Deep Learning Developer — Biomedical Image Analysis

Job overview

The Deep Learning Developer works onsite at the NIH campus in Bethesda, MD, with ad-hoc telework noted; the posting requires daily onsite reporting and residence within commuting distance. Compensation is $90,267–$103,808 per year. The work supports the Lister Hill Center’s clinical decision-making and prediction efforts. The developer builds deep learning methods using retinal images, genomic data, and clinical records to detect disease, classify severity, and predict progression. The role also develops and optimizes tools for Android, iOS, and web platforms to support clinical use.

What you'll do

• Develop deep learning models for retinal disease clinical decision support using images, genomic data, and clinical records
• create algorithms for disease detection, severity classification, and progression prediction
• build and optimize tools for Android, iOS, and web platforms
• apply medical image processing and classification methods and work with high-performance GPU environments.

What we're looking for

Skills & competencies

deep learning developer

biomedical image analysis

bethesda md

nih campus

$90,267–$103,808/year

retinal disease

medical imaging

python

pytorch

keras

gpu clusters

master’s degree

Work arrangement

• Weekend coverage required

Benefits & perks

• Competitive pay, benefits, and programs supporting work-life balance and employee preferences.

About the employer

Ripple Effect is hiring for this role. Industry: Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology). Sector: 54.