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

Work arrangement
Yes