About the role
Clinical Business Intelligence Manager (AI Training) About The Role What if your expertise in clinical analytics could directly influence how AI understands and interprets healthcare data for millions of patients worldwide? We're looking for an experienced Clinical Business Intelligence Manager to lead analytics strategy, guide BI teams, and help translate complex clinical and operational data into insights that matter — all while contributing to cutting-edge AI development.
This is a fully remote, flexible contract role built for senior healthcare data professionals who thrive at the intersection of clinical insight and technical execution.
- 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 uncover meaningful trends and support leadership in improving care delivery and organizational efficiency
- Translate complex, multi-source healthcare datasets into trusted, actionable insights for stakeholders at all levels
- Ensure BI outputs meet the quality, compliance, and governance standards expected in regulated healthcare environments
- Collaborate asynchronously with cross-functional teams — including data engineers, clinical operations, and AI researchers — to align analytics with real-world needs
Who You Are
- Experienced in healthcare or clinical analytics, business intelligence, or data management — you know what good looks like in this space
- Proven track record designing and managing BI systems, including dashboards, reporting pipelines, and scalable data models
- Comfortable working with clinical, operational, and administrative datasets in regulated healthcare environments
- Strong communicator who can translate technical findings into clear, decision-ready insights for non-technical stakeholders
- Detail-oriented and quality-driven — you hold your work and your team's work to a high standard
- Self-directed and reliable when working independently in a remote, asynchronous environment
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training workflows
- Familiarity with EHR systems, claims data, or population health platforms
- Background in clinical operations, health informatics, or healthcare IT
- Experience evaluating AI-generated outputs for accuracy or clinical relevance
Why Join Us
- Work on cutting-edge AI projects alongside the world's leading research labs
- Fully remote and flexible — structure your hours around your life, not the other way around
- Freelance autonomy with the substance of meaningful, high-impact work
- Direct exposure to how advanced AI models are trained, evaluated, and refined in healthcare contexts
- Contribute to AI development that has real implications for how healthcare data is understood at scale
- Potential for ongoing work and contract extension as new projects launch
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