Clinical Business Intelligence Manager

Alignerr; Brasil; Remote; BRL 83,000 - 165,000; Part time

Benefits offered by this job

Fully remote

Flexible hours

Autonomy in contract work

Job summary

Alignerr is seeking a Clinical Business Intelligence Manager (AI Training) for a fully remote hourly contract. You will lead analytics projects at the intersection of healthcare and AI, turning complex clinical data into trusted insights while mentoring BI teams.

You will design dashboards, optimize data pipelines, and ensure data integrity across clinical and operational datasets. This role emphasizes independent work and flexible hours.

Qualifications

• Experience in healthcare analytics or BI leadership.
• Ability to design dashboards and data pipelines for clinical/operational use.
• Strong communication to translate data for non-technical stakeholders.

Responsibilities

• Lead BI teams to design and deliver dashboards and analytics for clinical decisions.
• Maintain BI infrastructure, data models, SQL queries, and reporting pipelines.
• Analyze clinical and operational datasets to surface trends for healthcare decisions.
• Translate complex data into actionable insights for diverse stakeholders.
• Apply healthcare domain knowledge to improve AI interpretation of clinical data.
• Work independently and asynchronously on schedule.

Skills

Healthcare analytics

Business intelligence

Data management

Tools

SQL

Data modeling

Job description

Clinical Business Intelligence Manager (AI Training)

About The Role

What if your deep expertise in clinical analytics could directly influence how AI understands and reasons about healthcare data? We're looking for experienced Clinical Business Intelligence Managers to lead analytics projects that sit at the intersection of healthcare and cutting-edge AI — turning complex clinical and operational data into trusted insights that matter.

This is a fully remote, flexible contract role built for seasoned healthcare data 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 BI teams 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 meaningful trends and support strategic healthcare decisions
• Translate complex data into clear, actionable insights for both technical and non-technical stakeholders
• Apply your healthcare domain expertise to evaluate and improve how AI systems interpret clinical data
• Work independently and asynchronously — fully on your own schedule

Who You Are

• Experienced in healthcare or clinical analytics, business intelligence, or data management
• Proven ability to design and manage BI systems — dashboards, reporting pipelines, data models
• Comfortable working with clinical, operational, and administrative datasets in regulated healthcare environments
• Strong communicator who can bridge the gap between raw data and real-world decisions
• Detail-oriented and rigorous — you care about data integrity and analytical precision
• Able to lead and guide teams with clarity and confidence

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI training workflows
• Familiarity with EHR systems, FHIR standards, or health data interoperability
• Background in population health, clinical operations, or quality improvement analytics
• Experience working with LLMs or AI-powered tools in a healthcare context

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-skill project work
• Apply your clinical expertise to a domain that's actively shaping the future of AI in healthcare
• Exposure to advanced large language models and how they're trained and evaluated
• Potential for ongoing work and contract extension as new projects launch