Clinical Business Intelligence Manager

Alignerr

Delhi

Remote

INR 5,189,000 - 10,377,000

Full time

18 hours ago
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Job summary

Alignerr is seeking a Clinical BI Manager to lead analytics at the intersection of healthcare data and AI training. This fully remote hourly contract offers 10–40 hours/week and a chance to influence AI reasoning on clinical datasets.

You will mentor a BI team, design data models, optimize pipelines, and surface actionable insights for leadership, with emphasis on data accuracy and reliability in regulated environments.

Qualifications

  • Experience in healthcare analytics and BI systems in regulated environments.
  • Ability to translate complex data into clear business insights.
  • Strong communication of technical findings to clinical and operational stakeholders.

Responsibilities

  • Lead and mentor a BI team to build dashboards and analytics for clinical and operational decisions.
  • Design, maintain, and optimize BI infrastructure including data models and reporting pipelines.
  • Analyze clinical and operational data to uncover trends and insights for leadership decisions.
  • Translate healthcare datasets into clear outputs to drive care delivery improvements and efficiency.
  • Evaluate and improve AI-generated outputs related to clinical analytics and healthcare data reasoning.

Skills

BI leadership
Healthcare analytics
SQL
Data modeling
Data visualization

Tools

Tableau
Power BI
Looker

Job description

Clinical Business Intelligence Manager (AI Training)
About The Role

What if your deep expertise in healthcare analytics could directly influence how AI understands and reasons about clinical data? We're looking for an experienced Clinical Business Intelligence Manager to lead analytics work that sits at the intersection of healthcare intelligence and cutting-edge AI development.

  • 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 that support clinical and operational decision‑making
  • Design, 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 uncover meaningful trends and surface insights that support leadership decisions
  • Translate complex healthcare datasets into clear, trusted outputs that drive improvements in care delivery and organizational efficiency
  • Apply your domain expertise to evaluate, quality‑check, and improve AI‑generated outputs related to clinical analytics and healthcare data reasoning
Who You Are
  • Experienced in healthcare or clinical analytics, business intelligence, or data management within regulated environments
  • Proven track record designing and managing BI systems — including dashboards, reporting pipelines, and data models
  • Comfortable working with clinical, operational, and administrative datasets and understanding their real‑world implications
  • Strong communicator who can translate technical findings into meaningful narratives for both clinical and operational stakeholders
  • Self‑directed and reliable — you deliver quality work independently without hand‑holding
Nice to Have
  • Prior experience with data annotation, data quality assurance, or evaluation systems
  • Familiarity with AI tools, LLM outputs, or AI training workflows
  • Background in health informatics, population health, or value‑based care analytics
  • Experience with tools such as Tableau, Power BI, Looker, or similar BI platforms
Why Join Us
  • Work alongside world‑leading AI research labs on genuinely cutting‑edge projects
  • Fully remote and flexible — structure your work around your life, not the other way around
  • Freelance autonomy with the substance of meaningful, high‑impact work
  • Gain direct exposure to advanced large language models and how they're trained and evaluated
  • Contribute clinical intelligence expertise to AI systems that will shape how healthcare data is understood at scale
  • Potential for ongoing work and contract extension as new projects launch
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