Clinical Business Intelligence Manager
About this role
About the Role What if your expertise in clinical analytics could directly shape how AI understands and interprets healthcare data — at a scale that influences real patient outcomes? We're looking for an experienced Clinical Business Intelligence Manager to lead analytics work that sits at the intersection of healthcare and cutting-edge AI development. You'll bring deep domain knowledge in clinical and operational data, guiding teams to build the kind of trusted, high-quality BI infrastructure that powers smarter decisions — and smarter AI. This is a fully remote, flexible contract role. If you've spent your career turning complex healthcare data into meaningful insight, this is your opportunity to do it at a new frontier. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Lead and mentor a business intelligence team in 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 and efficiency - Translate complex, multi-source healthcare datasets into clear, actionable insights for both technical and non-technical stakeholders - Uphold data quality standards and governance practices appropriate for regulated healthcare environments Who You Are - Experienced in healthcare or clinical analytics, business intelligence, or healthcare data management - Proven track record designing and managing BI systems — including dashboards, reporting pipelines, and data models - Comfortable working with clinical, operational, and administrative datasets in regulated healthcare settings - Strong communicator who can bridge the gap between raw data and real-world decision-making - Detail-oriented, self-directed, and reliable when working independently in a remote environment Nice to Have - Prior experience with data annotation, data quality evaluation, or AI training datasets - Familiarity with how large language models (LLMs) are trained or evaluated - Background in health informatics, population health, or clinical operations - Experience with tools such as Tableau, Power BI, dbt, or similar BI platforms Why Join Us - Work on cutting-edge AI projects alongside leading research labs and AI teams - Fully remote and flexible — structure your work around your life, not the other way around - Freelance autonomy with the substance of meaningful, high-impact work - Apply deep clinical expertise to a domain — AI — where that knowledge is rare and genuinely valued - Potential for ongoing work and contract extension as new projects launch
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