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
