Clinical Business Intelligence Manager

Clinical Business Intelligence Manager (AI Training)
About The Role
What if your deep expertise in healthcare analytics could directly shape how AI understands and interprets clinical data — influencing systems that support real patient outcomes at scale?
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. You'll bring your domain knowledge to bear on complex clinical datasets, guiding the development of dashboards, data models, and insights that matter.
This is a fully remote, flexible contract role built for experienced healthcare data professionals who want meaningful, high-impact work on their own terms.
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
Design, 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 uncover trends, surface actionable insights, and support leadership decisions
Translate complex healthcare data into trusted, accessible outputs that drive measurable improvements in care delivery and organizational efficiency
Contribute expertise to AI training projects focused on healthcare data interpretation and clinical analytics evaluation
Who You Are
Experienced in healthcare or clinical analytics, business intelligence, or data management within regulated environments
Proven track record designing and managing BI systems — dashboards, reporting pipelines, and data models
Comfortable working across clinical, operational, and administrative datasets in complex healthcare settings
A clear communicator who can bridge the gap between technical data work and real-world healthcare decisions
Self-directed and reliable — you deliver quality work without needing to be managed closely
Nice to Have
Prior experience with data annotation, data quality assurance, or AI evaluation workflows
Familiarity with EHR systems, claims data, or population health platforms
Background in clinical informatics, health IT, or outcomes research
Experience working with large language models or AI-generated content in a healthcare context
Why Join Us
Work on cutting-edge AI projects alongside world-leading research labs
Fully remote and flexible — structure your hours around your life, not the other way around
Freelance autonomy with the substance of genuinely impactful, mission-driven work
Gain 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

Work arrangement
Yes