Clinical Business Intelligence Manager (AI Training)
About The Role
What if your deep expertise in clinical analytics and business intelligence could directly shape how AI understands and interprets healthcare data We're looking for an experienced Clinical Business Intelligence Manager to lead analytics initiatives that connect clinical, operational, and performance data to real-world healthcare decisions — and help train the AI systems that will power the next generation of health technology.
This is a fully remote, flexible contract role built for senior healthcare data professionals who want meaningful, high-impact work on their own terms.
- 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
- Design, maintain, and optimize BI infrastructure — including data models, SQL queries, and reporting pipelines — to ensure accuracy, reliability, and performance
- Analyze clinical, operational, and performance datasets to surface trends and insights that drive care delivery improvements and organizational efficiency
- Translate complex healthcare data into clear, trusted outputs that inform leadership decisions across clinical and administrative functions
- Apply your domain expertise to evaluate and improve AI-generated healthcare analytics content, ensuring outputs meet the standards of real clinical environments
- Work independently and asynchronously on task-based assignments — fully on your own schedule
Who You Are
- Experienced in healthcare or clinical analytics, business intelligence, or data management within regulated healthcare environments
- Proven track record designing and managing BI systems — including dashboards, reporting pipelines, and data models
- Strong command of SQL and familiarity with modern BI and reporting tools
- Deep experience working with clinical, operational, and administrative datasets
- Comfortable leading or mentoring analytics teams and communicating insights to non-technical stakeholders
- Detail-oriented, self-directed, and reliable when working independently
Nice to Have
- Prior experience with data annotation, data quality assessment, or evaluation systems
- Exposure to AI tools or machine learning workflows in a healthcare context
- Background in health informatics, population health, or clinical decision support
- Familiarity with EHR systems, claims data, or interoperability standards (HL7, FHIR)
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 of meaningful, high-value work
- Direct exposure to advanced large language models and how they're trained on domain-specific data
- Contribute to AI development that has real implications for healthcare quality and patient outcomes
- Potential for ongoing work and contract extension as new projects launch
