Research Program Assistant II

Johns Hopkins University

Baltimore, MD

ID: 7098612
Posted: April 26, 2022
Application Deadline: Open Until Filled

Job Description

The Department of Radiology is seeking a Research Program Assistant II who will work independently and report to the PI to analyze CT images of patients to explore clinical utility of radiomics features in predicting prognosis. The work includes to compute radiomics features using our in-house developed software and to study the correlation to clinical outcomes.



Specific Duties & Responsibilities:

Assist the implementation of Synthetic CT from MRI Imaging research project by using AI algorithm to collect, process, and assign CT data under the supervision of faculty PI.
Explore various deeper learning algorithms with supervised machine learning to reach predefined ground truth outcome.
Create the statistical analysis for the study
Prepare reports and study finding to present to PI
Maintain research Files
Study the correlation to clinical outcomes.


Minimum Qualifications (Mandatory):

High School Diploma/GED, and a minimum of 2 years of related experience.
Additional education may substitute for experience as permitted by the JHU equivalency formula.*


* JHU Equivalency Formula: 30 undergraduate degree credits (semester hours) or 18 graduate degree credits may substitute for one year of experience. For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job.



Preferred Qualifications:

Bachelor's Degree in computer science preferred.
Knowledge in statistical analysis and data analysis (SPSS or MATLAB) and excellent communication skills preferred.


Special Knowledge, Skills & Abilities:

Mathematical understanding of classification (not limited to a specific methodology but experience of random forest or deep learning techniques is preferred) is required.
Programming ability (C++, Python, Matlab, or R, etc.) is required.
Knowledge of basic (bio) statistics and SPSS is required.
Knowledge of basic image processing (or computer vision) and geometry are preferred.
Basic background of medical images (especially CT) and analysis experience is preferred.