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- Tasks: Join our team to tackle real-world challenges in data science and AI.
- Company: Be part of the National Physical Laboratory, a leader in scientific research.
- Benefits: Enjoy opportunities for travel, collaboration, and professional growth.
- Why this job: Make an impact in industry, healthcare, and the environment while working with cutting-edge technologies.
- Qualifications: PhD or relevant degree in computer science or related fields; experience in data engineering is essential.
- Other info: Role based in Glasgow or Cambridge with potential for international travel.
The predicted salary is between 36000 - 60000 £ per year.
Higher Scientist – Informatics (Glasgow or Cambridge)
Join to apply for the Higher Scientist – Informatics (Glasgow or Cambridge) role at National Physical Laboratory (NPL)
Higher Scientist – Informatics (Glasgow or Cambridge)
Join to apply for the Higher Scientist – Informatics (Glasgow or Cambridge) role at National Physical Laboratory (NPL)
Please note role can be based at either of our Glasgow or Cambridge hub offices
At NPL, we are looking for an experienced scientist with a real passion for tackling some of the biggest challenges in industry, energy, the environment, and healthcare to join our Informatics group within the Data Science & AI department. As a Higher Scientist, you\’ll be expected to acquire new knowledge to find solutions to advance our research, build our capability and provide impact to our clients through project delivery.
The work conducted within the Data science & AI department responds to the national challenges of:
Prosperity : delivering measurement solutions to maximise innovation and prosperity in advanced manufacturing
Security and resilience: managing the risks to our national security and resilience infrastructure
Environment : science-directed measurement solutions for environment climate action and a sustainable future
Health : supporting healthcare, life science and the bio economy
You will be working on data-based projects through practical and theory-based learning in the field of data engineering by developing semantic web technologies, ontologies, knowledge representation, knowledge graphs and Natural Language Processing to support data used in a range of complex systems.
As a Higher Scientist, you will collaborate with a variety of teams, both internal and external to NPL, within academic, industrial and governmental sectors, and at national and international levels. You will be expected to use logical thinking skills for designing and following a work plan, along with developing technical documents including scientific publications. Additionally, you will contribute to project idea generation, bidding support and consideration of digital products and services that could be built upon your research.
The role can be based at either of our Glasgow or Cambridge hub offices with occasional travel required to our main Teddington (London) site, and between our hub sites in Glasgow and Cambridge. Additional opportunities to travel both nationally and internationally will become available as part of your role in delivery projects, collaborating with partners, and through conference attendance.
About You
We are seeking a Higher Scientist to work on data engineering aspects of Informatics. You will understand how data science works within areas such as semantic technologies, ontologies and knowledge representations / graphs, and have an appreciation of how the subject is being researched, how it can be implemented through software tools, and its impact within real-world applications.
To be successful in the Higher Scientist role, you will have the following skills and qualifications:
- Experience in working within scientific domains
- Experience in data modelling and data architecture
- Demonstrable interest / experience in semantic web technologies, ontologies, knowledge representation, knowledge graphs or Natural Language Processing
- Experience with graph databases (e.g. GraphDB, Neo4J)
- Knowledge of existing ontologies such as Schema.org, PROV-O, QUDT, SOSA/SSN
- Experience in accessing and exposing data through Rest APIs, e.g. through application of FastAPI, OpenAPI etc.
- Experience in RDF, OWL, SPARQL
Education
- PhD (desirable) / Bachelor / Master\’s in computer science, software engineering, physics, mathematics or an applicable scientific / technical field
- An object-oriented programming language, e.g. Python, Java, C#
- Working with relational database systems, e.g. MySQL, Oracle, PostgreSQL
- Working with Git version control system
- Interest in metrology and scientific research
We actively recruit citizens of all backgrounds, but the nature of our work in specific departments means that nationality, residency and security requirements can be more tightly defined than others. You will be asked about this throughout the recruitment process. To work at NPL, you will need to obtain BPSS security clearance.
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
Seniority level
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Higher Scientist – Informatics (Glasgow or Cambridge) employer: National Physical Laboratory (NPL)
Contact Detail:
National Physical Laboratory (NPL) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Higher Scientist – Informatics (Glasgow or Cambridge)
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as semantic web technologies and knowledge graphs. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field of data science and informatics. Attend relevant conferences or webinars where you can meet people from NPL or similar organisations. Building these connections can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Stay updated on current trends and challenges in the areas of industry, energy, environment, and healthcare. Being knowledgeable about these topics will demonstrate your passion for the field and your readiness to tackle real-world problems.
✨Tip Number 4
Prepare to discuss your previous experiences with data modelling and architecture. Be ready to share specific examples of projects you've worked on that relate to the skills required for this role, as this will showcase your practical expertise.
We think you need these skills to ace Higher Scientist – Informatics (Glasgow or Cambridge)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, semantic technologies, and any specific projects that align with the role. Use keywords from the job description to demonstrate your fit for the position.
Craft a Compelling Cover Letter: In your cover letter, express your passion for tackling industry challenges and how your background in data engineering can contribute to NPL's goals. Mention specific skills like knowledge representation and Natural Language Processing that are relevant to the role.
Showcase Relevant Projects: If you have worked on projects involving graph databases or REST APIs, be sure to include these in your application. Describe your role and the impact of these projects to illustrate your hands-on experience.
Highlight Collaboration Skills: Since the role involves collaboration with various teams, emphasise your experience working in multidisciplinary environments. Provide examples of how you've successfully collaborated with academic, industrial, or governmental partners.
How to prepare for a job interview at National Physical Laboratory (NPL)
✨Show Your Passion for Data Science
Make sure to express your enthusiasm for tackling challenges in industry, energy, environment, and healthcare. Share specific examples of how your passion has driven your previous work or projects.
✨Demonstrate Technical Knowledge
Be prepared to discuss your experience with semantic web technologies, ontologies, and knowledge graphs. Highlight any relevant projects where you applied these skills, especially in data modelling and architecture.
✨Prepare for Collaborative Scenarios
Since the role involves collaboration with various teams, think of examples where you've successfully worked in a team setting. Be ready to discuss how you handle differing opinions and contribute to group success.
✨Understand the Role's Impact
Research how the Higher Scientist role contributes to national challenges like prosperity, security, and health. Be ready to articulate how your work can make a difference in these areas during the interview.
