Biomedical Data and Image Analyst at King’s College London

This post will work closely with Dr Paul Barber in the multidisciplinary Cancer Biology and Imaging Group of Prof. Tony Ng. Working within the KCL Comprehensive Cancer Centre and Cancer Research UK City of London Centre, the post holder will be exploiting machine learning and deep learning in very clinically and patient facing research, to predict diagnosis, risk, treatment response and prognosis. The position entails combining data from multiple modalities, such as immune profiling, cell imaging, blood tests and medical imaging using novel machine learning methods to predict patient outcome. A significant subset of these activities will be developing algorithms to analyse imaging CyTof and immunofluorescence image data. This will involve exploiting image features segment and identify individual cells in 2D and 3D, and then measure morphological and positional statistics from tissue and organoid samples.

This post will be offered on a fixed-term contract for 3 years.

This is a full-time post – 100% full time equivalent.

• To work within the research group and the Cancer Research UK City of London Centre to achieve project objectives.
• To develop software algorithms for image and signal processing.
• To provide data analysis and machine learning expertise and support to a range of multidisciplinary projects within the City of London Centre.
• To maintain detailed and precise laboratory notes and software documentation.
• To understand relevant mathematics, software and the relevant literature. sufficiently to advise and support effectively and take own ideas forward and lead new analyses.
• To attend, and report research results at regular group and national or international meetings.
• To contribute to the dissemination of scientific results by means of writing papers for publication and presenting orally and in poster form at national and international meetings.

The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.

Skills, knowledge, and experience

Essential criteria

1. Bachelor’s degree in Physics, Mathematics, life sciences, biomedical sciences, Engineering or Computer Science or another relevant quantitative subject (BSc, BEng or similar) and an MSc in Data Science or Machine Learning or other relevant and equivalent qualification.
2. Demonstrable knowledge and prior work with machine learning.
3. Strong software and data processing skills: experience of programming in one or more languages (e.g. R, Python).
4. Practical experience of algorithm development for image and/or data processing.
5. Experience of presentation of data at meetings and seminars.
6. Experience in writing scientific manuscripts.
7. Laboratory management including maintenance of logs, record-keeping and organizational skills.
8. Ability to work as part of a team and willingness and ability to exchange information with team members, internal and external contacts.
9. Ability to organise and prioritise work.

Desirable criteria

1. A PhD in a relevant field of research.
2. Experience in writing research proposals.
3. Experience with student supervision.