Hybrid Clinical NLP Research Software Engineer

Johns Hopkins University; Baltimore (MD); Hybrid; USD 110,000 - 170,000; Full time

Job summary

A leading research institution seeks a Research Software Engineer - Clinical NLP to design and develop cutting-edge clinical NLP systems. This role involves collaborating with clinicians and researchers to implement NLP solutions that meet application goals. The ideal candidate will possess a strong background in machine learning and NLP, along with hands-on experience in secure healthcare environments. The position ensures impactful contributions to biomedical research through innovative data science applications.

Qualifications

• Masters in a quantitative discipline such as computer science, engineering, physics or bioinformatics.
• Three years’ experience working in software development in large clinical NLP projects.
• Experience with Python and modern NLP libraries in a secure healthcare environment.

Responsibilities

• Develop state-of-the-art clinical NLP solutions using advanced deep learning.
• Work on large data sets analysis in both cloud and on-premises setups.
• Translate project efforts into frameworks for future scientific infrastructure.

Skills

NLP

Machine Learning

Deep Learning

Python

Prompt Engineering

Education

Masters in a quantitative discipline

PhD in a quantitative discipline

Tools

Docker

Python Libraries for NLP

Linux

Job description

A leading research institution seeks a Research Software Engineer - Clinical NLP to design and develop cutting-edge clinical NLP systems. This role involves collaborating with clinicians and researchers to implement NLP solutions that meet application goals. The ideal candidate will possess a strong background in machine learning and NLP, along with hands-on experience in secure healthcare environments. The position ensures impactful contributions to biomedical research through innovative data science applications.