Clinical Imaging Data Scientist

The imaging data scientist will work within the Translational Medicine Team to deliver data analysis related to internal and external research projects. The role will report to the Senior Medical Director, but also work closely with the algorithm development team. The data scientist will be responsible for the analysis of internally held imaging and clinical datasets acquired through external collaborations. The post holder will be responsible for curating, quality checking, processing and analysing data, summarising and reporting findings, and communicating with external collaborators.

The data scientist will also support internal and external research planning activities of Brainomix, as well as contribute to research publications.

• Curation of large imaging and clinical datasets
• Data quality checking
• Analysis of imaging-based and clinical research projects
• Collaboration with external partners
• Internal collaboration with Research and Development team to deliver research projects and feedback on algorithm design
• Communication of scientific results with wider team and collaborators
• Planning research and drafting research protocols
• Reporting research results, contributing to academic and commercial outputs

• Degree in relevant scientific or technical field (preferably higher degree, masters/PhD)
• Experience working with research imaging data analysis (CT and/or MRI)
• Experience of analysis in clinical research settings
• Training in statistical methodology
• Experience of working in a research team
• Publication of peer-reviewed scientific papers

• Competent in imaging handling and scripting for image processing (e.g. bash/python)
• Familiarity with clinical research protocols
• Excellent communication (verbal and written), including graphical content
• Good project management skills
• Competence with data analysis and statistical software (‘R’ or equivalent)
• Experience with machine learning for image analysis desirable but not required

• Private Healthcare Plan
• Pension Plans
• Life Assurance
• Employee Assistance Programme