Research Associate in Image Analysis, Big Data and Epidemiology

University of Bristol; London; On-site; GBP 30,000 - 45,000; Full time

Job summary

The University of Bristol seeks a Research Associate for a Wellcome Trust-funded project focusing on osteoarthritis. Candidates should be experienced in analyzing UK Biobank imaging data and possess strong coding skills in Python, R, and Stata. This role involves extensive collaboration and independent work to deliver impactful research outcomes.

Qualifications

• Over 1 year experience analysing UK Biobank DXA imaging data.
• Proficient in statistical software (Stata, R, Python).
• Experience with large dataset curation.

Responsibilities

• Analyze dual-energy X-ray absorptiometry scans from UK Biobank.
• Conduct genome-wide association studies of osteoarthritis imaging features.
• Collaborate on complex research projects.

Skills

Data analysis

Epidemiological skills

Statistical Software

Coding (Python, R, Stata)

Research collaboration

Tools

Stata

R

Python

Job description

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Research Associate in Image Analysis, Big Data and Epidemiology, London

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Client:

University of Bristol

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

29ba9c756b58

Job Views:

7

Posted:

29.06.2025

Expiry Date:

13.08.2025

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Job Description:

The role

The University of Bristol is seeking a Research Associate to work with Dr Ben Faber on a Wellcome Trust-funded project entitled ‘Utilising large joint structural phenotypes of osteoarthritis for enhanced disease prediction and novel treatment target discovery.’ The primary aim is to leverage imaging and genetics to identify novel treatment targets for osteoarthritis. Applicants are sought who have experience with UK Biobank imaging data and epidemiological skills.

What will you be doing?

The successful candidate will work extensively with UK Biobank dual-energy X-ray absorptiometry scans in UK Biobank.

They will be expected to be adept at analysing hip and knee images to obtain accurate measures of joint shape and radiographic osteoarthritis.

They will be expected to be able to use advanced coding methods in Python, R and Stata to develop and curate a data set of over 240,000 scans across 70,000 individuals.

Epidemiological analyses will be used to identify novel relationships between structural phenotypes of osteoarthritis and clinical outcomes.

Genetic epidemiology will be used to conduct genome-wide association studies of imaging features of osteoarthritis.

You should apply if

Considerable experience (> 1 year) of analysing UK Biobank DXA imaging data

Proficient at using Statistical Software e.g. Stata, R, Python

Experienced at analysing Hospital Episode Statistic data and other forms of electronic healthcare records (e.g. OPCS3 & OPCS4)

In depth understanding of osteoarthritis and risk factors for disease

Experienced at handling and curating large datasets

Well organised and able to work to independently

Ability to identify technical problems, in collaboration with the project’s PIs, and discuss to identify solutions

Track record of collaborating across institutions to deliver complex research projects

Publications in the field

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Created on 29/06/2025 by TN United Kingdom