Clinical Business Intelligence Manager

What if your expertise in clinical analytics could directly shape how AI understands and interprets healthcare data for millions of patients and providers? We're looking for an experienced Clinical Business Intelligence Manager to lead analytics teams, design trusted reporting systems, and help translate complex health data into insights that matter — all while contributing to the development of cutting-edge AI models.

This is a fully remote, flexible contract role built for senior healthcare analytics professionals who want meaningful work on their own terms.

• Organization:
  Alignerr
• Type:
  Hourly Contract
• Location:
  
  Remote
• Commitment: 10–40 hours/week

• 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 at scale
• Analyze clinical, operational, and performance datasets to surface meaningful trends, inform leadership decisions, and drive improvements in care delivery and organizational efficiency
• Translate complex healthcare data into clear, actionable insights that stakeholders can confidently act on
• Apply your expertise to AI training projects, helping ensure that models working with healthcare data are grounded in real clinical knowledge and best practices

• Seasoned professional with strong experience in healthcare or clinical analytics, business intelligence, or health data management
• Proven ability to design, build, and manage BI systems — including dashboards, reporting pipelines, and data models — from the ground up
• Experienced working with clinical, operational, and administrative datasets in regulated healthcare environments
• A natural leader who can guide and develop analytics teams while maintaining high standards for data quality and insight integrity
• Comfortable operating independently in a remote, asynchronous work environment

• Prior experience with data annotation, data quality evaluation, or AI training workflows
• Familiarity with EHR systems, population health platforms, or clinical data warehouses
• Background in health informatics, epidemiology, or healthcare operations
• Experience working with LLMs or AI systems in a healthcare or data context

• Work on cutting-edge AI projects alongside world-leading research labs
• Fully remote and flexible — structure your hours around your life
• Freelance autonomy with the depth and substance of meaningful, expert-level work
• Bring your real-world clinical data expertise to an emerging field where it genuinely matters
• Potential for ongoing work and contract extension as new projects launch