Clinical NLP Engineer

Required Skills & Experience

o Strong experience designing and deploying clinical NLP solutions to analyze unstructured patient notes and extract meaningful healthcare insights. o Hands-on expertise with machine learning, BERT/BioBERT/ClinicalBERT and similar models. o Experience with clinical NLP applications such as cohort identification, clinical phenotyping and risk stratification. o Knowledge of terminologies and ontologies such as SNOMED CT and ICD-10. o Proven background working directly within healthcare environments, supporting clinical research and patient-focused use cases rather than insurance or claims-based applications. o Experience building and customizing NLP workflows in Databricks, with exposure to LLM technologies and end-to-end model development in secure healthcare settings.

Job Description

A client of Insight Global is seeking a Research Software Engineer with expertise in Clinical NLP to develop and deploy advanced NLP and LLM solutions that extract insights from unstructured clinical data. This role focuses on building scalable models and pipelines for applications such as named entity recognition, diagnosis prediction, risk stratification, phenotyping, and structured data extraction. The ideal candidate has a strong academic background, experience applying NLP/LLMs in healthcare or biomedical research, and the ability to collaborate with clinicians, researchers, and data scientists to deliver robust, reproducible, and impactful solutions.

$150,000/yr to $200,000/yr.

Exact compensation may vary based on several factors, including skills, experience, and education.

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.