About the Role
What if your deep expertise in clinical analytics could directly shape how AI understands and interprets healthcare data — influencing systems that will inform real-world medical decisions for years to come?
We're looking for an experienced Clinical Business Intelligence Manager to lead analytics work that sits at the intersection of healthcare data and cutting-edge AI development. You'll guide BI teams in transforming complex clinical and operational datasets into trusted insights — and in doing so, help train AI models that need to reason accurately about healthcare.
This is a fully remote, flexible contract role built for senior healthcare data professionals who want meaningful, high-impact work without the rigidity of a traditional full-time position.
- 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 optimize BI infrastructure — including data models, SQL queries, and reporting pipelines — ensuring accuracy, reliability, and performance at scale
- Analyze clinical, operational, and performance datasets to surface meaningful trends, support leadership decisions, and drive improvements in care delivery and efficiency
- Translate complex healthcare data into clear, actionable insights for both technical and non-technical stakeholders
- Apply domain expertise to evaluate and improve AI-generated outputs related to clinical data interpretation and healthcare analytics
Who You Are
- Seasoned healthcare or clinical analytics professional with a strong track record in business intelligence or data management
- Experienced designing and managing end-to-end BI systems — dashboards, reporting pipelines, data models, and the infrastructure that holds it all together
- Comfortable working with clinical, operational, and administrative datasets in regulated healthcare environments
- A natural communicator who can bridge the gap between complex data and real-world healthcare decisions
- Self-directed and dependable — you deliver quality work without needing hand-holding
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training workflows
- Familiarity with EHR systems, FHIR standards, or healthcare interoperability frameworks
- Background in population health analytics, value-based care, or clinical quality reporting
- Experience working with or evaluating large language models (LLMs) in a healthcare context
Why Join Us
- Work on cutting-edge AI projects alongside the world's 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 meaningful, high-stakes work
- Gain direct exposure to advanced LLMs and the AI training pipelines shaping the future of healthcare intelligence
- Potential for ongoing work and contract extension as new projects launch