AI-Driven Cancer Imaging Research Fellow

RFCSR; Manchester; On-site; GBP 36,000 - 56,000; Full time

Job summary

The University of Manchester is seeking a Research Associate or Research Fellow to contribute to an ambitious cancer sciences programme, focusing on digital pathology, AI, and data-driven discovery. You will develop computational methods to analyze large-scale imaging and clinical data, working with clinicians and researchers in a collaborative setting.

Responsibilities include designing analytical pipelines, integrating datasets, and interpreting results to improve cancer diagnosis, prognosis,

Qualifications

• PhD (or near completion) in computational biology, bioinformatics, data science, computer science, or a closely related discipline.
• For Research Fellow level: significant postdoctoral research experience and a strong publication record.

Responsibilities

• Design and implement analytical pipelines for cancer imaging and omics datasets.
• Integrate diverse datasets and contribute to study design.
• Interpret results in a clinically meaningful context and disseminate findings through publications and presentations.

Skills

Machine learning

Python

R

Data analysis

Statistical modelling

Education

PhD or near completion

Tools

Python

Job description

The University of Manchester is seeking a Research Associate or Research Fellow to contribute to an ambitious cancer sciences programme, focusing on digital pathology, AI, and data-driven discovery. You will develop computational methods to analyze large-scale imaging and clinical data, working with clinicians and researchers in a collaborative setting.

Responsibilities include designing analytical pipelines, integrating datasets, and interpreting results to improve cancer diagnosis, prognosis,