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Senior NLP Research Engineer
Patrick Durand
Full-time · Senior · New_York
About the role
Our laboratory develops natural language processing systems for clinical documentation — specifically, the automated extraction of structured clinical information from free-text physician notes and discharge summaries. The clinical NLP domain presents challenges that distinguish it from general-purpose NLP: domain-specific terminology, highly variable writing styles across practitioners, implicit reasoning chains that must be made explicit, and a tolerance for error that is substantially lower than most commercial applications. We are seeking a senior research engineer who operates at the intersection of applied research and production engineering. You will be expected to read and critically evaluate current literature, propose experimental directions grounded in evidence, implement and evaluate those experiments rigorously, and translate validated improvements into our production pipeline. The role requires both the analytical discipline of a researcher and the engineering judgement of someone who has shipped and maintained systems that real clinicians depend on.
Responsibilities
- Design and lead experiments to improve entity extraction accuracy on clinical text
- Evaluate and integrate recent NLP research into our production pipeline where validated
- Maintain and improve our evaluation benchmark suite for clinical NLP tasks
- Write technical reports on experimental outcomes for internal and external audiences
- Mentor two junior NLP engineers and contribute to their research development
Requirements
- 5+ years of NLP engineering with a demonstrable research component — publications, conference presentations, or substantive research contributions
- Deep familiarity with transformer architectures — you understand attention mechanisms, not just the Hugging Face API
- Production experience fine-tuning large language models for domain-specific tasks
- Strong Python engineering: modular, tested, documented code
- Experience with clinical or biomedical NLP corpora (MIMIC, i2b2, or similar) is a significant advantage
- Familiarity with evaluation frameworks specific to information extraction: span-level F1, entity-level metrics
- LangChain or equivalent for orchestrating multi-step NLP pipelines
Benefits
- Work on high-impact clinical NLP with real patient outcome implications
- Full remote with overlap required on US Eastern hours
- $120,000 – $155,000 base salary + equity
- Conference and publication budget: $3,500 annually
- Access to proprietary clinical datasets under IRB agreement
Job Type
Full-time
Level
Senior
Language
English
Salary Range
$120,000 – $155,000
AI Expertise
NLP & Prompt Engineering
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