Diamond Light Source is one of the world’s most advanced scientific facilities. We’re home to the UK’s synchrotron light source – a giant microscope producing beams of light 10 billion times brighter than the sun. Probing the structure and composition of matter, our work drives innovation in everything from vaccines to nanotech.
About the Role
We now have a PDRA position available within Diamond’s Electron Bio-Imaging Centre (eBIC) on a 3 year fixed term contract. The post is dedicated to the development of new, rapid algorithms for analysis of cryo-Electron microscopy (cryoEM) data and would provide for significant scientific independence within the scope of the project.
eBIC is the UK national centre for cryoEM data acquisition, providing free of charge access to the-state-of-the-art instruments for the UK and international academic users. In collaboration with other scientists, we strive to develop efficient on-the-fly data processing pipelines for user benefit (https://www.diamond.ac.uk/Instruments/Biological-Cryo-Imaging/eBIC.html ). eBIC is part of Diamond Light Source Ltd (Diamond)– the UK national synchrotron radiation source (https://www.diamond.ac.uk/Home.html ), located in collaboration stimulating scientific environment of Harwell Science and Innovation Campus in Oxfordshire, UK (https://www.harwellcampus.com ).
Recent revolutionary technological advances put cryoEM on the frontier of science development. Modern single particle cryoEM and cryo Electron Tomography (cryoET) open new avenues for study of biological molecules and cells, including development of new “break-through” medical treatments and therapeutics. However, increasing amount of data from often heterogeneous samples pose new challenges for data processing and interpretation, which we would like to address by developing new algorithms for rapid and automated data analysis. The scope of the project is to provide scientists with a staged response about a specimen characteristics and quality, which would be useful for optimisation of ongoing experimental setup and further data analysis.
The work on this project will be carried out in close collaboration with Diamond data analysis group, STFC Scientific Machine learning, and CCPEM groups. It will complement and enhance the work undertaken as part of the recently awarded pan-European INFRAtech fragment screening and automation grant aimed at super-charging structure led drug discovery.
You should have a PhD degree or equivalent and have experience in algorithm design and programming for scientific data analysis.
You will need to demonstrate a track record of accomplishment in conducting high quality original research. Knowledge and research experience in using statistical methods and machine learning for data analysis are essential. Experience with image processing and cryoEM/ET data analysis is desirable.
For further information about this role please click apply.
Diamond offers an exceptional benefits package to support staff in achieving a positive work/life balance. This includes 25 days annual leave plus 13 days of statutory and company holidays and 2 annual volunteering days, along with flexible working hours and an excellent pension scheme. Staff also have access to a range of amenities on site including a nursery, cafes, a restaurant and sports and leisure facilities. A relocation allowance may also be available where applicable.
Please use the online application process to apply and tell us why you believe you are suitable for this role, and should include a CV, summary of your accomplishment and research interests, and publication list
The initial closing date for applications is 9th July 2023, however applications will be reviewed and interviewed on an ongoing basis until this vacancy is filled.
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