About the Role

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. 

 

About You

Essential Experience:

  • Degree/PhD in Computer Science, Mathematics, or a science/engineering discipline.
  • Proficiency in at least one object-oriented language such as Python, Java, C++, etc.
  • Software design and modelling in UML.
  • A few years experience in one or more of the following:
    • Research data/software engineering in multi-disciplinary environment.
    • Development of methods and software for knowledge management and information processing.
    • Relational or non-relational database design.

Desirable Experience:

  • Addressing data challenges in real life scenarios.
  • Ability to manage your own workload.
  • Scientific problem-solving skills.
  • Report writing skills.
  • Formal knowledge representation and ontologies (f.e. OWL2, RDF, SPARQL). 
  • Object Stores and cloud storage.
  • Uncertainty Evaluations
 
Please note:  Applications will be reviewed, and interviews conducted throughout the duration of this advert therefore we may at any time bring the closing date forward.  We encourage all interested applicants to apply as soon as practical. 
About The Company

NPL and BEIS have strong commitments to diversity and equality of opportunity, and welcome applications from candidates irrespective of their background, gender, race, sexual orientation, religion, or age, providing they meet the required criteria. Applications from women, disabled and BAME candidates in particular are encouraged. All disabled candidates (as defined by the Equality Act 2010) who satisfy the minimum criteria for the role will be guaranteed an interview under the Disability Confident Scheme.

We’re transforming. As a national laboratory, we’re exploring even more commercial routes to market and that’s presenting us with greater opportunity – for you and us. Our success relies on the diversity and talent of our people, we strive to nurture and respect individuals to ensure everyone feels valued and supported to excel in their chosen field. This value is at the core of our organisation.

We believe in a culture of fairness by treating everyone on the basis of their own individual merits and abilities regardless of their own or perceived identity, background or any other factor irrelevant to a person’s work. At NPL we are committed to the health and well-being of our employees. Flexible working and social activities are embedded in our culture to create a positive work-life balance, along with a broad range of benefitsNPL’s values are at the heart of what we do and they shape the way we interact, develop our people and celebrate success.

As part of our commitment to diversity & inclusion, we signed up to the Institute of Physics' Project Juno in 2015 as a Juno Supporter. NPL were proud to be awarded Juno Practitioner status in 2018. NPL also joined Stonewall as a Diversity champion in 2015, participating in their annual Workplace Equality Index for the equality of LGBT+ community at NPL. In 2018, NPL became a member of the Business Disability Forum and joined the disability confident scheme as level 1 committed employer.

To ensure everyone has an equal chance, we’re always willing to make reasonable adjustments to the recruitment process. If you would like to discuss, please contact us.

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