Python Work, Jobs in Hempstead, Ess (with Salaries)

Research Assistant in AI for Medical Imaging (Fixed Term)
University of Cambridge —Cambridge
- £33,002 - £35,608 a year
- Computer Science
- Engineering
- University
2h
Research Assistant (Fixed Term)
University of Cambridge —Cambridge
- £33,002 - £35,608 a year
- English
- Research
- University
2h
Python Developer
Thermoteknix Systems Limited —Waterbeach
- Full-time
- Software development
- Linux
- Python
2d
Junior Software Engineer - AUM
Ipsos —Cambridge
- C++
- Python
- Annual leave
Data Scientist
Amgen —Cambridge
- Remote
- Master's degree
- Machine learning
- AI
2d
Research Assistant/Associate (Fixed Term)
University of Cambridge —Cambridge
- £33,002 - £46,049 a year
- Doctoral degree
- Research
- University
2h
Research Associate (Fixed Term)
University of Cambridge —Cambridge
- £37,694 - £46,049 a year
- Doctoral degree
- Research
- University
2h
Research Assistant (Part Time, Fixed Term)
University of Cambridge —Cambridge
- £33,002 - £35,608 a year
- Part-time
- Laboratory experience
- English
- Research
2h
Data Scientist
Qureight Ltd —Cambridge
- Full-time
- Hybrid work
- Machine learning
- Communication skills
- Annual leave
- Life insurance
Quick apply
8d
Research Assistant/Associate in Trustworthy Generative AI for Computational Science (Fixed Term)
University of Cambridge —Cambridge
- £34,610 - £46,049 a year
- Call to connect
- Doctoral degree
- Computer Science
- Research
2h
Junior Electronics Engineer
Thermoteknix Systems Limited —Waterbeach
- Full-time
- Schematics
- Engineering
- Assembly
PhD Studentship: Developing Fair and Robust Cancer Risk Prediction Models Using Health Data
University of Cambridge —Cambridge
- £20,780 a year
- English
- Research
- Analysis skills
2h
Research Associate
Abselion —Cambridge
- £35,000 - £39,000 a year
- Laboratory experience
- Microsoft Office
- Master's degree
Graphics Instrumentation Engineer
Arm —Cambridge
- £55,300 - £74,800 a year
- Hybrid work
- Team management
- Leadership
7d
Android Developer
Thermoteknix Systems Limited —Waterbeach
- Full-time
- System design
8d
DevOps Engineer
Crossfield Technology solutions —Chelmsford
- £75,000 - £88,000 a year
- Full-time
- Azure
- Computer Science
- DevOps
- Free parking
- Bereavement leave
Quick apply
Research Assistant in Advanced Manufacturing and Materials Grade
University of Cambridge —Cambridge
- £33,002 - £35,608 a year
- Engineering
- Maintenance
- Research
2h
Software Engineer - Robot Software
CMR Surgical —Cambridge
- IT
- Linux
- Python
Full Stack Developer – CT Office Incubation Team
Aveva —Cambridge
- Full-time
- Hybrid work
- Master's degree
- Bachelor's degree
- Travel
- Annual leave
1d
Computational Scientist (AI & Biology)
Ensocell —Cambridge
- Full-time
- Doctoral degree
- Machine learning
- AI
- Annual leave
- Employee assistance programme
Quick apply
2d

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Research Assistant in AI for Medical Imaging (Fixed Term)

University of Cambridge -
Cambridge

Apply Now

Job details

Fixed term contract
£33,002 - £35,608 a year
2 hours ago

Qualifications

Biology
Data integration
Computer Science
Computer vision
Engineering
Machine learning modelling
Deep learning
Multidisciplinary collaboration
Medical imaging
AI
Communication skills
Analytics

Full job description

Applications are invited for a Research Assistant to join a highly successful multidisciplinary collaboration between the groups of Dr Mireia Crispin and Dr Matt Hoare at the Early Cancer Institute, located on the Cambridge Biomedical Campus. Working at the interface of artificial intelligence, data science and cancer research, this work will develop next-generation computational methods to improve early liver cancer detection and accurately predict malignancy risk.

We wish to recruit a motivated individual to participate in a portfolio of data-driven projects aimed at modelling the radiological appearance of liver cancer for AI-based liver lesion detection and classification. In this role, you will be responsible for developing AI approaches to analyse liver imaging data from a large and unique in-house dataset of CT and MRI scans.

This 2-year position will expose you to cutting-edge AI methodologies, world-class clinical datasets, and a highly translational research environment that bridges the gap between computer science, radiology, and hepatology. You will develop robust and reproducible analytical pipelines and explore state-of-the-art approaches including deep learning, computer vision, foundation models, multimodal data integration, generative modelling and interpretable machine learning. Depending on your experience and project requirements, your work may include image registration, segmentation and object detection; longitudinal disease modelling; quantitative feature extraction; classification and risk prediction; and evaluation of models using clinically meaningful outcomes. You will work closely with researchers in artificial intelligence, cancer biology, radiology and clinical medicine. The role offers access to distinctive clinical datasets, specialist scientific and clinical expertise, and substantial GPU and high-performance computing resources. You will be encouraged to contribute ideas, shape new analytical directions and participate in publications, conference presentations and collaborative funding applications.

Applicants must have a degree in computer science, engineering, biology, physics, or a closely related field. The ideal candidate will have programming experience in Python and bash, alongside expertise in the analysis of large datasets and the development of machine learning models. The role holder must also have excellent written and verbal communication skills, evidence of effective collaboration, and the ability to independently solve problems, troubleshoot, and navigate relevant literature.

Prospective candidates are encouraged to contact Matt Hoare ([email protected]) or Mireia Crispin ([email protected]) directly when considering an application to discuss the project in greater detail.

Fixed-term: This Evelyn Trust funded position is available for 24 months in the first instance.

Once an offer of employment has been accepted, the successful candidate will be required to undergo a standard Disclosure and Barring Service check. This appointment also requires a Research Passport application.

We welcome applications from individuals who wish to be considered for part-time working or other flexible working arrangements.

Please ensure that you upload a covering letter and CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.

Closing Date: 24th August 2026

Interview Date: Week commencing 7th September 2026

Please quote reference RD50503 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Apply online

Apply Now

Refine Your Search

python jobs in hempstead, ess

Research Assistant in AI for Medical Imaging (Fixed Term)

Research Assistant (Fixed Term)

Python Developer

Junior Software Engineer - AUM

Data Scientist

Research Assistant/Associate (Fixed Term)

Research Associate (Fixed Term)

Research Assistant (Part Time, Fixed Term)

Data Scientist

Research Assistant/Associate in Trustworthy Generative AI for Computational Science (Fixed Term)

Junior Electronics Engineer

PhD Studentship: Developing Fair and Robust Cancer Risk Prediction Models Using Health Data

Research Associate

Graphics Instrumentation Engineer

Android Developer

DevOps Engineer

Research Assistant in Advanced Manufacturing and Materials Grade

Software Engineer - Robot Software

Full Stack Developer – CT Office Incubation Team

Computational Scientist (AI & Biology)

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