Data Analyst Scientist

1 month ago

Didcot, United Kingdom Diamond Light Source Full time

Data Analyst Scientist - Diamond Light Source and Fragment-Screen

Business Area Software Full Time Salary Please see advert Post Type Full time / Permanent Closing Date 01/09/ Ref No

For more details and to apply please see :

Instruct-ERIC

Instruct-ERIC is a pan-European distributed research infrastructure making high-end technologies and methods in structural biology available to users.

Our aim is to promote innovation in integrated structural biology and Instruct-ERIC operates on a non-economic basis from its UK base.

Instruct-ERIC comprises 17 Member Countries and International Organisations: Belgium, Czech Republic, EMBL, Finland, France, Germany, Greece, Israel, Italy, Latvia, Lithuania, Netherlands, Portugal, Slovakia, Slovenia, Spain, and the United Kingdom.

Instruct-ERIC provides open access to cutting edge structural biology, specifically supporting research that uses integrated approaches and technologies. It operates with the following principles: a) scientific excellence is our priority in the services we provide and the research we support; b) transparency, equality and legality is the cornerstone of our operational model.

Science is undergoing an information revolution, where the sharing of research data for use and reuse is enabling new breakthroughs. An example from structural biology is the recent step change in our ability to predict protein structures from sequence alone by use of artificial intelligence trained on large amounts of experimentally derived structural models. Instruct-ERIC generates large quantities of well-curated experimental data for and on behalf of its user base. Our new strategy is to make more of these data sets available to the broader community to leverage this valuable information source and increase the impact of Instruct as a whole.

Overview of the Role

As part of the EU funded Fragment Screen project coordinated by Instruct-ERIC, developments related to the automation of cryoEM imaging for protein structure determination are underway in a collaboration between Diamond Light Source and the STFC scientific machine learning group.

We now have an opportunity for a software scientist to join this effort and work closely with scientists at eBIC to develop, test and deploy automated acquisition workflows. The successful candidate will work closely with the Data Analysis Group at Diamond. The Data Analysis Group is responsible for providing research software to analyse data generated from our diverse range of scientific facilities that exploit the synchrotron light from Diamond as well as data acquired from eBIC.

The software that you write will routinely integrate open-source software solutions and interface with other critical software infrastructure across Diamond. In this project there will be an emphasis on integrating tools for automated target identification into the acquisition workflow of single particle cryoEM experiments. This will involve developing a programmatic interface between these tools and the highly sophisticated electron microscopes at the world-class eBIC facility.

The role will focus on development of automated acquisition workflows for single particle cryoEM. You will work with a small team of developers and work closely and collaborate with scientists at eBIC.


You will work with a diverse group of people and you will have regular personal contact with the:
- Instruct Director
- Instruct Hub Coordinator
- Senior Programme and Project Managers
- Technical and financial staff

You will also have broad contact with third parties across Europe and internationally through email, telephone and tele/videoconference.

Responsibilities/duties

You will be:
• Developing, testing, maintaining, and supporting software solutions for automated data analysis at eBIC.
• Implementing industry standard software engineering practices to ensure sustainability of software solutions.
• Practising and sharing modern software engineering approaches and participating in code reviews.
• Liaising with members of the Scientific Computing group, in particular cluster admins and cloud team, to ensure smooth operation and deployment of software products.


Our existing software solutions are largely implemented in Python so experience with Python is particularly desirable.

About You


You will be qualified to degree level with experience in scientific software development, using a modern high-level language, and with an understanding of good software design principles and design for usability.


You will demonstrate experience from some (but not all) of the following areas:


• Object-oriented programming using a higher-level programming language.
• Working with large and complex code bases
• Python 3, C/C++ and EM image formats.
• Structural biology or a related area and development of scientific software.
• Image processing algorithms and techniques, particularly in the context of cryoEM.
• APIs, RESTful services.
• Developing software solutions that are robust and performant.
• Handling and analysing large volumes of scientific data sets using parallel computing.

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