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The data analyst will support imaging-related research conducted by investigators in the Computational Breast Imaging Group (CBIG) at the Department of Radiology, Center for Biomedical Image Computing and Analytics (CBICA). He/she will work collaboratively and will interface with faculty, research scientists, and trainees forming a diverse imaging and data science team. Responsibilities include collecting and organizing large datasets with clinical imaging data; applying, testing, validating and extending advanced image processing algorithms and protocols on medical images from various clinical studies in a distributed cloud computing environment; collecting, organizing and verifying final quantitative and imaging results; performing statistical analyses and hypothesis testing using advanced machine learning methods. The data analyst will also perform quality control on the results, and communicate with lab faculty, trainees, and clinical collaborators in preparation of publications. This position offers the opportunity to gain valuable experience using advanced medical image processing techniques and to apply these methods in the study of emerging cancer therapies. CBICA has been a dynamically growing medical image analysis group, including several research laboratories and many collaborators from diverse fields. Opportunities within CBIG exist in many projects on multi-modality imaging breast and lung cancer applications, including molecular imaging.
The position requires a BS degree, preferably in computer science, statistics, biomedical engineering, mathematics or a related discipline with an emphasis in computational methods, and 2 years of experience including at least one year of hands-on experience conducting image analysis, bioinformatics, and statistical analysis research or an equivalent combination of education and experience. Master’s degree is preferred. Strong computational/programming skills (advanced knowledge of C/C++ and Python, version control, statistical analysis packages, experience in Linux/Unix platforms and shell scripting) is a must. Good organizational and communication skills are also essential for the position. Experience with medical images and distributed cloud computing is a plus.
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