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Engineering
Data Scientist
Bangalore, Hybrid
Apply for this Job
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
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Engineering
Data Scientist
Bangalore, Hybrid
Apply for this Job
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.
