Data Scientist

Data Scientist – Healthcare AIRole: 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.