Data Scientist

Data Scientist – Healthcare AI Role: Data Scientist – Healthcare AI

Experience: 3+ years in Data Science/AI/ML; healthcare experience preferred

Education: Bachelor’s/Master’s/PhD in Data Science, Statistics, Computer Science, Mathematics, Healthcare Analytics, or related field.

Key Responsibilities:

• Develop AI/ML solutions for healthcare, clinical and operational use cases.

• Analyze EHR, clinical, imaging, operational and IoT data.

• Build predictive, statistical, NLP, forecasting and optimization models.

• Develop and evaluate Generative AI, LLM, RAG and agentic AI solutions.

• Work on Computer Vision for medical imaging and multimodal AI.

• Perform model validation, statistical analysis, explainability and fairness testing.

• Collaborate with clinicians, data engineers, AI/ML engineers and business stakeholders.

• Create dashboards and decision-support solutions using Power BI/Tableau/Streamlit.

• Ensure responsible AI, privacy, governance and clinical safety.

Must-Have Skills:

• Expert Python & SQL; R preferred.

• Pandas, NumPy, PySpark, scikit-learn, statsmodels.

• Strong statistics, ML, causal inference and forecasting.

• Healthcare AI / EHR / clinical data experience.

• Computer Vision: CNN, U-Net, Vision Transformers, DICOM.

• GenAI: LLMs, RAG, embeddings, vector search, prompt engineering and AI agents.

• Cloud/ML platforms such as Azure, Databricks, AWS/GCP.

• Strong communication and stakeholder-management skills.

• Preferred: Experience with Epic, FHIR, HL7, OMOP, medical imaging, clinical decision support and responsible/clinical AI governance.

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