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Post-doctoral Researcher in Healthcare Data Analytics and Machine Learning

University of Oxford

Oxford

On-site

GBP 35,000 - 50,000

Full time

2 days ago
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Job summary

A prestigious educational institution is seeking a full-time Post-doctoral Researcher in Healthcare Data Analytics and Machine Learning in Oxford. Candidates must have a PhD or be near completion in a relevant field, with demonstrated expertise in healthcare data analysis, machine learning, and strong programming skills in Python. The role is fixed-term for 18 months with the potential for extension.

Qualifications

  • PhD degree (or near completion) in healthcare data science, medical informatics, or clinical machine learning.
  • Demonstrated expertise in healthcare data analysis and machine learning.
  • Strong programming skills in Python.

Skills

Healthcare data analysis
Machine learning
Programming in Python
Deep learning
Interpersonal skills

Education

PhD in a relevant scientific discipline

Job description

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Post-doctoral Researcher in Healthcare Data Analytics and Machine Learning, Oxford

Client: University of Oxford

Location: Oxford, United Kingdom

Job Category: Other

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EU work permit required: Yes

Job Reference: d8a45189d87d

Job Views: 3

Posted: 12.08.2025

Expiry Date: 26.09.2025

Job Description:

Peter Medawar Building, Oxford; Big Data Institute, Old Road Campus, Oxford

About the Role

This post is fixed term for 18 months but may be extended. It is full time, but part-time working would be considered (minimum of 4 days, 30 hours per week, 0.8 FTE).

About You

To be considered for this position, you should have a PhD degree (or be near completion) in a relevant scientific discipline—particularly in healthcare data science, medical informatics, or clinical machine learning—as well as demonstrated expertise in healthcare data analysis, machine and deep learning, and strong programming skills, particularly in Python. Good interpersonal skills and the ability to work as part of a team are essential to contribute effectively to the project.

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