Clinical Business Intelligence Manager

Clinical Business Intelligence Manager (AI Training)
About The Role
What if your expertise in healthcare analytics could directly shape how AI understands and interprets clinical data — influencing systems that will support better patient outcomes for millions of people?
We're looking for an experienced Clinical Business Intelligence Manager to lead analytics design and delivery for cutting-edge AI projects. You'll guide BI teams in transforming complex clinical and operational data into trusted, actionable insights — and in doing so, help define how the next generation of AI models understands healthcare.
This is a fully remote, flexible contract role built for seasoned healthcare analytics professionals who want meaningful, high-impact work on their own schedule.
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 pipelines that support clinical and operational decision-making
Maintain and optimize BI infrastructure — including data models, SQL queries, and reporting tools — ensuring accuracy, reliability, and performance at scale
Analyze clinical, operational, and performance datasets to uncover meaningful trends and surface insights that drive care quality and organizational efficiency
Translate complex, multi-source healthcare data into clear, trusted outputs for leadership and cross-functional stakeholders
Collaborate with AI research teams to ensure clinical data is structured, validated, and ready for model training and evaluation
Who You Are
Experienced healthcare analytics professional with a strong background in clinical BI, data management, or health informatics
Proven ability to design, build, and manage end-to-end BI systems — including dashboards, reporting pipelines, and data models
Comfortable working with clinical, operational, and administrative datasets in regulated healthcare environments
Strong communicator who can translate data complexity into clear narratives for clinical and non-technical audiences
Self-directed and reliable — you deliver quality work independently without needing close supervision
Nice to Have
Prior experience with data annotation, data quality assessment, or AI evaluation systems
Familiarity with healthcare interoperability standards (HL7, FHIR, ICD coding)
Experience working with or evaluating large language models (LLMs) in a healthcare context
Background in population health, quality reporting, or value-based care analytics
Why Join Us
Work at the intersection of healthcare intelligence and frontier AI — a rare and genuinely exciting space
Fully remote and flexible — structure your hours around your life, not the other way around
Freelance autonomy with the substance of meaningful, technically complex work
Direct exposure to how advanced AI models are trained and evaluated in high-stakes domains
Collaborate with world-class AI research teams and labs on projects that matter
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes