The imaging data scientist will work within the Translational Medicine Team to deliver data analysis related to internal and external research projects primarily focused on lung image analysis. The role sits within the Translational Medicine team, but als work closely with the algorithm development team. The data scientist will be responsible for the analysis of thoracic imaging and clinical datasets acquired through external collaborations. The post holder will be responsible for curating, 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.

The position sits within the core lab team within Translational Medicine and reports directly into the Clinical Lead for Translational Research. Although the role is primarily focused on thoracic imaging there may be opportunities and requirements for the post holder to work in extra thoracic imaging projects.

Requirements

Key Responsibilities:

• Analysis of imaging-based and clinical research projects

• Collaboration with external academic 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

Essential Requirements:

• Degree in relevant scientific or technical field

• 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)

Desirable Requirements:

• 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

Benefits

• Private Medical Insurance
• Dental and Optical cover
• Group Life Assurance
• Pension
• Employee Assistance Programme