Clinical Business Intelligence Manager

Clinical Business Intelligence Manager (AI Training)
About The Role
What if your expertise in healthcare analytics could directly shape how AI understands and interprets clinical data — influencing decisions that affect patient outcomes at scale? We're looking for a Clinical Business Intelligence Manager to lead analytics teams, build trusted data infrastructure, and translate complex healthcare data into insights that matter.
This is a fully remote, flexible contract role designed for experienced healthcare analytics professionals who want to bring their skills 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 continuously 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 and actionable insights for leadership
Bridge the gap between raw healthcare data and real-world decisions that improve care delivery and organizational efficiency
Apply your domain expertise to help AI systems better understand and reason about clinical and healthcare contexts
Ensure data quality and integrity across complex, regulated healthcare datasets
Who You Are
Experienced in healthcare or clinical analytics, business intelligence, or data management — you know how to make data work in high-stakes environments
Proven track record designing and managing BI systems, including dashboards, reporting pipelines, and data models
Comfortable working with clinical, operational, and administrative datasets in regulated healthcare settings
A natural leader — you can guide and mentor a BI team while keeping quality and delivery on track
Methodical and detail-oriented, with a deep appreciation for data accuracy and trust
Self-directed and effective working autonomously in a remote environment
Nice to Have
Prior experience with data annotation, data quality assessment, or evaluation systems
Exposure to AI or machine learning projects, particularly in healthcare contexts
Familiarity with advanced LLMs or AI training workflows
Background working with EHR systems, claims data, or population health platforms
Why Join Us
Work on cutting-edge AI projects alongside the world's leading AI research labs
Fully remote and flexible — work on your own schedule, from wherever you are
Freelance autonomy with the structure of meaningful, high-impact work
Bring your clinical data expertise to a domain where it genuinely shapes AI for healthcare
Potential for ongoing work and contract extension as new projects launch

Work arrangement
No