Post-Doctoral Fellowship - FELIX Laboratory Faculty

Overview

The Johns Hopkins University School of Medicine Department of Radiology in the Russell H. Morgan Department of Radiology and Radiological Science in Baltimore, MD is seeking a post-doc research fellow to be hired in the FELIX 2.0 laboratory. This is a full-time, post-doc position. We offer a competitive salary, vacation and excellent benefits. The FELIX 2.0 laboratory aims to change the trajectory of how pancreatic cancer is detected, how patients are evaluated, and improve outcomes.

Its mission is to harness the power of artificial intelligence, help radiologists and clinicians in detecting pancreatic cancer when it could have otherwise been missed. This is an innovative approach to a long-standing challenge, with collaboration among Johns Hopkins Medicine, the Lustgarten Foundation, and Microsoft AI for Good to pool resources and advance AI-driven care.

The position will include developing radiomics and deep learning models from contrast-enhanced computed tomography images to characterize pancreatic tumors, including cancer, cysts and other tumors. The candidate will work with internal and external databases, validate models on prospectively collected data, and help coordinate expert interpretation and manuscript writing under supervision.

• Collect and organize information and data that supports the study.
• Apply robust pipelines for radiomics characterization of CT images.
• Develop and implement machine learning and deep learning algorithms to analyze medical images.
• Perform statistical analysis to compare performance of the different approaches.
• Prepare reports and study findings to present to the PI.
• Prepare research manuscripts.
• Special knowledge, skills & abilities:
• Proficiency in programming languages such as Python, C++, R and MATLAB
• Strong theoretical understanding and practical experience in deep learning-based machine learning or natural language processing
• Strong background in statistical modeling
• Scientific writing
• Expertise in medical imaging processing or previous work in collaboration with healthcare professionals will be a plus.

• Ph.D. in computer science, biomedical engineering, or a related field.
• One year of experience with machine learning, deep learning and data analysis

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: (Use the "Apply for this Job" box below)..

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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