Associate Researcher in MR Image Analysis at KINGS COLLEGE LONDON

job description
We have an exciting opportunity for a Research Associate with skills in MR image analysis to join us to help with a project funded by the Medical Research Council. The £3.5 million program grant, titled ‘Fetal Neurodevelopment in Childhood in People with Congenital Heart Disease Assessed Using MRI’, will improve our understanding of impaired brain development and neurodevelopmental disorders in people with coronary artery disease.

This role will involve the analysis of Diffusion MRI, fMRI, volumetry and other quantitative MRI data in the fetal, newborn and child brain. The incumbent should have experience developing and applying imagery analysis tools.
This position will be offered on a 3-year CDD
This is a full time position

Main responsibilities

Analysis & Research:
• Develop and undertake high quality research
• Analyze and interpret quantitative MR data and draw conclusions from the results
• Manage specific work items according to an agreed schedule and within a specific budget, including literature reviews, data collection and analysis, report writing.
• Work independently to frame, analyze and resolve research questions in line with project objectives
• Work with other members of the project team to write research papers for publication
• Continuously update knowledge and understanding of the domain and translate knowledge on advances in image analysis
• Contribute to the preparation of research proposals and seek career development opportunities through scholarship and grant opportunities and assist other team members to do the same
• Contribute to the dissemination of scientific results by writing or contributing to articles for publication, presenting orally and in poster form at internal and external meetings, seminars and conferences

• Communicate with multidisciplinary teams of mathematicians, computer scientists, biologists, physiologists and clinicians within the School of Biomedical Engineering and Imaging Sciences, other Schools and within the framework of collaborations with external institutions
• Work to enhance interdisciplinary progress by fostering productive relationships with clinical collaborators
• Communicate information of a complex nature both orally and in writing during regular meetings
• Help organize regular project planning meetings with research teams in addition to attending group meetings organized by others
• Keep colleagues informed of developments in recent literature

Decision making, planning and problem solving:
• Contribute to collaborative decision-making with colleagues within research teams
• Assist staff in compiling regulatory documentation by providing necessary data
• Develop and disseminate guidelines resulting from problem solving
• Plan and act independently to advance assigned projects and discuss them with research teams
• Work independently with only low-level supervision
• Assist and advise junior researchers and students in the planning and execution of their research

Delivery service:
• Adopt work systems as required by local rules
• Maintain registration and input data as required by the project

Teamwork, support for teaching and learning:
• Contribute to department teaching programs and provide student supervision as needed
• Work with colleagues on common projects as needed
• Write or contribute to publications and disseminate research results using appropriate media
• Collaborate with academic and industrial colleagues on areas of shared research interest
• Develop internal and external contacts, establish networks and relationships to ensure effective collaboration
• Attend and contribute to relevant meetings

Sensory/Physical Requirements and Work Environment:
• Be aware of hazards in the work environment and their potential impact on own work and that of others

• Contribute to the supervision and mentoring of visiting scientists and postgraduate students
• Support and respect other team members.

The above list of responsibilities may not be exhaustive and the post holder will be required to undertake the duties and responsibilities reasonably expected within the scope and classification of the post.

Skills, knowledge and experience

Essential criteria

1. BSc/MSc in a relevant subject
2. Doctorate awarded in a related field*
3. Knowledge and expertise in diffusion MRI pre-processing and analysis
4. Familiarity with neuroimaging tools (e.g. MRtrix, ANTs, DTK, FSL)
5. Proven programming and scripting skills
6. Expertise and knowledge of relevant computer programming languages
7. Experience writing and presenting research data
8. Demonstrated aptitude for research
9. Ability to work in a multidisciplinary team
10. Ability to work without close supervision, plan and prioritize workload
11. Ability to teach and ability to train research staff and students
12. Flexible approach to working hours and tasks

Desirable criteria

1. Familiarity with MRI technology, methodology and clinical application
2. Knowledge of graph theory and its applications in brain network analysis
3. Development of statistical methods and/or automatic learning of 3D imaging data for applications such as segmentation, registration
4. Experience with functional MRI pre-processing and analysis
5. Previous experience in neonatal and/or pediatric MRI processing

*Please note that this is a PhD level position, but applicants who have submitted their thesis and are awaiting their PhD will be considered. In these circumstances, the appointment will be in 5th year, spine 30 with the title of research assistant. Upon confirmation of the PhD award, the job title will change to Research Associate and the salary will increase to Grade 6.

More information

This post is subject to Disclosure and Barring Service clearance.