Postdoctoral Research Assistant in Biomedical Image Analysis

University of Oxford; Oxford; On-site; GBP 30,000 - 40,000; Full time

Job summary

The University of Oxford is seeking a full-time Postdoctoral Research Assistant for a groundbreaking cross-disciplinary project focused on colorectal cancer. This role offers an opportunity to work at the intersection of cancer biology, genomics, and computational pathology, seeking a candidate with a strong foundation in relevant scientific fields.

Qualifications

• Experience in cancer research essential.
• Strong programming skills in Python required.
• Keen interest in cross-disciplinary research is essential.

Responsibilities

• Coordinate work with experts in cancer biology, genomics, and mathematical modelling.
• Join a research project on colorectal cancer using AI for image analysis.
• Contribute to understanding disrupted biological processes in cancer.

Skills

Deep Learning

Biomedical Image Analysis

Programming in Python

Education

PhD/DPhil in Mathematics, Statistics, Physics, Engineering, Data Science, or related field

Job description

Social network you want to login/join with:

Postdoctoral Research Assistant in Biomedical Image Analysis, Oxford

col-narrow-left

Client:

University of Oxford

Location:

Oxford, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Reference:

ebf031a5e2f4

Job Views:

4

Posted:

02.06.2025

Expiry Date:

17.07.2025

col-wide

Job Description:

We are seeking

a full-time Postdoctoral Research Assistant to join a cross disciplinary research project to improve our understanding of colorectal cancer. Deep learning has revolutionised image analysis and is increasingly used in cancer research to uncover morphological features linked to disease pathology and severity. Similarly, molecular profiling through ‘omics technologies has provided new insights into the disrupted biological processes underlying cancer. This project is initially funded until March 2027 and is part of a collaborative initiative supported by the Oxford Cancer Centre. The postdoctoral researcher will join the Department of Engineering Science at the Old Road Campus Research Building, with Professor Jens Rittscher as line manager. The role involves coordinating work with Simon Leedham (colorectal cancer biology), Dan Woodcock (cancer genomics), Helen Byrne (mathematical modelling), and Jens Rittscher (computational pathology and imaging AI), offering a unique opportunity to work at the intersection of these research areas. You should hold, or be close to completing, a PhD/DPhil in mathematics, statistics, physics, engineering, data science, or a related field. Experience in cancer research, deep learning and biomedical image analysis are essential. Strong programming skills in Python and a keen interest in cross-disciplinary research are also required. For more information about working at the Department, see . Only online applications received before midday on

We are seeking

a full-time Postdoctoral Research Assistant to join a cross disciplinary research project to improve our understanding of colorectal cancer. Deep learning has revolutionised image analysis and is increasingly used in cancer research to uncover morphological features linked to disease pathology and severity. Similarly, molecular profiling through ‘omics technologies has provided new insights into the disrupted biological processes underlying cancer. This project is initially funded until March 2027 and is part of a collaborative initiative supported by the Oxford Cancer Centre. The postdoctoral researcher will join the Department of Engineering Science at the Old Road Campus Research Building, with Professor Jens Rittscher as line manager. The role involves coordinating work with Simon Leedham (colorectal cancer biology), Dan Woodcock (cancer genomics), Helen Byrne (mathematical modelling), and Jens Rittscher (computational pathology and imaging AI), offering a unique opportunity to work at the intersection of these research areas. You should hold, or be close to completing, a PhD/DPhil in mathematics, statistics, physics, engineering, data science, or a related field. Experience in cancer research, deep learning and biomedical image analysis are essential. Strong programming skills in Python and a keen interest in cross-disciplinary research are also required. For more information about working at the Department, see . Only online applications received before midday on 30 June 2025 can be considered.