Vacancy for Research Data Engineers at NPL

6 July 2021

Locations: Glasgow & Teddington

NPL is the UK's National Measurement Institute, providing measurement expertise that underpins UK prosperity and quality of life. We are a world-leading research facility, bringing together scientists and engineers from various fields to help save lives, protect the environment, and support global trade and innovation.

We are investing in Data Science to address scientific challenges in Advanced Manufacturing, Energy & Environment, and Life Sciences & Health, aligned with our organizational growth and transformation plans.

The Data Science team at NPL is expanding, and we are seeking motivated candidates at all levels, from early career to experienced scientists, data engineers, and software developers. We offer a great work environment, competitive salaries, career opportunities, and a wide range of benefits.

Your role will focus on integrating best practices from software development into scientific data management to drive NPL's Scientific Digital Transformation. Working alongside leading scientists at NPL and our partners in academia and industry, you will help advance research by creating optimal data infrastructures across various projects.

You will work across the entire data pipeline, from configuring data sources to integrating analytical tools. Responsibilities include developing data architectures, protocols, and software tools to promote the FAIR principles (Findable, Accessible, Interoperable, Reusable) and enabling knowledge representation and reasoning. We seek self-motivated individuals capable of supporting the data needs of multiple teams and platforms.

You will be involved in a range of knowledge management projects across different science and industry domains, such as:

• Developing ontologies to support automation in advanced manufacturing
• Creating data structures and storage architectures for advanced materials
• Defining data quality metrics for medical datasets used in machine learning
• Building information models to represent scientific experiments
• Improving research data processing through automation, scalability, and infrastructure redesign

The NPL Data Science Team, comprising around 30 members across Teddington, Cambridge, and Glasgow, is currently working remotely due to COVID-19. We are hiring in both Glasgow and Teddington, with occasional travel between sites. Please note, while flexible working arrangements are possible, this role is not fully remote.