Postdoctoral Research Associate in next gen multimodal bioimaging file formats

About the role

The postholder will work as part of a broader international team - including Dundee, EMBL-EBI and German Bioimaging - to develop next gen file format strategies and data management for existing large complex multimodal human tissue bioimaging datasets at KCL.

The broader goal of the overall programme, funded through the Wellcome Trust bioimaging technology development initiative, is to deliver multimodal datasets in an interoperable manner through open access repositories for onward ML/AI applications and hence drive future biological insight. The work will be primarily undertaken at King’s College London within the Randall Centre, a world-renowned hub for biophysics and bioimaging excellence, with additional opportunities to work closely with our partners. World-class facilities and training are provided, within a dynamic, vibrant and inclusive research environment, with opportunities to engage with broader collaborators and drive forward pioneering solutions to understand complex multimodal spatial data.

This is a full-time post, 35 hours per week, and you will be offered a fixed term contract to 30th April 2029, starting no earlier than 1st May 2026.

This role is a hybrid role which is 50% onsite and 50% working remotely.

Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the  Concordat to Support the Career Development of Researchers, applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the  Centre for Research Staff Development for more information.

About You

To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria

• PhD in relevant subject area* 
• Experience in working with bioimaging and other spatial data, including managing and converting between file formats  
• Experience with spatial data analysis tools/platforms (e.g.: napari) 
• Programming skills working with image data in Python  
• Experience with metadata, data integration and standards for bioimaging data  
• Experience working in multidisciplinary teams and at the interface between biological data, biologists and data scientists/software engineers  
• Strong communication and presentation skills  
• Ability to write scientific documents and papers

* Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6. 

Desirable criteria

• Prior experience working with human tissue and clinical data 
• Experience of working with bioimaging data sharing repositories  
• Specific experience working with OME-Zarr and/or OME-TIFF  
• Experience building computational tools for data management and/or analysis  

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