Your role

• Develop and optimize data processing pipelines for structured, semi‑structured, and unstructured clinical data
• Build, test, and deploy end‑to‑end AI workflows, including data ingestion, preprocessing, model training, evaluation, and inference
• Design and develop Retrieval‑Augmented Generation pipelines using embeddings, vector stores, and clinical knowledge sources
• Perform fine‑tuning of foundation models, including transformers and domain‑specific clinical models.
• Develop GenAI application workflows using APIs, e.g., Mistral, Anthropic, OpenAI, local open‑source models, agent frameworks
• Implement multilingual NLP pipelines – NER, entity linking, summarization, and ontology alignment
• Contribute to OMOP/FHIR‑based data harmonization workflows
• Support the development of agentic AI systems for clinical reasoning and decision support
• Contribute to documentation, scientific publications, and stak...