About the Role
What if your expertise in clinical analytics could directly shape how AI understands and improves healthcare? We're looking for an experienced Clinical Business Intelligence Manager to lead a team translating complex healthcare data into actionable insights — and in doing so, help train the AI systems that will influence how clinical decisions are made at scale.
This is a fully remote, flexible contract role for a seasoned healthcare analytics professional who knows how to turn raw clinical and operational data into trusted, decision-ready intelligence.
- 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
- Analyze clinical, operational, and performance data to surface trends, support leadership decisions, and drive improvements in care delivery and efficiency
- Translate complex healthcare datasets into clear, trusted insights that non-technical stakeholders can act on
- Collaborate with cross-functional teams to align analytics outputs with real-world clinical and organizational goals
- Contribute to AI training projects by applying your domain expertise to evaluate, annotate, and validate healthcare-related data and model outputs
Who You Are
- Experienced in healthcare or clinical analytics, business intelligence, or health data management
- Proven ability to design, build, and manage BI systems — including dashboards, reporting pipelines, and underlying data models
- Comfortable working with clinical, operational, and administrative datasets in regulated healthcare environments
- Strong communicator who can translate data complexity into clear, compelling narratives for leadership and clinical stakeholders
- Self-directed and reliable — you deliver quality work independently without close supervision
- Detail-oriented and methodical, with a genuine commitment to data accuracy and integrity
Nice to Have
- Prior experience with data annotation, data quality assessment, or AI evaluation workflows
- Familiarity with electronic health records (EHR) systems or healthcare interoperability standards
- Background in population health, quality improvement, or clinical operations analytics
- Experience working with or evaluating large language models (LLMs) in a healthcare context
Why Join Us
- Work on cutting-edge AI projects alongside world-leading research labs
- Fully remote and flexible — structure your work around your life, not the other way around
- Freelance autonomy with the substance of meaningful, high-stakes work
- Apply your clinical expertise to a domain that's actively shaping the future of healthcare AI
- Exposure to advanced AI model development and how LLMs are trained and evaluated
- Potential for ongoing work and contract extension as new projects launch