Base: $123,000 to $205,000; bonus/equity: annual b...
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3+ years clinical imaging experience
Tumor assessment criteria expertise
Multiple radiological modalities knowledge
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The Oncology Imaging Scientist position at GlaxoSmithKline focuses on integrating high-quality imaging data into oncology clinical trials. The role requires expertise in clinical imaging and collaboration with cross-functional teams to ensure compliance and operational excellence in drug development.
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Job Summary
The role ensures high-quality imaging data is integrated into oncology clinical trials to support robust decision-making in drug development.
Candidates must possess experience with multiple radiological imaging modalities such as CT, PET, MRI, and scintigraphy alongside tumor assessment criteria like RECIST 1.1.
This hybrid position offers a competitive annual base salary ranging from $123,000 to $205,000 depending on location, along with comprehensive benefits including health care and retirement plans.
Matching Summary
Match Score: 75
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The Oncology Imaging Scientist position at GlaxoSmithKline focuses on integrating high-quality imaging data into oncology clinical trials. The role requires expertise in clinical imaging and collaboration with cross-functional teams to ensure compliance and operational excellence in drug development.
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Salary
Base: $123,000 to $205,000; Bonus/Equity: Annual bonus and share-based long term incentive program; Benefits: Health care, retirement, paid holidays, vacation, and parental leave
Skills & Requirements
Must-have
3+ years clinical imaging experience
Tumor assessment criteria expertise
Multiple radiological modalities knowledge
Clinical trial design and statistics
Scientific article authoring skills
Nice-to-have
Medical or PhD degree in imaging
CRO or pharma drug development experience
AI, ML, and GenAI imaging techniques
Radiomic and tumor growth kinetic methods
Cross-functional stakeholder collaboration
Key Requirements
Bachelor's degree in biomedical or imaging field
3+ years of clinical imaging experience
Experience with RECIST 1.1 and other criteria
Background in clinical trial design and statistics