4,088 National Physical Laboratory jobs in the United Kingdom

• Design, conduct, and analyze experiments.
• Develop and optimize research methodologies.
• Interpret complex data and draw meaningful conclusions.
• Prepare detailed research reports, publications, and presentations.
• Collaborate with cross-functional teams on research projects.
• Maintain accurate laboratory notebooks and records.
• Operate and maintain specialized scientific equipment.
• Stay current with scientific literature and advancements in the field.
• Contribute to project planning and strategy development.
• Ensure adherence to safety protocols and quality standards.

• Proven experience in scientific research or a related R&D role.
• Strong knowledge of experimental design and data analysis techniques.
• Proficiency in relevant scientific software and laboratory techniques.
• Excellent analytical and problem-solving skills.
• Strong written and verbal communication skills.
• Ability to work independently and collaboratively in a team environment.
• Ph.D. or Master's degree in a relevant scientific discipline (e.g., Chemistry, Biology, Physics, Engineering).

Senior Research Scientist 3A – in Biokinetics

Start date: Asap

Contract duration: 2-year contract – possible extension after

Location: Bracknell, fully on-site

PAYE rate: £19.46 per hour

About this opportunity:

We are looking for a Senior Research Scientist who specialises in plant physiology and/or plant biochemistry, and who has proven experience in a research setting to join the Bioperformance group within Bioscience in Crop protection. The group conducts research on the ADME (Absorption, Distribution, Metabolism and Elimination) behaviour of active ingredients (AI) within target and non-target species, enabling understanding of critical performance characteristics such as selectivity, resistance and translation to the field. If successful, as part of the Herbicide Biokinetics team, you would work on the optimisation and deployment of assays using LCMS analysis.

Role purpose:

• Assume responsibility for delivering high quality data to herbicide research projects that you have generated from biokinetics assays. Analyse data, feedback results, contribute scientific advice and propose appropriate follow up studies. Troubleshoot where necessary.

• Using own expertise introduce new technologies and devise improvements to assay protocols to generate operational efficiencies using automation and digital tools.

• Devise and develop new capabilities/experimental strategies to support the ADME-related requirements of projects and programs. Independently design and perform experiments to evaluate the robustness and validity of the biokinetics assays

• Effectively communicate scientific findings and resulting implications within the group and to cross-disciplinary projects.

To be successful in this role, we believe you will need:

• Essential: MSc and/or PhD in plant physiology, in plant biochemistry or related degree.

• Essential: 2+ years of research experience, either in a relevant professional or academic setting.

• Essential: Proven track record in experimental design and troubleshooting.

• Essential: Excellent data processing and analysis skills

• Essential: Ability to work effectively with staff at all levels within the organisation.

• Essential: Record of working with and influencing others through your scientific knowledge and experience.

• Essential: Willingness to deepen scientific knowledge and understanding of the broader crop protection industry

• Desirable: Experience of analysing small molecules using LCMS.

• Desirable: an interest in applying data that you have generated in predictive modelling.

Are you an AI Research Scientist passionate about using LLMs and machine learning to reshape how organisations understand people?

We’re looking for a curious and pragmatic AI Research Scientist to join a remote team building the next generation of AI-powered insight tools. You’ll be working on a real-world research platform already in production — now expanding into new territory with retrieval-augmented generation (RAG), vector search, and intelligent automation.

In this role, you’ll help reimagine how unstructured and structured data from large-scale surveys and discussions can be turned into clear, actionable insight using advanced AI. From redesigning RAG stacks to building AI-powered report writers and secure vector stores, you’ll be solving rich, challenging problems at the intersection of NLP, data infrastructure, and human understanding.

Whether you’ve shipped AI features before or have strong personal research and projects, this is a chance to shape products used by real researchers and clients every day.

What’s in it for you?

Human-Centred AI : Build tools that help researchers analyse real human thoughts, opinions, and behaviours — at scale.

• Design and execute complex experiments in molecular biology, cell biology, and biochemistry.
• Develop and validate new assays and methodologies.
• Analyze and interpret experimental data using advanced statistical software.
• Prepare detailed research reports, manuscripts for publication, and presentations for scientific conferences.
• Collaborate with cross-functional research teams, including bioinformaticians and clinical researchers.
• Maintain meticulous laboratory records and ensure compliance with safety protocols.
• Troubleshoot experimental challenges and propose innovative solutions.
• Contribute to the intellectual property generated by the research group.
• Mentor junior research staff and interns.
• Stay abreast of the latest scientific literature and technological advancements in the field.

• PhD in Biotechnology, Molecular Biology, Biochemistry, or a related life science discipline.
• A minimum of 3-5 years of post-doctoral research experience in an academic or industry setting.
• Proven expertise in relevant experimental techniques (e.g., PCR, Western blotting, cell culture, ELISA, protein purification).
• Strong understanding of data analysis and statistical methods.
• Proficiency with scientific software (e.g., GraphPad Prism, R, Python for data analysis).
• Excellent written and verbal communication skills, with a strong publication record.
• Ability to work independently and collaboratively in a team-oriented environment.
• Strong problem-solving skills and critical thinking abilities.
• Experience with mammalian cell culture and aseptic techniques is essential.
• Familiarity with bioinformatics tools is a plus.

• Conduct cutting-edge research in artificial intelligence and machine learning.
• Develop and implement novel AI algorithms and models.
• Explore advanced areas such as deep learning, NLP, and computer vision.
• Design and execute research experiments, analyze results, and draw conclusions.
• Collaborate with a remote team of researchers and engineers.
• Publish research findings in top-tier academic venues and contribute to patents.
• Stay current with the latest advancements in AI and emerging technologies.
• Contribute to the development of AI-powered products and solutions.
• Communicate complex technical concepts effectively.

• PhD or Master's degree in Computer Science, AI, Machine Learning, or a related field.
• Proven research experience with a strong publication record in AI/ML conferences/journals.
• Expertise in machine learning, deep learning, NLP, or computer vision.
• Proficiency in programming languages such as Python and AI frameworks (TensorFlow, PyTorch).
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills for remote work.
• Ability to work independently and manage research projects effectively.

• Conduct theoretical and applied research in areas such as deep learning, natural language processing, computer vision, reinforcement learning, and generative models.
• Develop, train, and evaluate state-of-the-art machine learning models and algorithms.
• Design and implement experiments to test hypotheses and validate research findings.
• Analyze large datasets to extract insights and inform model development.
• Stay abreast of the latest advancements in AI and machine learning through literature review and conference participation.
• Collaborate with engineering teams to translate research prototypes into production-ready systems.
• Publish research findings in top-tier academic conferences and journals.
• Contribute to the intellectual property portfolio through invention disclosures and patent applications.
• Mentor junior researchers and contribute to a vibrant research community.
• Ensure ethical considerations and bias mitigation are integrated into AI development processes.

• PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• Proven track record of research and development in AI/ML, demonstrated through publications, open-source contributions, or patents.
• Strong theoretical understanding of machine learning principles and algorithms.
• Proficiency in programming languages such as Python, and expertise in ML frameworks like TensorFlow, PyTorch, or Keras.
• Experience with data manipulation and analysis tools.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to explain complex technical concepts clearly.
• Ability to work independently and as part of a highly motivated research team in a remote setting.
• Familiarity with cloud computing platforms (AWS, Azure, GCP) is a plus.
• A proactive and curious mindset, with a passion for innovation in AI.

• Conduct theoretical and applied research in areas of Artificial Intelligence, Machine Learning, Deep Learning, and Natural Language Processing.
• Design, develop, and implement novel AI algorithms and models.
• Prototype and evaluate AI systems for various applications.
• Collaborate with a team of researchers and engineers to advance AI capabilities.
• Stay abreast of the latest research and developments in the AI field.
• Publish research findings in top-tier conferences and journals.
• Contribute to the intellectual property portfolio of the company.
• Translate research concepts into practical, implementable solutions.
• Analyze and interpret large datasets to inform research directions.
• Present research progress and findings to internal teams and external stakeholders.

• PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven track record of research and publications in reputable AI/ML venues.
• Deep understanding of machine learning algorithms, statistical modeling, and optimization techniques.
• Proficiency in programming languages such as Python, and familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with data analysis and large-scale data processing.
• Strong problem-solving skills and the ability to think creatively.
• Excellent written and verbal communication skills.
• Ability to work independently and collaborate effectively in a remote research setting.
• Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.
• Passion for scientific discovery and innovation in AI.

• Conducting cutting-edge research in artificial intelligence and machine learning.
• Developing and implementing novel AI algorithms and models.
• Designing and executing experiments to validate research hypotheses.
• Analysing large datasets to extract meaningful insights and identify patterns.
• Building and training deep learning models for various applications.
• Evaluating and optimising model performance and scalability.
• Collaborating with cross-functional teams to integrate AI solutions into products.
• Staying abreast of the latest advancements in AI research and technologies.
• Contributing to technical documentation, research papers, and presentations.
• Exploring and evaluating new AI tools and frameworks.
• Mentoring junior researchers and engineers in AI best practices.