Summary
Clinical Business Intelligence Manager (AI Training)About The RoleWhat if your expertise in clinical analytics and business intelligence could directly shape how AI understands and reasons about healthcare data? We're looking for an experienced Clinical Business Intelligence Manager to lead analytics initiatives that connect clinical, operational, and performance data — and to help train the next generation of AI models to think like a healthcare data expert.This is a fully remote, flexible contract role designed for senior healthcare analytics professionals who want to apply their domain knowledge to cutting-edge AI projects alongside world-leading research teams.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 pipelines — ensuring accuracy, reliability, and performance at scaleAnalyze clinical, operational, and performance data to surface meaningful trends, inform leadership decisions, and drive improvements in care delivery and organizational efficiencyTranslate complex healthcare datasets into trusted, actionable insights for both clinical and non-clinical stakeholdersContribute your domain expertise to AI training workflows — helping models better understand how healthcare analytics professionals think, evaluate, and decideWork independently and asynchronously — fully on your own scheduleWho You AreDeep experience in healthcare or clinical analytics, business intelligence, or health data managementProven ability to design, build, and manage BI systems — including dashboards, reporting pipelines, and enterprise data modelsHands-on experience working with clinical, operational, and administrative datasets in regulated healthcare environmentsStrong SQL skills and familiarity with leading BI platforms (e.g., Tableau, Power BI, Looker, or similar)Comfortable leading or mentoring analytics teams and communicating complex findings clearly to diverse audiencesDetail-oriented, methodical, and rigorous in your approach to data quality and insight accuracyNice to HavePrior experience with data annotation, data quality frameworks, or AI evaluation systemsFamiliarity with EHR systems, claims data, or population health analyticsBackground in healthcare informatics, clinical data governance, or outcomes researchExperience contributing to AI training, RLHF workflows, or model evaluation projectsWhy 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 project workBring your clinical data expertise to a domain where it genuinely matters — shaping how AI understands healthcareExposure to advanced large language models and the processes that train themPotential for ongoing work and contract extension as new projects launch#J-18808-Ljbffr
Job Description
Clinical Business Intelligence Manager (AI Training)About The RoleWhat if your expertise in clinical analytics and business intelligence could directly shape how AI understands and reasons about healthcare data? We're looking for an experienced Clinical Business Intelligence Manager to lead analytics initiatives that connect clinical, operational, and performance data — and to help train the next generation of AI models to think like a healthcare data expert.This is a fully remote, flexible contract role designed for senior healthcare analytics professionals who want to apply their domain knowledge to cutting-edge AI projects alongside world-leading research teams.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 pipelines — ensuring accuracy, reliability, and performance at scaleAnalyze clinical, operational, and performance data to surface meaningful trends, inform leadership decisions, and drive improvements in care delivery and organizational efficiencyTranslate complex healthcare datasets into trusted, actionable insights for both clinical and non-clinical stakeholdersContribute your domain expertise to AI training workflows — helping models better understand how healthcare analytics professionals think, evaluate, and decideWork independently and asynchronously — fully on your own scheduleWho You AreDeep experience in healthcare or clinical analytics, business intelligence, or health data managementProven ability to design, build, and manage BI systems — including dashboards, reporting pipelines, and enterprise data modelsHands-on experience working with clinical, operational, and administrative datasets in regulated healthcare environmentsStrong SQL skills and familiarity with leading BI platforms (e.g., Tableau, Power BI, Looker, or similar)Comfortable leading or mentoring analytics teams and communicating complex findings clearly to diverse audiencesDetail-oriented, methodical, and rigorous in your approach to data quality and insight accuracyNice to HavePrior experience with data annotation, data quality frameworks, or AI evaluation systemsFamiliarity with EHR systems, claims data, or population health analyticsBackground in healthcare informatics, clinical data governance, or outcomes researchExperience contributing to AI training, RLHF workflows, or model evaluation projectsWhy 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 project workBring your clinical data expertise to a domain where it genuinely matters — shaping how AI understands healthcareExposure to advanced large language models and the processes that train themPotential for ongoing work and contract extension as new projects launch#J-18808-Ljbffr
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