6 July 2021

Glasgow & Teddington

NPL is the UK`s National Measurement Institute providing the measurement expertise that underpins UK prosperity and quality of life. We are a world-leading research facility, bringing together scientists and engineers from almost every field to help save lives, protect the environment, and enable citizens to feel safe and secure as well as support global trade and innovation.

We are investing in Data Science to address scientific challenges within the application areas of Advanced Manufacturing, Energy & Environment, and Life Sciences & Health in line with significant organisational growth and transformation plans.

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

Your role will focus on bringing best practice from software development into scientific data management to drive the NPL Scientific Digital Transformation program. Working alongside the world leading scientists at NPL and our partners in academia and industry, you will help advance their research by creating optimal data infrastructures throughout varied projects.

You will be working across the entire data pipeline across a range of application areas, from configuring data sources to integrating analytical tools. You will be developing data architectures, protocols and software tools to promote the FAIR principles (making data findable, accessible, inter-operable and reusable) and enable knowledge representation and reasoning.  We are looking for self-motivated individuals who are comfortable supporting the data needs of multiple teams and platforms. 

You will be working in a diverse and growing team on a range of knowledge management projects across different science and industry domains. 

Example projects you may be involved in include: 

  • Developing ontologies to support automation in advanced manufacturing,

  • Creating data structures and storage architecture for advanced materials,

  • Defining data quality metrics for medical data sets used to train machine learning systems,

  • Building information models to represent scientific experiments,  

  • Identifying, designing, and implementing improved research data processing: automating manual data capture, optimising data delivery, re-designing infrastructure for greater scalability, etc.

The ~30 people strong NPL Data Science Team is spread across three geographical locations: Teddington, Cambridge and Glasgow. Due to COVID-19, the entire team are currently working remotely.  We are currently looking to hire in both Glasgow and Teddington, but travel between the three sites will be required on occasions.

Please note that although we can accomodate flexible working, this is not a fully remote role. 


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