Imperial College London
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Research Associate in Data Science and Clinical Data Analysis for INDIGO Cancer Trial Imperial College London in United Kingdom
Degree Level
Postdoc
Field of study
Computer Science
Funding
Funded by Macmillan Cancer Care. Salary £50,733 - £59,484 per annum. Part-time, fixed-term Research Associate post.
Deadline
Oct 29, 2026
Country
United Kingdom
University
Imperial College London

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About this position
Research Associate opportunity at Imperial College London in the Department of Surgery & Cancer, working with the Computational Oncology Group on the INDIGO research trial dataset.
This post focuses on data science, clinical data analysis, statistics, and computational oncology. The successful candidate will analyse multiple cohorts from a large real-world cancer survivorship dataset, interpret and publish findings, and help develop new methods for clustering and analysing free-text data, including linked national cancer data.
The role is funded by Macmillan Cancer Care and is based at Charing Cross Campus / Charing Cross Hospital on an on-site only basis. It is a part-time, fixed-term position with salary £50,733 - £59,484 per annum.
Eligibility highlights: applicants should hold a PhD in Data Science or a related discipline, have strong experience analysing tabular clinical data, and be familiar with common statistical approaches and software packages. Strong organisation, self-motivation, and communication skills are also required. Candidates who have not yet been officially awarded their PhD may be appointed as Research Assistant.
The project aims to generate analyses that can inform simple interventions to improve the quality of life for cancer survivors at scale across the UK. Informal enquiries can be directed to Dr. Matt Williams at [email protected].
Apply online using the official application portal before 29 Oct 2026.
Funding details
Funded by Macmillan Cancer Care. Salary £50,733 - £59,484 per annum. Part-time, fixed-term Research Associate post.
What's required
PhD in Data Science or a related discipline; strong and significant experience analysing tabular clinical data; good knowledge of common statistical approaches and software packages; organised, highly self-motivated, excellent communication skills, and willingness to explore novel and developing approaches. Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant.
How to apply
Apply via the online application form using the provided Apply now link. For informal discussions, contact Dr. Matt Williams by email before applying.
More information can be found here
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