This post is based in Professor Jasmin Fisher's laboratory at the UCL Cancer Institute.
We are seeking a highly motivated and talented Senior Research Fellow in Software Development to join an ambitious and multidisciplinary research programme focused on understanding cancer using AI to generate digital tumour twins. This programme aims to transform cancer research and precision oncology by developing a new generation of transparent, interpretable and trustworthy AI technologies that integrate machine learning, mechanistic modelling, formal verification and large-scale biomedical data.
About the role
The successful candidate will play a central role in the design and development of a neurosymbolic AI platform for cancer. They will contribute to the integration and analysis of large-scale multi-omics and clinical cancer datasets, the development and fine-tuning of AI models and the creation of explainable and verifiable computational frameworks for tumour digital twins.
This is an exceptional opportunity for an ambitious research software development engineer (RSDE) who is passionate about applying cutting-edge formal verification and AI technologies to challenging real-world problems in biomedicine.
Appointment at Grade 7 and Grade 8 is dependent upon the successful award of a PhD. Candidates who have not yet been awarded their PhD may be appointed initially at Research Assistant Grade 6B (with progression to Grade 7 and backdated salary adjustment upon submission of the final corrected PhD thesis.
Appointment at Grade 8 is contingent on the candidate's previous experience.
For more details about the Fisher Lab, please visit: www.ucl.ac.uk/cancer/fisher-lab
This post is funded for 3 years in the first instance, with a probationary period of 9 months.
Applications should include a CV and a Cover Letter: In the Cover Letter, please provide evidence of the essential and desirable criteria in the Person Specification part of the Job Description. (By including a Cover Letter, you can leave blank the 'Why you have applied for this role' field in the application form, which is limited in the number of characters it will allow.)
About you
You will hold a PhD in Computer Science, Software Engineering, Machine Learning, Mathematics, Physics or a related quantitative discipline, with a strong track record in software development and/or research. You have extensive experience designing, building and maintaining robust, scalable software systems, and are proficient in modern software engineering practices, including version control, automated testing, documentation and CI/CD workflows.
You have experience developing and deploying AI-enabled applications, including machine learning, large language models and generative AI technologies, and are comfortable working with cloud platforms, distributed computing environments and data-intensive systems. You are an analytical problem-solver with excellent communication skills, able to explain complex technical concepts to both specialist and non-specialist audiences.
Most importantly, you thrive in collaborative, multidisciplinary environments and are motivated by the opportunity to develop trustworthy, transparent AI technologies with real-world impact. You bring a proactive approach, a commitment to technical excellence and reproducibility, and a genuine enthusiasm for working at the intersection of artificial intelligence, software engineering and cancer research.
Staff Benefits | UCL People & Culture - UCL – University College London
Customer advert reference: B02-11143
