Research Engineer, Applied ML

About the role

We are looking for a Research Engineer to build applied NLP and LLM systems for healthcare and oncology workflows. You will work on real-world clinical text, information extraction, patient-trial matching, summarization, RWE abstraction, and structured outputs from clinical documents.

What you'll do

• Build prototypes and production-oriented components for clinical information extraction and LLM workflows
• Implement prompts, RAG pipelines, fine-tuning experiments, extraction logic, evaluation scripts, and error-analysis tools
• Work with senior engineers to improve model quality, robustness, and reliability
• Analyze clinical-text model failures and propose meaningful improvements
• Collaborate with Clinical AI Data Specialists to understand labeling guidelines, data quality issues, and clinical edge cases

What you need

• 1.5–4 yrs of experience
• Machine learning
• Research
• Python
• LLMs
• NLP
• Prompt engineering
• Any graduate

Good to have

• MLOps
• ETL
• Docker
• PyTorch
• Prototyping