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Clinical Business Intelligence Manager (AI Training) About The Role What if your deep 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, design high-impact analytics, and bring real-world healthcare intelligence to cutting-edge AI training projects. This is a fully remote, flexible contract role built for senior healthcare data professionals who want meaningful, intellectually stimulating work — on their own terms. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Lead and mentor a business intelligence team building 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 Analyze clinical, operational, and performance data to surface trends, support leadership decisions, and improve care delivery Translate complex healthcare datasets into trusted, actionable insights for stakeholders at every level Ensure data governance and quality standards are upheld across all BI outputs in regulated healthcare environments Collaborate asynchronously with a global team of data professionals and AI researchers Who You Are Experienced in healthcare or clinical analytics, business intelligence, or data management — you know how to make complex data meaningful Proven track record designing and managing BI systems: dashboards, reporting pipelines, and data models that people actually use and trust Comfortable working with clinical, operational, and administrative datasets in regulated healthcare settings A strong communicator who can bridge the gap between data infrastructure and real-world decision-making Self-directed and reliable — you thrive working independently without needing hand-holding Nice to Have Prior experience with data annotation, data quality, or evaluation systems Familiarity with AI model training workflows or RLHF-style evaluation processes Background in health informatics, clinical operations, or population health analytics Experience with tools such as Tableau, Power BI, Looker, dbt, or similar BI platforms Why Join Us Work on cutting-edge AI projects alongside the world's leading AI research labs Fully remote and flexible — structure your hours around your life, not the other way around Freelance autonomy with the substance of genuinely impactful, high-skill work Bring your clinical expertise to a frontier technology space where it makes a direct difference Potential for ongoing work and contract extension as new projects launch