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Clinical Business Intelligence Manager

AlignerrNew York, NYApril 9th, 2026
Clinical Business Intelligence Manager (AI Training)About The RoleWhat if your expertise in clinical analytics could directly influence how AI understands and reasons about healthcare data? We're looking for an experienced Clinical Business Intelligence Manager to lead BI teams, shape data infrastructure, and help ensure that AI systems built for healthcare are grounded in accurate, meaningful insights.This is a fully remote, flexible contract role. If you've spent years translating complex clinical and operational data into decisions that matter — this is your opportunity to bring that expertise to the frontier of AI development.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoLead and mentor a business intelligence team in designing and delivering dashboards, reports, and analytics that support clinical and operational decision-makingMaintain and optimize BI infrastructure — including data models, SQL queries, and reporting tools — ensuring accuracy, reliability, and performanceAnalyze clinical, operational, and performance data to uncover trends, support leadership decisions, and improve care delivery and efficiencyApply your deep domain knowledge to evaluate and validate healthcare-related AI outputs for accuracy, completeness, and clinical relevanceCollaborate with AI research teams to provide expert feedback that directly shapes how models understand complex healthcare dataWho You AreExperienced in healthcare or clinical analytics, business intelligence, or data managementProven ability to design and manage BI systems — including dashboards, reporting pipelines, and data modelsComfortable working with clinical, operational, and administrative datasets in regulated healthcare environmentsStrong communicator who can translate complex data findings into clear, actionable insights for diverse stakeholdersSelf-directed and reliable when working independently in a remote, asynchronous environmentNice to HavePrior experience with data annotation, data quality assurance, or evaluation systemsFamiliarity with AI tools, large language models, or healthcare AI applicationsBackground in clinical informatics, population health, or health system operationsExperience working with EHR data, claims data, or other regulated clinical datasetsWhy Join UsWork on cutting-edge AI projects alongside the world's leading research labsFully remote and flexible — structure your hours around your lifeFreelance autonomy with the depth and meaning of impactful, expert-level workDirect exposure to how advanced AI models are trained and evaluated in high-stakes domainsPotential for ongoing work and contract extension as new projects launchCollaborate with a global network of experts across healthcare, data, and AI