Clinical Business Intelligence Manager

Clinical Business Intelligence Manager (AI Training)
About The Role
What if your expertise in healthcare analytics could directly influence how AI understands and reasons about clinical data? We're partnering with leading AI research teams to build and refine cutting-edge models — and we need an experienced Clinical Business Intelligence Manager to lead that work.
This is a fully remote, flexible contract role built for senior healthcare data professionals who know how to turn complex clinical datasets into clear, actionable intelligence. You'll lead a BI team, shape analytical infrastructure, and help ensure AI systems reflect the rigor and nuance that healthcare demands.
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 — for accuracy, reliability, and performance
Analyze clinical, operational, and performance data to surface meaningful trends and support leadership decisions
Translate complex healthcare data into trusted, accessible insights that improve care delivery and organizational efficiency
Apply your domain expertise to evaluate and improve how AI models interpret and reason about clinical data
Work independently and asynchronously — fully on your own schedule
Who You Are
Experienced in healthcare or clinical analytics, business intelligence, or health data management
Proven track record designing and managing BI systems — dashboards, reporting pipelines, and data models at scale
Comfortable working with clinical, operational, and administrative datasets in regulated healthcare environments
Strong communicator who can translate technical findings for both clinical and executive audiences
Detail-oriented and systematic in your approach to data quality and governance
Self-directed and reliable when working independently without close supervision
Nice to Have
Prior experience with data annotation, data quality evaluation, or AI training workflows
Background in EHR systems, claims data, or population health analytics
Familiarity with healthcare regulatory frameworks such as HIPAA or HL7/FHIR
Experience evaluating AI-generated content or outputs for accuracy and appropriateness
Why Join Us
Work on cutting-edge AI projects alongside the world's leading research labs
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure and purpose of meaningful, high-impact work
Gain rare exposure to advanced large language models and how they're trained on domain-specific data
Contribute expertise that shapes how AI navigates one of the most consequential fields in the world
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes