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.

This role is ideal for someone who enjoys hands-on model development, experimentation, evaluation, and building practical ML systems that can eventually move toward production.

WHAT YOU WILL 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.

- Collaborate with ML Evaluation Engineers to run benchmark and regression tests.…