Clinical Business Intelligence Manager

Alignerr; Ireland; Remote; EUR 83,000 - 152,000; Part time

Job summary

Alignerr is seeking a Clinical BI Manager to lead analytics projects translating healthcare data into actionable insights and to help train AI systems in clinical contexts. You will mentor a BI team and shape data strategies across dashboards, data models and reporting pipelines.

You’ll work remotely as a freelance contractor, with flexible hours (10–40 per week) and opportunities for ongoing engagement on AI training workflows and healthcare informatics initiatives.

Qualifications

• Experience in healthcare analytics and BI systems.
• Design and manage BI dashboards, reports, and data models in real-world healthcare environments.
• Comfortable handling clinical, operational, and regulated data.
• Ability to translate complex data into clear insights for non-technical stakeholders.
• Experience supporting AI training workflows in data-rich domains.

Responsibilities

• Lead and mentor a BI team delivering dashboards, reports, and analytics for clinical decision-making.
• Maintain and optimize BI infrastructure, including data models and reporting pipelines.
• Analyze healthcare datasets to surface trends and support leadership decisions.
• Translate healthcare data into clear, trusted insights for stakeholders.
• Evaluate and improve AI-generated outputs related to clinical data and analytics workflows.

Skills

Healthcare analytics

BI dashboards

Data modeling

SQL

Python

Tableau/Power BI

Tools

SQL

Python

Tableau

Power BI

Job description

Clinical Business Intelligence Manager (AI Training)

About The Role

What if your deep expertise in clinical analytics and healthcare data could directly shape how AI understands and reasons about some of the most complex, high-stakes information in the world? We’re looking for an experienced Clinical Business Intelligence Manager to lead analytics projects that translate healthcare data into meaningful insights — and in doing so, help train the next generation of AI systems to think more clearly about clinical and operational realities.

This is a fully remote, flexible contract role built for experienced healthcare data professionals who want to do 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 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 datasets to surface trends, support leadership decisions, and improve care delivery efficiency
• Translate complex healthcare data into clear, trusted insights that non‑technical stakeholders can act on
• Apply your domain expertise to evaluate and improve AI‑generated outputs related to clinical data, analytics workflows, and healthcare systems

Who You Are

• Experienced in healthcare or clinical analytics, business intelligence, or health data management
• Proven track record designing and managing BI systems — dashboards, reporting pipelines, and data models — in real‑world healthcare environments
• Comfortable working with clinical, operational, and administrative datasets in regulated settings
• Strong communicator who can bridge the gap between complex data and clear decisions
• Self‑directed and reliable — you deliver quality work without needing to be hand‑held

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI training workflows
• Familiarity with clinical coding systems, EHR platforms, or population health tools
• Background in healthcare informatics, epidemiology, or health systems research
• Experience working with or evaluating large language models (LLMs)

Why Join Us

• Work on cutting‑edge AI projects alongside leading AI research labs
• Fully remote and flexible — structure your hours around your life
• Freelance autonomy with the depth and variety of meaningful, expert‑level work
• Direct exposure to how advanced LLMs are trained and evaluated using real‑world domain knowledge
• Contribute to AI development that could ultimately improve how healthcare data is understood at scale
• Potential for ongoing work and contract extension as new projects launch