Research Associate in Biomedical Engineering/Computing (Part- time)

London South Bank University is a modern, dynamic university with a long history of leading the way in applied education and practice-led learning. With over 17,000 students and 2,000 staff from over 130 countries, we work together to foster the development of graduates, ready to address business and societal challenges.

We are highly commended as an Outstanding Entrepreneurial University and continue to be recognised as a leading global university for Reducing Inequalities. We are one of the leading modern London universities in the Guardian rankings and we are proud that our graduates are the highest paid on average amongst all London Modern universities.

The University forms a central part of the LSBU Group, London's first integrated tertiary education group. Comprising London South Bank University, South Bank Colleges, and South Bank Academies, we continue to lead the way on learner-centred, skills-focused education.

Our new strategy, Connecting, sets out a bold, ambitious vision for LSBU Group focused on delivering good jobs for all our learners. Through Connecting, we will redefine tertiary education for a global, technology-driven economy - rooted in London.

Turning passion into purpose, our ambition is to create educational pathways that empower people of all backgrounds and talents to realise their aspirations. To realise our ambition, we need people with energy, courage and imagination, who are enthused by our vision and recognise our values as theirs.

The role involves supporting the international PROSPER study, which is investigating post-operative recurrence in Crohn's Disease. Reporting to Professor Enrico Grisan, you will work on the bioinformatic and clinical data strands of the study - exploring disease trajectories and developing network and multi-layer network approaches to characterise patient outcomes.

This part-time, one-year post offers the successful candidate the opportunity to integrate network and bioinformatic analyses with the imaging biomarkers generated elsewhere in the consortium, applying computational methods to a real-world, multicentre clinical dataset. The role is based in London (hybrid working), with the possibility of periods of working overseas alongside consortium partners.

What you will bring:

• A PhD in Biomedical Engineering, Bioinformatics, Computational Biology, Data Science, or a related quantitative field.
• Practical experience analysing clinical and/or omics data, including handling of longitudinal or disease-trajectory data.
• Practical experience building and deploying ML/DL pipeline and their application to biomedical or clinical questions.
• Familiarity with network science / multi-layer network methods and their application to biomedical or clinical questions.
• A collaborative mindset and willingness to work with international clinical and imaging teams.

Benefits:

As a leading Higher Education Institution, LSBU offers staff a highly competitive benefits package including holiday entitlement starting at 26.5 days per annum, professional development opportunities and flexible working.

This role is not eligible for sponsorship under the UKVI Skilled Worker route. We are happy to talk flexible working and reasonable adjustments and aim to make our recruitment and selection process accessible to all.

The diversity of LSBU's staff and students is a source of our strength and the richness of ideas and perspectives that this diversity brings makes LSBU a unique place to work.