Part time computer science students Work, Jobs in London (with Salaries)

Research Associate in Translational Neuroimaging
Imperial College London —White City
- £49,017 - £50,893 a year
- Full-time
- Doctoral degree
- Research
- University
13d
Research Associate in Computational Biomolecular Physics
Imperial College London —South Kensington
- Full-time
- Doctoral degree
- Research
- Analysis skills
Oracle Cloud Trainer
Ekascloud —London
- £70,000 - £100,000 a month
- Part-time
- Remote
- Computer Science
- DevOps
- Bachelor's degree
Senior Research Software Engineer (ATLAS)
University College London —London
- £54,931 - £64,644 a year
- Part-time
- Software troubleshooting
- University
- No degree
- Relocation assistance
- Annual leave
Workday Integrations Specialist
S&P Global —London
- Bachelor's degree
- Agile
- Communication skills
- Annual leave
- Employee discount
Research Associate in Quantum Computation
Imperial College London —South Kensington
- £45,399 - £59,484 a year
- Full-time
- Doctoral degree
- Computer Science
- Research
3d
Research Associate in Osteoarthritis Biostatistics
Imperial College London —Hammersmith
- £50,733 - £59,484 a year
- Full-time
- Hybrid work
- Doctoral degree
- Research
- Communication skills
Language Assistant (Spanish)
Hampton School —Hampton
- Spanish
- Organisational skills
- Communication skills
Quick apply
Research Associate in Orthopaedic Surgical Robotics
Imperial College London —South Kensington
- £50,733 - £59,484 a year
- Full-time
- Hybrid work
- Doctoral degree
- Engineering
- Research
18h
Research Associate in Machine Learning for Protein Design
Imperial College London —South Kensington
- £50,733 - £59,484 a year
- Full-time
- Doctoral degree
- Research
- University
5d
Deployment Engineer, Bueno (Copeland brand)
Copeland —London
- Full-time
- Engineering
- HVAC
Research Fellow in Thermal Nanophotonics and Metasurfaces (ERC Advanced Grant)
University College London —London
- £43,981 - £52,586 a year
- Full-time
- Doctoral degree
- Research
- Machine learning
- Annual leave
- Employee assistance programme
Research Fellow in Brain Vascular Biology and Brain Cancer Biology
University College London —London
- £43,374 - £51,860 a year
- Full-time
- Doctoral degree
- English
- Research
- Annual leave
- Employee assistance programme
Lecturer/Associate Professor in Artificial Intelligence and Computational Biosciences
University College London —London
- £54,931 - £76,244 a year
- Full-time
- Doctoral degree
- Research
- Machine learning
- Annual leave
- Employee assistance programme
Industry Partner and Academic Ops Specialist
Study Abroad —London
- £32,000 - £35,000 a year
- Full-time
- Microsoft Powerpoint
- Microsoft Outlook
- Salesforce
Quick apply
Community Manager
Substrate Bio —London
- Full-time
- Hybrid work
- Bachelor's degree
- Communication skills
- Annual leave
Quick apply
Senior Chief Platform Architect - 801
Quantinuum —London
- £240,000 - £300,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Engineering
- Annual leave
- Employee discount
Language Assistant (German)
Hampton School —Hampton
- Organisational skills
- Communication skills
- School
Quick apply

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Research Associate in Translational Neuroimaging

Imperial College London -
White City

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Job details

Full-time
£49,017 - £50,893 a year
13 days ago

Qualifications

Operating systems
Doctoral degree
Research
Multidisciplinary collaboration
Medical imaging

Full job description

Job number

MED05878

Faculties

Faculty of Medicine

Departments

Department of Brain Sciences

Salary or Salary range

£49,017 - £50,893 per annum

Location/campus

White City Campus - Hybrid

Contract type work pattern

Full time - Fixed term

Posting End Date

25 Aug 2026

About the role

Imperial College London is seeking a highly motivated Postdoctoral Research Associate (PDRA) in Translational Neuroimaging to work on the Imperial Neurosciences Quantitative Imaging Platform (INQIP) – an ambitious research initiative that aims to revolutionise the diagnosis of dementia and other neurological conditions through translation of quantitative neuroimaging and machine learning methods applied to clinical data.

This post is funded by the Imperial Health Charity and involves working closely with staff and systems at Imperial College Healthcare NHS Trust.

This is an exciting opportunity to apply computational methods to real-world clinical imaging and patient data, helping bridge the gap between state-of-the-art research and clinical practice.

You will be central to the development of automated pipelines and tools for the pseudonymisation and quantitative analysis (including machine learning) of clinical brain scans and linked patient information. A major focus will be on clinical translation, developing and evaluating clinically relevant tools. This post offers an outstanding opportunity to join a multi-disciplinary team across Imperial College London and Imperial College Healthcare NHS Trust, and the successful candidate will benefit from close collaboration with researchers and clinicians.

This is a unique opportunity to contribute to research that directly impacts patient care and to shape the next generation of neuroimaging tools in the NHS.

What you would be doing

You will design, develop, deploy, and evaluate automated pipelines for the pseudonymisation and quantitative analysis of clinical brain scans (MRI, CT, PET) from Imperial College Healthcare NHS Trust. You will develop automated workflows to analyse individual scans, generate reports, integrate outputs with research PACS, and make them accessible and understandable to clinical teams. You will be expected to collaborate closely with researchers and clinicians across Imperial College London and Imperial College Healthcare NHS Trust. You will also actively participate more broadly in the research programme of the group.

What we are looking for

A PhD (or equivalent) in a relevant discipline such as neuroscience, biomedical engineering, medical physics, computer science, statistics, or a closely related field
Strong experience in clinical neuroimaging analysis, quantitative image processing, or medical image computing
Strong experience in relevant programming languages (e.g., Python, R, MATLAB), software (e.g., FSL), and operating systems (e.g. Linux)
Experience with the XNAT platform
A strong publication record in reputable, international, peer-reviewed journals
Willingness to work as part of a team, to be open-minded and cooperative
Ability to organise your own work with minimal supervision
A creative approach to problem-solving; a “doer”

What we can offer you

An exciting opportunity to contribute to research with real-world clinical impact
Opportunities for close collaboration with leading clinicians and researchers in neuroscience, neuroimaging, and AI
Join a highly multi-disciplinary lab and a world-leading institution
Be part of the Care Research & Technology Centre, part of the UK Dementia Research Institute
Progress your clinical academic career with support from academic neurologist Dr Scott, in a department with an excellent track record of supporting clinical academics, in an institution with dedicated support for clinical fellows.

Further information

This is a full-time post based at our White City Campus. You will be expected to travel to Imperial College Healthcare NHS Trust sites, particularly Charing Cross Hospital, and also potentially to collaborating research sites.

Should you require any further details on the role please contact: Dr Gregory Scott ([email protected])

Available documents

Attached documents are available under links. Clicking a document link will initialize its download.

Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.

We reserve the right to close the advert before the stated closing date, should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.

If you encounter any technical issues while applying online, please don't hesitate to email us at [email protected]. We're here to help.

About Imperial

Welcome to Imperial, a global top-ten university where scientific imagination leads to world-changing impact.

Join us and be part of something bigger. From global health to climate change, AI to business leadership, here at Imperial we navigate some of the world’s toughest challenges. Whatever your role, your contribution will have a lasting impact.

As a member of our vibrant community of 22,000 students and 8,000 staff, you’ll collaborate with passionate minds across nine London campuses and a global network.

This is your chance to help shape the future. We hope you’ll join us at Imperial College London.

Our Culture

We work towards equality of opportunity, to eliminating discrimination, and to creating an inclusive working environment for all. We encourage applications from all backgrounds, communities and industries, and are committed to employing a team that has diverse skills, experiences and abilities. You can read more about our commitment on our web pages.

Proud signatory of the Armed Forces Covenant. We welcome applications from the Armed Forces community.

Our values are at the root of everything we do, and everyone in our community is expected to demonstrate respect, collaboration, excellence, integrity, and innovation.

Apply Now

Refine Your Search

part time computer science students jobs in london

Research Associate in Translational Neuroimaging

Research Associate in Computational Biomolecular Physics

Oracle Cloud Trainer

Senior Research Software Engineer (ATLAS)

Workday Integrations Specialist

Research Associate in Quantum Computation

Research Associate in Osteoarthritis Biostatistics

Language Assistant (Spanish)

Research Associate in Orthopaedic Surgical Robotics

Research Associate in Machine Learning for Protein Design

Deployment Engineer, Bueno (Copeland brand)

Research Fellow in Thermal Nanophotonics and Metasurfaces (ERC Advanced Grant)

Research Fellow in Brain Vascular Biology and Brain Cancer Biology

Lecturer/Associate Professor in Artificial Intelligence and Computational Biosciences

Industry Partner and Academic Ops Specialist

Community Manager

Senior Chief Platform Architect - 801

Language Assistant (German)

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