Research Assistant

Summary

The Johns Hopkins University is recruiting Research Assistants and Developers for the BodyMaps program, which focuses on building a three-dimensional atlas of the human body to enhance cancer detection and clinical AI deployment. The role involves leading medical AI research projects with mentorship from experienced professionals and collaboration with various institutions.

Responsibilities

• Lead a medical AI research project from conception through manuscript submission, often as first author
• Build and maintain the infrastructure powering large-scale medical imaging research, including data pipelines, annotation tools, and model deployment workflows

Skills

• Strong fit for students and early researchers (Undergrad, Master's, PhD, Postdoc) with backgrounds in computer vision, deep learning, or medical imaging
• Direct mentorship from Prof. Zongwei Zhou on every project
• Training in the full research lifecycle
• Access to a multi-institutional collaborator network
• A credible path to first-author publications at top venues in medical AI
• Full-time research commitment of approximately 35 to 40 hours per week
• Participation in one weekly group meeting and two smaller project meetings
• Positions can be in-person at Baltimore or remote, though in-person participation is encouraged
• Strong applicants typically submit a CV alongside completed warm-up training materials demonstrating hands-on familiarity with 3D medical imaging workflows

Qualifications

Must Haves

• Strong fit for students and early researchers (Undergrad, Master's, PhD, Postdoc) with backgrounds in computer vision, deep learning, or medical imaging
• Direct mentorship from Prof. Zongwei Zhou on every project
• Training in the full research lifecycle
• Access to a multi-institutional collaborator network
• A credible path to first-author publications at top venues in medical AI
• Full-time research commitment of approximately 35 to 40 hours per week
• Participation in one weekly group meeting and two smaller project meetings
• Positions can be in-person at Baltimore or remote, though in-person participation is encouraged
• Strong applicants typically submit a CV alongside completed warm-up training materials demonstrating hands-on familiarity with 3D medical imaging workflows

Benefits

• Direct mentorship from Prof. Zongwei Zhou on every project
• Training in the full research lifecycle
• Access to a multi-institutional collaborator network
• A credible path to first-author publications at top venues in medical AI
• JHU students can get research units with Prof. Zongwei Zhou