Clinical Business Intelligence Manager

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? We're looking for a Clinical Business Intelligence Manager to lead analytics teams, build trusted data infrastructure, and turn complex healthcare datasets into insights that drive real decisions.

This is a fully remote, flexible contract role built for experienced healthcare analytics professionals who want to work at the frontier of AI development — with the autonomy and flexibility of freelance work.

• 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 pipelines — ensuring accuracy, reliability, and performance
• Analyze clinical, operational, and performance data to surface meaningful trends, support leadership decisions, and improve care delivery
• Translate complex, multi-source healthcare data into clear, actionable insights for clinical and executive stakeholders
• Ensure data integrity and governance standards are upheld across regulated healthcare environments
• Collaborate with cross-functional teams on AI projects that sit at the intersection of clinical knowledge and machine learning

Who You Are

• Seasoned professional with strong experience in healthcare or clinical analytics, business intelligence, or data management
• Proven track record designing and managing BI systems — dashboards, reporting pipelines, data models, and SQL-based infrastructure
• Experienced working with clinical, operational, and administrative datasets in regulated healthcare settings
• A clear communicator who can bridge the gap between technical data work and clinical or executive decision-making
• Detail-oriented and systematic — you hold yourself and your team to high standards of data quality
• Self-directed and effective when working remotely and asynchronously

Nice to Have

• Prior experience with data annotation, data quality review, or AI evaluation systems
• Familiarity with AI tools, LLMs, or machine learning workflows
• Background in clinical informatics, health IT, or population health analytics
• Experience contributing to AI training datasets or model evaluation

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
• Freelance autonomy with the substance of meaningful, high-impact work
• Direct exposure to advanced LLMs and how they're trained on real-world healthcare knowledge
• Contribute to work that connects clinical expertise to the future of AI
• Potential for ongoing work and contract extension as new projects launch