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Senior Scientist in Automation (10326)

Job details
Posting date: 26 April 2024
Salary: £42,500 to £52,500 per year
Hours: Full time
Closing date: 26 May 2024
Location: Harwell, Didcot
Remote working: On-site only
Company: Rosalind Franklin Institute
Job type: Contract
Job reference: 10326

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Summary

The Rosalind Franklin Institute is a national research centre, funded by the UK government through UK Research and Innovation, dedicated to bringing about transformative changes in life science through interdisciplinary research and technology.

We are currently seeking a highly motivated senior scientist to join our Structural Biology theme at the Rosalind Franklin Institute. Building on recent work demonstrating the use of focused ion beams (FIB) and scanning electron microscopes (SEM) to image cells and tissues (DOIs: 10.1038/s41467-023-36372-9; 10.1101/2022.09.21.508877), we are looking to recruit a computational expert to develop and apply AI and automation of cryogenic FIB/SEM and lift-out of biological specimens for structural biology. This will enable imaging high volumes of lamella of multicellular specimens, implemented alongside efforts to streamline high-precision targeting in 3D and structure determination and facilitate attempts to make the technique more widely applicable.

This post builds on recent success in obtaining funding for imaging tissues across scale and would be closely tied to projects between structural biology and artificial intelligence themes. The post is aimed at individuals keen to bring a combination of computer science, mathematics, and material science to address questions that bridge molecular-scale imaging with high throughput and on a grand scale. The ideal candidate would have a firm grasp on developing algorithms in python, C++ or other coding languages, and would be able to apply this to routines on advanced electron microscopes at the Franklin.

Role overview
Current in-situ structural biology workflows for cryoET in tissue are laborious, requiring individuals to remain at the side of the microscope. This is due to these capabilities being in their infancy, with critical parameters being established and targeting in bulk materials requiring methods able to recognise and identify regions of interest. At the Franklin, we are establishing workflows capable of investigating multiple tissue samples per day and generating sections able to be thinned to electron transparency. You will develop this working closely with researchers at the Franklin enabling the examination of disease-relevant observations in-situ using multi-modal imaging to streamline the targeting of specific regions of interest, and optimising protocols for ion beam milling.

Before submitting your application, please ensure you read the Job Information Pack for full details of this role on our website.

About us: The Rosalind Franklin Institute is a new national Research Centre, funded by the UK government through UK Research and Innovation, dedicated to bringing about transformative changes in life science through interdisciplinary research and technology.

Location: The Franklin is based in Harwell Campus, UK’s innovation hub and well-established as one of the leading science and innovation campuses in Europe.

The Franklin’s underlying aim is to produce the best science for research today, and this means resolutely embracing a diverse team, who have a wide range of experiences, skills and knowledge to push forward on the innovative work our institution delivers. Both our work and our institution are better for it. For further information, view our Equality, Diversity and Inclusion Policy.

At the Rosalind Franklin Institute we welcome applications from all around the world!

To be considered for this role, please send a CV and cover letter through explaining why you think you are the right person for this job. Please including information about your education and work experience.

Closing date: Please be aware that applications are accepted on an ongoing basis until the position is filled; therefore, we reserve the right to close this vacancy earlier if required.

Applicants should refer to our Candidate Privacy Policy

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