Clinical Business Intelligence Manager

Clinical Business Intelligence Manager (AI Training)

About The Role

What if your 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, shape data infrastructure, and help ensure that AI systems built for healthcare are grounded in accurate, meaningful insights.

This is a fully remote, flexible contract role. If you've spent years translating complex clinical and operational data into decisions that matter --- this is your opportunity to bring that expertise to the frontier of AI development.

• 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 optimize BI infrastructure --- including data models, SQL queries, and reporting tools --- ensuring accuracy, reliability, and performance
• Analyze clinical, operational, and performance data to uncover trends, support leadership decisions, and improve care delivery and efficiency
• Apply your deep domain knowledge to evaluate and validate healthcare-related AI outputs for accuracy, completeness, and clinical relevance
• Collaborate with AI research teams to provide expert feedback that directly shapes how models understand complex healthcare data

Who You Are

• Experienced in healthcare or clinical analytics, business intelligence, or data management
• Proven ability to design and manage BI systems --- including dashboards, reporting pipelines, and data models
• Comfortable working with clinical, operational, and administrative datasets in regulated healthcare environments
• Strong communicator who can translate complex data findings into clear, actionable insights for diverse stakeholders
• Self-directed and reliable when working independently in a remote, asynchronous environment

Nice to Have

• Prior experience with data annotation, data quality assurance, or evaluation systems
• Familiarity with AI tools, large language models, or healthcare AI applications
• Background in clinical informatics, population health, or health system operations
• Experience working with EHR data, claims data, or other regulated clinical datasets

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
• Freelance autonomy with the depth and meaning of impactful, expert-level work
• Direct exposure to how advanced AI models are trained and evaluated in high-stakes domains
• Potential for ongoing work and contract extension as new projects launch
• Collaborate with a global network of experts across healthcare, data, and AI