Post Doctoral Research Associate in Computational Oncology
Analyze large-scale clinical cancer data to improve survivorship and patient interventions at Imperial College London.
Best for:Best for data scientists with experience in clinical data analysis and a strong publication background in computational health.
Overview
Imperial College London is seeking a skilled Research Associate to join the Computational Oncology Group within the Faculty of Medicine's Department of Surgery & Cancer. Funded by Macmillan Cancer Care, the successful candidate will analyze extensive real-world clinical datasets from the INDIGO research trial to evaluate cancer survivor outcomes. The role involves applying advanced computational tools, developing novel clustering methods for free-text and national linked data, and informing future clinical interventions. The appointment offers a collaborative, dynamic environment based at Charing Cross Hospital.
What you'll do
- Analyze, interpret, and publish findings from multiple cohorts within the INDIGO clinical dataset.
- Develop innovative computational methods for clustering and analyzing free-text data and linked national cancer registries.
- Translate data analyses into actionable insights to plan subsequent phases of clinical trials.
- Collaborate closely with multidisciplinary teams including clinicians, commercial partners, and other academic staff.
- Explore novel statistical and computational approaches to extract refined insights from complex health data.
Requirements
Degree required: PhD in Data Science or a related discipline (candidates near completion may be appointed as Research Assistants)
Language: English; professional working proficiency
Instruction: English
Publications: Track record of publication appropriate to career stage
- Demonstrated experience analyzing large tabular clinical datasets
- Proficiency with common statistical software packages and programming approaches
- Strong background in applying computational tools to real-world health or scientific problems
- Excellent organizational skills and ability to meet strict research milestones
- Strong written and verbal communication skills for publishing and collaborative work
Funding & terms
How to apply
Deadline: 2026-10-29
Candidates must submit their application through the official Imperial College London recruitment portal using the provided external link. For informal inquiries regarding the position, applicants are encouraged to contact Dr. Matt Williams directly via email.
- CV
- Cover letter
Contact
Matt Williams
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