Research Associate - FELIX Lab Faculty

Position Summary

The Felix Lab is seeking a highly motivated and detail-oriented Research Associate to join our team focused on the early detection of pancreatic neoplasms using artificial intelligence and advanced imaging analysis. The candidate will lead data management, contribute to ongoing multi-institutional collaborations, and play a key role in the development of AI-driven diagnostic tools that improve early detection and characterization of pancreatic lesions on CT imaging.

This position also includes a leadership role in mentoring junior researchers and onboarding new team members, helping maintain the collaborative, inclusive, and high-performing culture of the lab.

• 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.

• 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.

• Experience in abdominal imaging.
• Familiarity with AI model evaluation and data harmonization techniques.
• Previous publications or abstracts in radiology or AI-focused research.

You’ll be part of a mission-driven team developing AI solutions to address one of the deadliest cancers. Our lab is highly collaborative, internationally diverse, and actively engaged in cutting‑edge research supported by strong institutional and external partnerships (e.g., Microsoft, Lustgarten Foundation). You’ll also play a central role in building and supporting a growing team.

Salary: $62,232 - $62,232 a year

Job Type: Full Time

The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range.

Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: .

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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