Duties: This analyst will work under the guidance of investigators in the Center for Biomedical Image Computing and Analytics (http://www.cbica.upenn.edu/, CBICA), Director, Christos Davatzikos, PhD.
The work involves applying, testing, validating and extending advanced image processing algorithms and protocols on multi-modal magnetic resonance brain images, collection, organization and verification of final quantitative results, performing data analysis, preparing and extending processing pipelines, and applying these pipelines on magnetic resonance brain imaging datasets from various studies involving both structural and functional data.
Strong computational skills (knowledge of Python, statistical analysis packages, basic shell scripting, experience in Unix platform) will be preferred. The data analyst will collect and organize final quantitative and imaging results, perform basic analyses including machine learning applications and perform quality control on the results, and communicate with clinical collaborators for the dissemination and discussion of the results. This position offers the opportunity to gain valuable experience using advanced neuroimaging processing techniques and to apply these methods in the study of normal and pathological brain function.
CBICA has been a dynamically growing medical image analysis group, including several laboratories and many collaborators from diverse fields. Opportunities exist in many existing and new projects, including computational neuroanatomy of aging and neurodegenerative diseases.
Qualifications: A Bachelor's Degree and 2 years to 3 years of experience or equivalent combination of education and experience required. Experience with magnetic resonance imaging (MRI) analysis is required. Strong computer skills (knowledge of Python and/or Matlab, statistical analysis packages, basic shell scripting, experience in Unix platform) preferred.
Good organizational skills are also essential for the position. Experience with medical images is a plus.
Reference Number: 40-27720
Salary Grade: C
Employment Type: Exempt
Job Family: E-Information Systems/Technology