Clinical Business Intelligence Manager
Clinical Business Intelligence Manager (AI Training)About The RoleWhat if your expertise in clinical analytics could directly influence how AI understands and interprets healthcare data for millions of patients and providers worldwide? We're looking for an experienced Clinical Business Intelligence Manager to lead BI teams, shape data-driven insights, and help train cutting-edge AI models that will define the future of healthcare intelligence.This is a fully remote, flexible contract role built for seasoned healthcare analytics professionals who want to apply their skills at the frontier of AI development.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoLead and mentor a business intelligence team in building dashboards, reports, and analytics pipelines 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 datasets to uncover actionable trends and support leadership decisionsTranslate complex healthcare data into clear, trusted insights that drive improvements in care delivery and organizational efficiencyApply your clinical domain knowledge to evaluate and improve AI-generated outputs related to healthcare analytics and BI workflowsCollaborate asynchronously with a global team of subject matter experts and AI researchersWho You AreExperienced in healthcare or clinical analytics, business intelligence, or data management in regulated environmentsProven ability to design, manage, and scale BI systems — including dashboards, reporting pipelines, and data modelsComfortable working with clinical, operational, and administrative datasetsStrong communicator who can translate technical findings into actionable insights for non-technical stakeholdersSelf-directed and reliable when working independently across distributed teamsNice to HavePrior experience with data annotation, data quality evaluation, or AI training workflowsFamiliarity with EHR systems, claims data, or population health platformsBackground in health informatics, clinical operations, or healthcare ITExperience working alongside AI or machine learning teamsWhy Join UsWork on cutting-edge AI projects alongside leading research labs and AI teamsFully remote and flexible — work when and where it suits youFreelance autonomy with the structure of meaningful, high-impact workGain direct exposure to advanced LLMs and how they're trained on domain-specific healthcare knowledgeBe part of a global community of experts shaping the next generation of clinical AIPotential for ongoing work and contract extension as new projects launch