Research Associate/Senior Research Associate in High Content Imaging and Analysis

University of Cambridge School of Clinical Medicine

Research Associate - £32,816 - £40,322

Senior Research Associate - £41,526 - £52,559

NB: The status of Senior Research Associate is awarded on the basis of individual merit and may be awarded to the successful candidate if approved by the Faculty Board of the Cambridge School of Clinical Medicine.

The ALBORADA Drug Discovery Institute (ADDI), part of the University of Cambridge CIMR Division of Translational Medicine (, is seeking an experienced imaging expert skilled with automated fluorescent microscopy and high content imaging and analysis to join its established team. The ALBORADA DDI is part of a network of world-class Drug Discovery Institutes, funded by Alzheimer's Research UK, forming the Alzheimer's Research UK Drug Discovery Alliance. The work of the DDI at Cambridge is aimed at validating new drug targets and identifying potential new drugs for the treatment of Alzheimer's disease as well as other forms of neurodegeneration.

The successful candidate will focus on the development, optimisation, validation, execution and interpretation of complex high content, high-throughput cellular screening assays. These assays will be designed to be relevant to targeting neurodegenerative disease pathologies, mechanism of action studies and/or for profiling both novel biological and chemical entities. The position is a lab-based role responsible for developing novel and relevant assays for use by the biology team. This demands an enthusiastic and proactive mindset, along with a demonstrable ability to troubleshoot and optimise methods and an aptitude for data analysis. For more senior candidates this role will involve the line management of one or more junior team members. Less experienced applicants will be trained towards taking on such responsibility.

The successful candidate will be required to have the following skills and experience:

  • A PhD in Biology, Pharmacology or related disciplines and experience in an industrial or academic environment with a strong cell imaging component.
  • Skilled in immunofluorescence/immunocytochemistry and image acquisition.
  • Experience in staining preparation of samples in 96 and 384 well formats.
  • Experience in high content imaging.
  • Willingness to learn, implement and support imaging assays.
  • Knowledge of handling large data sets from image analysis and data analysis software (e.g. CellProfiler).
  • An ability to provide scientific leadership and supervise junior staff.
  • Willingness to be intellectually involved in a range of drug discovery and target validation projects.

Additional desirable attributes would be:

  • Experience in neurodegenerative disease or the cerebral vascular system.
  • An understanding of machine learning.
  • Knowledge in bioinformatics.
  • Experience in one or more programming or scripting languages (Python, R)
  • Knowledge of automation platforms.
  • Experience in the manipulation and analysis of gene/protein function in mammalian cells.

Working with chemists and other biologists in a stimulating and collaborative environment with opportunities for training and development, the successful candidate will also be encouraged to contribute to implementing new technologies and processes.

Specific enquiries about the post may be addressed to Dr. James Duce (

Fixed-term: The funds for this post are available until 31 October 2022 in the first instance.

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

Closing Date: 16 May 2021

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 quote reference SA26315 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.

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