Lead imaging strategy and execution for clinical projects in respiratory and immunology at AstraZeneca. Drive cross-program initiatives and coordinate with data science for optimal outcomes.
Responsibilities
Define and lead the cross-program imaging strategy for assigned assets; translate disease biology into actionable imaging endpoints and decision points in the Clinical Development Plan (CDP)
Serve as the imaging voice on Global Project Teams and Clinical Program Teams, influencing asset strategy and investment
Lead selection, technical validation, and qualification of imaging endpoints (standard and exploratory), including modality/sequence selection, acquisition/reconstruction parameters, site readiness, and harmonization plans
Lead all aspects of imaging protocol build, imaging charters, manuals, and risk-based quality management
Partner with data science/biometrics to develop data flows (from DICOM to analysis-ready formats), ensure metadata completeness, and apply sophisticated analytics (e.g., radiomics, ML/AI, deep learning, quantitative segmentation)
Select and lead imaging CROs, core labs, and image analysis vendors; supervise technical performance and data quality
Anticipate and address regulatory expectations for imaging endpoints; contribute to interactions, submissions, and responses, including documentation of imaging methods, validation packages, and sensitivity analyses.
Present imaging strategies and readouts to governance and senior partners.
Requirements
At least 5+ years of experience with a Doctoral degree in an imaging-related field (PhD and/or MD) or equivalent sophisticated training
strong grounding in clinical imaging modalities, preferably CT and MRI, with strong understanding of acquisition and analysis
Consistent track record leading imaging endpoints in Phase I–IV trials, including develop, operationalization, and delivery in multicenter settings
Practical experience in quantitative image analysis and image informatics, including familiarity with DICOM standards, curation, harmonization, and quality control
Shown ability to analyze and interpret large, multimodal datasets (e.g., imaging + clinical + biomarkers/omics); experience working with statisticians and data scientists to build pre-specified analysis plans and validate algorithms
Strong cross-functional leadership and influence skills; success working in fast-paced, matrixed environments and driving decisions at asset and program governance
Excellent written and verbal communication, with the ability to translate sophisticated imaging and analytics concepts to diverse partners.
Benefits
health benefits including medical, prescription drug, dental, and vision coverage
short-term incentive bonus opportunity
eligibility to participate in our equity-based long-term incentive program (salaried roles)
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