Back to search results

Research Associate (High Content Imaging and Analysis) (Fixed Term)

University of Cambridge - C.I.M.R. Division of Translational Medicine

Location: Cambridge
Salary: £33,309 to £40,927
Hours: Full Time, Part Time
Contract Type: Fixed-Term/Contract
Placed On: 12th October 2021
Closes: 14th November 2021
Job Ref: SA28449

The ALBORADA Drug Discovery Institute (ADDI), part of the University of Cambridge CIMR Division of Translational Medicine (http://cambridge-ddi.alzheimersresearchuk.org/), is seeking an imaging biologist with experience of automated fluorescent microscopy / high content imaging and large data set 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.

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

  • A PhD in Biology, Pharmacology or related disciplines 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 of high content imaging.
  • Willingness to develop skills in automated image analysis
  • Knowledge of handling large data sets from image analysis and data analysis software (e.g. CellProfiler).
  • A willingness 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 of 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.

The role is full time, however we would consider applicants who wish to work flexibly or for a minimum of 0.6 FTE.

Specific enquiries about the post may be addressed to Dr. John Skidmore (js930@cam.ac.uk).

Fixed-term: The funds for this post are available until 31 July 2025 in the first instance.

To apply online for this vacancy and to view further information about the role, please visit :

http://www.jobs.cam.ac.uk/job/31734.

Closing Date: 14 November 2021

Please quote reference SA28449 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.

We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:

Subject Area(s):

Location(s):

Job tools
 
 
 
More jobs from University of Cambridge

Show all jobs for this employer …

More jobs like this
Join in and follow us

Browser Upgrade Recommended

jobs.ac.uk has been optimised for the latest browsers.

For the best user experience, we recommend viewing jobs.ac.uk on one of the following:

Google Chrome Firefox Microsoft Edge