Clinical Business Intelligence Manager

Alignerr; Miami (FL); À distance; USD 83 000 - 165 000; Plein temps

Résumé du poste

Alignerr is seeking a Clinical BI Manager to drive analytics design and delivery for AI training projects. You will lead a BI team, translate clinical data into actionable insights, and collaborate with AI researchers to ensure data readiness for model training.

This is a remote, hourly-contract role offering flexible scheduling and high-impact work across healthcare analytics. You will shape dashboards, data models, and reporting pipelines that support decision-making at scale.

Qualifications

• Experienced healthcare analytics professional with a strong background in clinical BI, data management, or health informatics.
• 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.

Responsabilités

• 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.

Connaissances

Clinical BI

Data management

Health informatics

Dashboards

Reporting pipelines

Data modeling

Stakeholder communication

SQL

BI tooling

Outils

SQL

BI tooling

Description du poste

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