Job description

LSE is committed to building a diverse, equitable and truly inclusive university

Data and Technology Services

Research Environment Specialist

Salary from £42,679 to £51,000 pa inclusive with potential to progress to £54,730 pa inclusive of London allowance

This is an exciting opportunity to join London School of Economics and Political Science (LSE) as we establish cutting-edge central Research Computing capabilities to support world-leading research. As a globally renowned university specialising in social sciences, LSE is committed to delivering impactful research that addresses global challenges. Located in the vibrant heart of London, we offer an inclusive and dynamic environment where innovation and collaboration thrive.

The Research Environment Specialist will join the Data and Technology Services Division (DTS), and will play a crucial role in designing, building and maintaining high-quality research computing environments that are scalable, reproducible and AI-ready. These environments will empower LSE researchers to maximise the effectiveness of their computational tools, workflows and data management systems.

By collaborating with researchers, IT teams, and external partners, the post-holder will drive best practices in HPC, cloud platforms, virtual research environments and open science initiatives. This role will also focus on developing secure, collaborative research environments that facilitate seamless partnerships between internal and external researchers while upholding security best practices and integrating AI/ML ready infrastructures to support the next generation of computational research.

We Are Looking For Dynamic Individuals With

Proven experience with research software, scientific computing frameworks and HPC
Expertise in scripting and automation
Strong understanding of containerisation and virtual research environments
Experience implementing automated data lineage and workflow tracking tools
Knowledge of commonly used research software.
Experience with large-scale data analysis frameworks
A passion for enabling cutting-edge research through technology and innovation

We offer an occupational pension scheme, generous annual leave, hybrid working, and excellent training and development opportunities.

For further information about the post, please see the how to apply document, job description and the person specification.

To apply for this post, please go to www.jobs.lse.ac.uk . If you have any technical queries with applying on the online system, please use the “contact us” links at the bottom of the LSE Jobs page. Should you have any queries about the role, please email dts.admin@lse.ac.uk

The closing date for receipt of applications is Sunday 1 June 2025 (23.59 UK time). Regrettably, we are unable to accept any late applications.

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