AI Imaging Research Lead – Data & Mentorship

Johns Hopkins University; Baltimore (MD); On-site; USD 70,000 - 100,000; Full time

Job summary

Johns Hopkins University in Baltimore is seeking a Research Associate for the Felix Lab to advance AI-driven detection of pancreatic neoplasms from CT imaging. You will lead data management, participate in multi-institution collaborations, and help develop imaging-based diagnostic tools.

The role includes mentorship of junior researchers and onboarding new team members, contributing to a collaborative and high-performing lab culture while ensuring rigorous data practices.

Qualifications

• MD or PhD in Radiology, Medical Imaging, Biomedical Engineering, Data Science, or related field.
• Demonstrated experience in clinical research and medical imaging (CT preferred).
• Strong data management skills and experience with REDCap, Excel, and SQL.
• Background in radiomics, machine learning, or medical AI is highly desirable.
• Excellent communication and leadership skills, with experience guiding junior researchers.

Responsibilities

• Oversee clinical data collection, de-identification, and organization of a large patient imaging cohort using REDCap and secure data systems.
• Perform manual image segmentation and curate CT imaging datasets for radiomics analysis.
• Collaborate with AI/ML engineers, postdocs, and radiologists to train, evaluate, and refine models for tumor detection and classification.
• Coordinate cross-departmental efforts, including pathology correlations and multidisciplinary team meetings.
• Lead and co-author research manuscripts, abstracts, and grant applications.
• Mentor postdoctoral fellows and lead onboarding and training efforts for new team members.

Skills

Data management

Medical imaging

Radiomics

Machine learning

Leadership

Communication

Education

MD or PhD in Radiology, Medical Imaging, Biomedical Engineering, Data Science, or related field

Tools

REDCap

Excel

SQL

Job description

Johns Hopkins University in Baltimore is seeking a Research Associate for the Felix Lab to advance AI-driven detection of pancreatic neoplasms from CT imaging. You will lead data management, participate in multi-institution collaborations, and help develop imaging-based diagnostic tools.

The role includes mentorship of junior researchers and onboarding new team members, contributing to a collaborative and high-performing lab culture while ensuring rigorous data practices.