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 interprets healthcare data — at a scale that touches patient outcomes across the industry? We're looking for an experienced Clinical Business Intelligence Manager to lead analytics work that sits at the intersection of healthcare intelligence and cutting-edge AI development. You'll bring your deep knowledge of clinical and operational data to help shape how AI models reason about complex healthcare environments. This is a fully remote, flexible contract role designed for senior healthcare analytics professionals who want meaningful, high-impact work on their own schedule.

• 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 meaningful trends that support leadership decisions and improve care delivery
• Translate complex healthcare datasets into clear, trusted insights that non-technical stakeholders can act on
• Apply your domain expertise to evaluate and improve how AI systems handle clinical data, analytics workflows, and healthcare reasoning

Who You Are

• Experienced in healthcare or clinical analytics, business intelligence, or data management — you've built systems that people actually use and trust
• Proven track record designing and managing BI systems: dashboards, reporting pipelines, and data models are your native language
• Comfortable working with clinical, operational, and administrative datasets in regulated healthcare environments
• A clear communicator who can bridge the gap between raw data and real decisions
• Self-directed and reliable — you deliver quality work without hand-holding

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 healthcare informatics, clinical operations, or health IT
• Experience working across interdisciplinary teams in complex healthcare settings

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 genuinely meaningful, high-skill work
• Direct exposure to advanced LLMs and how frontier AI models are trained and evaluated
• Contribute healthcare domain expertise to AI projects that have real-world implications for clinical care
• Potential for ongoing work and contract extension as new projects launch