Data Scientist

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Location: Bangalore, Hybrid

‍ Type: Full Time

‍ Experience : 1 - 2 Years. ‍ 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.

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

• Analyze and model healthcare data to understand clinical patterns, patient journeys, and care delivery workflows across structured and unstructured datasets.
• Build data-driven AI agents that leverage clinical knowledge, patient data, and evidence-based decision making.
• Design pipelines for clinical data including lab results, vital signs, metadata, and clinical notes.
• Create knowledge-grounded agent capabilities that combine clinical guidelines, medical literature, and real-world evidence.
• Implement evaluation frameworks for healthcare AI models with focus on clinical accuracy, fairness, and safety metrics. What We’re Looking For
• Strong programming skills in Python (preferred), Go for building healthcare agents with experience in data science libraries (pandas, numpy, scikit-learn etc)
• Healthcare domain knowledge with understanding of clinical workflows, medical terminology, and healthcare data standards is a plus.
• Experience with machine learning & NLP concepts applied to healthcare data including time-series, and natural language processing of clinical text.
• Familiarity with clinical data sources such as EHR systems, claims data, lab results, and medical imaging.
• Experience with MLOps tools and model deployment pipelines for production applications. 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. Join The Team Build the Future of Healthcare With Us - We’re looking for ambitious minds, builders, operators, creatives, and domain experts who want to shape how AI transforms healthcare from the ground up. If you’re passionate about impact, we want to hear from you! Work on cutting-edge agentic AI tech redefining healthcare infrastructure Collaborate with a mission-driven team of builders and problem-solvers Join at an inflection point — early enough to shape the company’s future Our clients trust us Job title Full name* Email Address* Upload Your Application* utm_campaign utm_content utm_medium utm_source utm_term XCaliber Health Is Committed To Protecting And Respecting Your Privacy, And We’ll Only Use Your Personal Information To Administer Your Account And To Provide The Products And Services You Requested From Us. From Time To Time, We Would Like To Contact You About Our Products And Services, As Well As Other Content That May Be Of Interest To You. If You Consent To Us Contacting You For This Purpose, Please Tick Below To Say How You Would Like Us To Contact You:
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Location: Bangalore, Hybrid

‍ Type: Full Time

‍ Experience : 1 - 2 Years. ‍ What You Will Work On

As part of our core engineering team, you will:

• Analyze and model healthcare data to understand clinical patterns, patient journeys, and care delivery workflows across structured and unstructured datasets.
• Build data-driven AI agents that leverage clinical knowledge, patient data, and evidence-based decision making.
• Design pipelines for clinical data including lab results, vital signs, metadata, and clinical notes.
• Create knowledge-grounded agent capabilities that combine clinical guidelines, medical literature, and real-world evidence.
• Implement evaluation frameworks for healthcare AI models with focus on clinical accuracy, fairness, and safety metrics. What We’re Looking For
• Strong programming skills in Python (preferred), Go for building healthcare agents with experience in data science libraries (pandas, numpy, scikit-learn etc)
• Healthcare domain knowledge with understanding of clinical workflows, medical terminology, and healthcare data standards is a plus.
• Experience with machine learning & NLP concepts applied to healthcare data including time-series, and natural language processing of clinical text.
• Familiarity with clinical data sources such as EHR systems, claims data, lab results, and medical imaging.
• Experience with MLOps tools and model deployment pipelines for production applications. 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.