University College London 
London, United Kingdom Project Description
About us
The UCL Cancer Institute is one of the world's leading centres for cancer research, bringing together internationally recognised scientists, clinicians, and researchers to advance our understanding of cancer and improve patient outcomes. Situated in the heart of London, the Institute combines cutting-edge laboratory research with strong clinical partnerships, creating an environment where scientific discoveries can rapidly translate into real-world impact. This PhD studentship is part of the ReIMAGINE[Life] programme, a major initiative funded by Prostate Cancer UK that aims to transform prostate cancer diagnosis and risk stratification through the integration of molecular, imaging, and clinical data.
About the role
This fully funded four-year PhD studentship offers an exciting opportunity to explore how molecular characteristics present at diagnosis influence the long-term progression of prostate cancer. Working within the Treatment Resistance Team led by Professor Gerhardt Attard, you will analyse and integrate large-scale multi-omics datasets, including genomic, transcriptomic, epigenomic, and proteomic data, alongside imaging and clinical information. You will develop innovative computational approaches and predictive models to improve risk stratification, disease monitoring, and patient outcomes. The role provides extensive training in cancer genomics, machine learning, statistical analysis, and scientific programming while working in a highly collaborative multidisciplinary research environment.
How to Apply
Submit the following by 23rd November 2026- (using the apply button.)
- CV including:
- Contact details of two referees (one academic).
- A short statement explaining how your experience aligns with the project and person specification.
- Academic transcripts and certificates (PDF format). Include official English translations if applicable.
Informal enquiries about this post (including arrangements to visit UCL Cancer Institute) are welcome and may be directed by email to Prof Gert Attard (g.attard@ucl.ac.uk) and/or Dr Stefano Lise (s.lise@ucl.ac.uk)”.
About you
You are a highly motivated and academically outstanding graduate with a first-class degree (or equivalent) in bioinformatics, computational biology, computer science, mathematics, statistics, physics, engineering, or a related quantitative discipline. You have experience in Python and/or R programming and possess strong analytical and problem-solving skills. You are excited by the opportunity to apply computational methods to address important biomedical challenges and have a genuine interest in cancer genomics and translational research. You thrive both independently and as part of a multidisciplinary team, communicate effectively, and are eager to learn new computational and analytical techniques that will contribute to impactful scientific discoveries.
The job does not meet the eligibility requirements for a Skilled Worker Visa certificate of sponsorship under UK Visas and Immigration legislation. Therefore, UCL will not be able to sponsor individuals who require the right to work in the UK to carry out this role.
What we offer
This is a full time fully funded 4year PhD studentship , successful candidates will receive a non-taxable annual stipend of £23805 pa covering tuition fees at Home rate and meet UCL PhD admissions criteria.
Stipend will go up to £24,522 in year 2, £25,260 for year 3 and £26021 in year 4.
Our commitment to Equality, Diversity and Inclusion
As London’s Global University, we know diversity fosters creativity and innovation. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.
We particularly encourage applications from candidates underrepresented in UCL’s workforce, including those from Black, Asian and ethnic minority backgrounds, disabled people, and – for Grade 9 and 10 roles – women.
Read more: UCL Equality, Diversity and Inclusion.
Applicants should also familiarise themselves with UCL’s policies on: Prevention of Bullying, Harassment and Sexual Misconduct Policy and Personal Relationships Policy
