2,896 Climate Scientist 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.

• Conducting theoretical and applied research in artificial intelligence and machine learning.
• Developing, implementing, and evaluating new AI algorithms and models.
• Designing and executing experiments to test hypotheses and validate findings.
• Collaborating with engineering teams to integrate research prototypes into production systems.
• Publishing research findings in leading academic journals and presenting at international conferences.
• Staying current with the latest advancements in AI and related fields.
• Mentoring junior researchers and contributing to the intellectual growth of the team.
• Contributing to the patenting of novel AI solutions.
• Writing clear and concise technical documentation and reports.

• Designing, conducting, and optimizing complex biological experiments and assays.
• Collecting, analyzing, and interpreting experimental data using statistical methods and specialized software.
• Developing and validating new laboratory protocols and methodologies.
• Maintaining accurate and detailed laboratory records, including electronic lab notebooks.
• Collaborating with cross-functional teams, including other scientists and R&D personnel.
• Presenting research findings at internal meetings and potentially at external scientific conferences.
• Troubleshooting experimental procedures and resolving technical challenges.
• Contributing to grant writing and the preparation of scientific publications.
• Staying abreast of the latest scientific literature and technological advancements in the field.

• Conduct original research in artificial intelligence and machine learning.
• Develop and implement novel algorithms and models for AI applications.
• Analyze large datasets to identify patterns and insights.
• Design and execute experiments to validate research hypotheses.
• Evaluate the performance of AI models and systems.
• Collaborate with engineering teams to deploy AI solutions into production.
• Stay current with the latest AI research and industry trends.
• Publish research findings in top-tier conferences and journals.
• Mentor junior researchers and contribute to knowledge sharing.
• Contribute to the company's AI strategy and roadmap.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven experience in AI research, with a strong portfolio of projects and publications.
• Deep understanding of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and statistical modeling.
• Proficiency in programming languages such as Python, R, or Java.
• Experience with big data technologies and cloud platforms (AWS, GCP, Azure).
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to work effectively in a remote team.

• Design, plan, and execute complex laboratory experiments in accordance with project objectives.
• Develop and optimize novel research methodologies and protocols.
• Analyze and interpret experimental data using statistical and bioinformatics tools.
• Maintain detailed and accurate laboratory notebooks and records.
• Contribute to the writing of research papers, reports, and patent applications.
• Collaborate with cross-functional teams, including other scientists, engineers, and technicians.
• Present research findings at internal meetings and external scientific conferences.
• Troubleshoot experimental issues and identify solutions.
• Stay updated on the latest scientific advancements and relevant literature in biotechnology.
• Contribute to the safety and efficient operation of the laboratory environment.

• A PhD or Master's degree in Biotechnology, Molecular Biology, Genetics, Biochemistry, or a closely related scientific field.
• Demonstrable hands-on laboratory experience with techniques relevant to biotechnology (e.g., PCR, Western blotting, cell culture, gene editing).
• Strong understanding of scientific principles and research methodologies.
• Proficiency in data analysis software and statistical methods.
• Excellent written and verbal communication skills, with the ability to present complex information clearly.
• Ability to work independently and as part of a collaborative research team.
• Strong problem-solving and critical-thinking skills.
• Meticulous attention to detail and commitment to high-quality research.
• Experience with specific areas like genomics, proteomics, or antibody engineering is a plus.