy with the structure of meaningful, high-impact work - Bring your clinical data expertise to a domain where it genuinely shapes AI for healthcare - Potential for ongoing work and contract extension as new projects launch
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