Medical Imaging Scientist
- Employer
- St. Jude Children's Research Hospital
- Location
- Bo Bo, IN
- Closing date
- Oct 4, 2021
View more
- Sector
- Science, Allied Health and Social Care, Radiography / medical imaging
- Organization Type
- Corporate
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Responsibilities
Combine strong knowledge of medical imaging, data science, and development of pipelines and algorithms to process longitudinal multimodality imaging (MRI, PET, CT, CBCT), radiation dose distribution, and patient outcome data (derived from clinical trials)
Develop novel applications of imaging technology for advancing tumor targeting, normal tissue avoidance and radiation treatment planning in the pediatric population
Participate in scientific activities with high clinical relevance (e.g. imaging optimization, data collection, data analysis and modeling, phantom measurements, experimental validation, quality assurance)
Conduct scientific research and actively contribute to publications in peer-reviewed journals and grant applications
Collaborate with an inter-disciplinary team (medical physicists, radiation oncologists, medical imaging scientists, IT staff and software engineers, clinical research associates and radiation therapists, to name a few) to improve clinical trial data collection, data storage and management and data analysis
Provide guidance and training to postdoctoral fellows, students, and clinical staff
Minimum Education
Ph.D. in biomedical engineering, medical physics, computer sciences, electrical engineering, or related scientific field required
Minimum Experience
Two (2) years research experience in medical image analysis and processing beyond PhD is required
Advanced knowledge of multimodality medical imaging
Familiarity with computational tools and advanced programming experience (e.g. MATLAB, Linux, Python, R, C/C++, Java, ITK, SPM, FSL)
Excellent written and communication skills (evidence of first-authored scientific publications in peer-reviewed journals)
Experience with machine learning and/or AI is preferred
Combine strong knowledge of medical imaging, data science, and development of pipelines and algorithms to process longitudinal multimodality imaging (MRI, PET, CT, CBCT), radiation dose distribution, and patient outcome data (derived from clinical trials)
Develop novel applications of imaging technology for advancing tumor targeting, normal tissue avoidance and radiation treatment planning in the pediatric population
Participate in scientific activities with high clinical relevance (e.g. imaging optimization, data collection, data analysis and modeling, phantom measurements, experimental validation, quality assurance)
Conduct scientific research and actively contribute to publications in peer-reviewed journals and grant applications
Collaborate with an inter-disciplinary team (medical physicists, radiation oncologists, medical imaging scientists, IT staff and software engineers, clinical research associates and radiation therapists, to name a few) to improve clinical trial data collection, data storage and management and data analysis
Provide guidance and training to postdoctoral fellows, students, and clinical staff
Minimum Education
Ph.D. in biomedical engineering, medical physics, computer sciences, electrical engineering, or related scientific field required
Minimum Experience
Two (2) years research experience in medical image analysis and processing beyond PhD is required
Advanced knowledge of multimodality medical imaging
Familiarity with computational tools and advanced programming experience (e.g. MATLAB, Linux, Python, R, C/C++, Java, ITK, SPM, FSL)
Excellent written and communication skills (evidence of first-authored scientific publications in peer-reviewed journals)
Experience with machine learning and/or AI is preferred
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