Data Scientist

Responsibilities:
Analyse 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 a focus on clinical accuracy, fairness, and safety metrics.
Requirements:
Strong programming skills in Python (preferred) or 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.

Experience
2-5 yrs