The VISIONLAB, led by Dr Sarah Bohndiek, uses next-generation imaging sciences to advance our understanding of tumour evolution. We apply the latest spectral imaging hardware, together with biophysical models and machine learning methods, to studies of cancer in both mouse models and patients.

Applications are invited for a Senior Scientific Associate to join the VISIONLab, which is co-located in the Department of Physics and the Cancer Research UK Cambridge Institute at the University of Cambridge. We are looking for a highly motivated, creative and self-driven scientist who is an expert in advanced optical image data analytics to accelerate the research of our laboratory, ideally someone passionate about supporting open-source software.

The successful applicant will have excellent data science knowledge, including open source and commercial image data analysis tools and should have experience in creating their own toolboxes. The post holder will primarily provide support for creating and streamlining analysis pipelines for a range of multispectral imaging data sets acquired by the laboratory, including data generated from hyperspectral reflectance imaging, Raman spectroscopy and photoacoustic imaging. The post holder will also be expected to curate previously acquired data sets in support of the open-science mindset of the VISIONLab. They will also have the opportunity to lead on their own image analysis focused research project.

The successful applicant will be enthusiastic about innovative optical imaging. Holding a degree in mathematics, computer science, engineering or related discipline, they should ideally have experience with, and strong proficiency in, programming with Python, MATLAB, and Java. Experience in statistical analysis or machine learning for hyperspectral data analysis is essential. Experience in programming hardware control interfaces and data visualisation would also be advantageous. A PhD is desirable, but candidates with similar qualifications or experience will be considered.

For more information on the research of the laboratory, please see

Email with informal enquiries or specific questions about the role.

Applications will be reviewed shortly after the closing date. The successful candidate would ideally start before August 2022.

Fixed-term: The funds for this post are available for 2 years in the first instance.

Once an offer of employment has been accepted, the successful candidate will be required to undergo a security check.

Click the ‘Apply’ button below to register an account with our recruitment system (if you have not already) and apply online.

The closing date for all applications is Thursday 26th May 2022 with interviews to be confirmed at a later date.

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 e-mail address and phone number, one of which must be your most recent line manager.

Please ensure that you outline how you match the criteria for the post and why you are applying for this role on the online application form.

Please quote reference SW31096 on your application and in any correspondence about this vacancy.

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