Imaging Specialist Quantitative Imaging & Dosimetry Support

About the Role

This is an execution-focused opportunity for an Imaging Specialist to help ensure that clinical imaging and dosimetry data are complete, technically robust, and ready for confident scientific review. You will work at the intersection of medical imaging, data quality, and clinical research, contributing practical technical expertise while building capabilities within a collaborative global environment.

Key Responsibilities

• Perform technical quality review of PET, SPECT, CT, MRI and other clinical-trial imaging datasets, assessing protocol adherence, completeness, acquisition parameters, metadata, reconstruction settings, calibration documentation, and suitability for analysis.
• Review image-derived datasets and dosimetry deliverables against established requirements, including segmentation outputs, lesion-tracking information, quantitative measurements, calibration documentation, and associated records.
• Conduct structured verification checks to identify discrepancies, outliers, and potential technical concerns, then prepare accurate, complete, and traceable datasets for expert review.
• Support targeted image reviews and structured deep-dive re-evaluations when image-quality concerns, unexpected findings, data discrepancies, or technical questions arise.
• Execute defined image analyses, measurements, summaries, reports, and visualisations under established procedures, escalating matters that require scientific interpretation or methodological decisions.
• Support phantom-based qualification and quantitative imaging assessments, including recovery coefficients, calibration factors, performance metrics, measurement uncertainty, reproducibility, and consistency across scanners or studies.
• Contribute to process improvements, templates, work instructions, tracking tools, and standard practices, while coordinating with internal stakeholders and technical service-provider contacts to resolve data-quality questions through established channels.
• Coordinate with internal stakeholders and, where needed, technical contacts at imaging or dosimetry service providers to clarify deliverables and resolve data-quality questions, without owning the vendor relationship; provide limited technical input on site-generated imaging or qualification materials through established channels rather than serving as the primary site contact.

Requirements & Tech Stack

• Bachelor's degree in Medical Physics, Biomedical Engineering, Imaging Science, Nuclear Medicine Technology, Radiologic Sciences, Physics, Engineering, Life Sciences, Computer Science, or a related scientific discipline.
• Experience working with clinical imaging data in an imaging core laboratory, imaging service provider, healthcare imaging environment, pharmaceutical development organisation, or a related setting.
• Practical experience supporting PET, SPECT, CT, MRI, or other medical imaging modalities, with familiarity with DICOM data, image metadata, and clinical imaging workflows.
• Experience in image review, image-quality assessment, technical data review, quality-control activities, or quantitative imaging support.
• Strong analytical, organisational, and problem-solving skills, with close attention to detail and a clear commitment to data quality, traceability, and compliance.
• Ability to work effectively in cross-functional teams and communicate technical findings clearly in spoken and written English.
• Experience or exposure in one or more relevant areas such as clinical-trial imaging, nuclear medicine, molecular imaging, radioligand therapy, theranostics, phantom qualification, image quantification, calibration assessment, segmentation, dosimetry workflows, or imaging-analysis tools.
• Desirable: Hands-on experience with imaging-analysis tools or scripting environments such as MIM, PMOD, Flywheel, MATLAB, or Python.
• Desirable: Exposure to regulated clinical development, Good Clinical Practice, controlled documentation, or audit-ready data processes.

Location

• Hyderabad, India
• Working Model: Hybrid
• Domestic Relocation Support: Available