Lead Data Scientist

Location: Bangalore, Hybrid
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Type: Full-time
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Experience - 5-7 Years

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About Us

XCaliber is the operating platform for healthcare and health tech organizations, enabling real-time decision-making and autonomous workflows. Our platform powers healthcare-specific copilots through three core products: an Interoperability Gateway (out-of-the-box access to Epic, athena, Elation, eCW, and more), a Healthcare Data Fabric for clean, connected data, and Agentic Workflows for automation at scale. The result: faster integrations, lower costs, and improved patient care.

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‍What You Will Work On
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As a member of our core engineering team, you will:

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• Lead the design, development, and deployment of AI solutions and intelligent agents in healthcare.
  
• Architect and optimize scalable pipelines for diverse clinical data sources, including lab results, vital signs, clinical notes, imaging, and metadata.
  
• Design and train custom models that enable advanced agent capabilities such as memory, continuous learning, and adaptive improvement.
  
• Develop knowledge-grounded agent capabilities by integrating clinical guidelines, medical literature, and real-world evidence.
  
• Establish evaluation frameworks and guardrails to ensure agent outputs are clinically accurate, factually sound, and compliant with regulatory standards.
• Define data strategies and models to support diverse query use cases, including:
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  • Analytical queries across populations and cohorts
  • Patient-centric queries that enable agents to accurately represent a patient’s care journey
• Drive research initiatives in multimodal healthcare AI, clinical NLP, and medical knowledge integration.
• Mentor and guide a team of data scientists, setting best practices for clinical AI development.

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What We’re Looking For

• Proven expertise in data science and machine learning, with strong programming skills in Python (preferred) and familiarity with Go for building healthcare agents.
• Deep understanding of healthcare data standards, clinical workflows, and medical terminology.
• Demonstrated experience applying ML and NLP techniques to healthcare data, including time-series modeling, natural language processing of clinical text, and multimodal data integration.
• Hands-on experience with EHR systems, claims data, lab results, and medical imaging datasets.
• Strong track record in MLOps, model deployment, and building production-scale AI systems.
• Ability to translate cutting-edge research into practical, real-world solutions, including implementing methods from academic papers into deployable applications.
• Proven leadership skills to set technical direction, manage cross-functional collaboration, and mentor junior team members.

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What You'll Gain

Work at the intersection of AI, healthcare, and data engineering with a team of top-tier technologists. Opportunity to contribute to open-source tools and SDKs as part of your development journey.

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