5,083 Research jobs in the United Kingdom

We are seeking a highly motivated and skilled Research Scientist to join our dynamic R&D team. The successful candidate will design, execute, and analyse experiments to advance our understanding and contribute to the development of innovative products and therapies. This role requires both strong laboratory expertise and critical thinking skills, as well as the ability to collaborate across multidisciplinary teams.

Key Responsibilities

• Design, plan, and execute experiments.
• Analyse experimental data using appropriate statistical and bioinformatics tools.
• Maintain accurate and detailed laboratory records, including electronic lab notebooks.
• Prepare technical reports, presentations, and manuscripts for internal review or publication.
• Collaborate with internal teams (engineering, computational biology, regulatory, and clinical) to support project goals.
• Develop, optimize, and validate new protocols, assays, and methodologies.
• Stay current with scientific literature and emerging technologies in the field.
• Adhere to laboratory safety protocols, GLP/GMP standards, and company policies.

Qualifications

Education & Experience:

• PhD in Life Sciences, Biotechnology, Molecular Biology, Biochemistry, or related field (Master’s with relevant experience may be considered for certain roles).
• 2+ years of postdoctoral or industry research experience preferred.

Technical Skills:

• Strong hands-on experience.
• Proficiency in data analysis software (e.g., R, Python, Prism) and bioinformatics tools.
• Familiarity with regulatory and quality standards (GLP/GMP) is a plus.

Soft Skills:

• Excellent problem-solving and analytical thinking.
• Strong written and verbal communication skills.
• Ability to work independently and as part of a collaborative team.
• Attention to detail and organizational skills.

Benefits

• Competitive salary and performance-based bonuses
• Health, dental, and vision insurance
• Retirement savings plan (401k)
• Professional development opportunities
• Flexible work arrangements

If this sounds like you, you'll fit right in.

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Job Title: Research Scientist – Immunology

Location: On site in Slough

Role Overview:

Contribute to the advancement of therapeutic candidates throughout the research and clinical development pipeline. Execute translational in vitro assays to assess novel therapies, explore mechanisms of action, and uncover new therapeutic targets.

Key Responsibilities:

• Design and conduct functional assays for screening, mechanism-of-action studies, and target validation.
• Interpret scientific data and resolve technical challenges effectively.
• Collaborate across multiple projects, demonstrating strong communication and teamwork.
• Share findings in cross-functional meetings and ensure accurate documentation of experimental work.
• Complete required training and maintain compliance with internal procedures.
• Adhere to Human Tissue Act (HTA) regulations, ensuring all relevant policies are understood and training is current.
• Promote and maintain safe laboratory practices.

Required Skills & Experience:

• Hands-on experience with immune cell functional assays such as cytotoxicity, proliferation, mixed lymphocyte reactions, and antigen recall.
• Familiarity with Fc-mediated depletion assays including ADCC, ADCP, and CDC.
• Skilled in isolating primary immune cell subsets from whole blood using FACS and MACS.
• Proficient in multi-parameter flow cytometry, including the design of complex antibody panels for immune profiling.
• Competent in data analysis using tools such as FlowJo, GraphPad Prism, Excel, and R.
• Demonstrated compliance with HTA guidelines for handling human cells and tissues.
• Ability to manage multiple projects and prioritize tasks to meet deadlines.

• Conduct advanced research in artificial intelligence and machine learning.
• Design, implement, and evaluate novel AI algorithms and models.
• Develop and prototype AI systems for various applications.
• Collaborate with engineering teams to integrate research findings into production systems.
• Publish research papers and present findings at leading AI conferences.
• Stay abreast of the latest advancements and trends in AI and related fields.
• Mentor junior researchers and contribute to the team's knowledge sharing.

• PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Demonstrated experience in AI research through publications or significant project contributions.
• Strong programming skills (Python) and experience with AI/ML libraries (TensorFlow, PyTorch).
• Expertise in at least one major area of AI (e.g., deep learning, NLP, computer vision).
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to work independently and drive research initiatives forward.
• Strong communication and collaboration skills.

• Design, implement, and manage field and laboratory experiments related to crop performance.
• Collect, analyze, and interpret agronomic data using statistical software.
• Evaluate the efficacy and safety of new agricultural products and technologies.
• Develop and refine best practice recommendations for crop cultivation.
• Collaborate with R&D teams to identify research priorities and project objectives.
• Prepare detailed research reports, scientific publications, and presentations.
• Maintain accurate experimental records and ensure adherence to safety protocols.
• Stay updated on the latest advancements in agronomy and agricultural science.
• Provide technical support and guidance to field teams and customers.

• MSc or PhD in Agronomy, Crop Science, Plant Science, Soil Science, or a related field.
• Proven experience in conducting agricultural field trials and laboratory research.
• Proficiency in statistical analysis software (e.g., R, SAS, SPSS).
• Strong knowledge of plant physiology, soil chemistry, and crop protection.
• Excellent written and verbal communication skills.
• Ability to work effectively both independently and as part of a team.
• Familiarity with Good Experimental Practice (GEP) or similar research standards.
• A passion for sustainable agriculture and technological innovation.

• Conduct state-of-the-art research in areas such as machine learning, deep learning, natural language processing, computer vision, or reinforcement learning.
• Develop and implement novel AI algorithms and models, leveraging advanced mathematical and statistical techniques.
• Design and execute experiments to evaluate the performance and robustness of AI systems.
• Collaborate with cross-functional teams, including software engineers and product managers, to translate research findings into practical applications.
• Stay abreast of the latest academic research and industry trends in AI and machine learning.
• Publish research findings in top-tier conferences and journals.
• Contribute to patent applications and intellectual property development.
• Develop and maintain high-quality, well-documented code for research prototypes and experimental frameworks.
• Present research progress and results to internal stakeholders and at external forums.
• Mentor junior researchers and interns, fostering a culture of learning and innovation.

• 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, patents, or significant project contributions.
• Strong theoretical understanding and practical experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Proficiency in programming languages such as Python, R, or C++.
• Experience with data manipulation, analysis, and visualization techniques.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to convey complex technical concepts clearly.
• Ability to work both independently and collaboratively in a team environment.
• Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.
• A genuine passion for pushing the boundaries of AI and its applications.

• Conducting cutting-edge research in areas such as machine learning, deep learning, natural language processing, computer vision, or reinforcement learning.
• Developing and implementing novel AI algorithms and models to address complex problems.
• Designing and executing experiments to validate research hypotheses and evaluate model performance.
• Collaborating with cross-functional teams, including engineers and product managers, to translate research findings into practical applications.
• Staying abreast of the latest advancements in AI research and contributing to academic publications and conferences.
• Developing prototypes and proof-of-concepts for new AI technologies.
• Optimizing AI models for performance, scalability, and efficiency.
• Contributing to the intellectual property portfolio of the company through patents and publications.
• Mentoring junior researchers and engineers.
• Analyzing large datasets to extract insights and inform model development.
• Ensuring the ethical and responsible development and deployment of AI systems.
• Participating in code reviews and contributing to the overall software engineering best practices within the team.

• PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven research experience demonstrated through publications in top-tier AI conferences/journals or significant contributions to AI projects.
• Strong theoretical understanding of machine learning, deep learning, statistical modeling, and related AI concepts.
• Proficiency in programming languages such as Python and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras).
• Experience with data manipulation and analysis techniques.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to articulate complex technical concepts to diverse audiences.
• Ability to work effectively in a hybrid environment and as part of a collaborative team.

• Design and execute complex experiments to investigate biological pathways and drug mechanisms.
• Analyze experimental data using advanced statistical methods and interpret results.
• Develop and validate new analytical methods and protocols.
• Contribute to the writing of research reports, scientific publications, and regulatory submissions.
• Collaborate with cross-functional teams, including chemists, biologists, and clinicians.
• Maintain accurate and detailed laboratory records and documentation.
• Stay abreast of the latest scientific literature and technological advancements in the pharmaceutical field.
• Ensure compliance with all laboratory safety regulations and company policies.
• Present research findings at internal meetings and external scientific conferences.
• Contribute to the intellectual property strategy of the company.

• Ph.D. or Master's degree in Pharmacology, Biochemistry, Molecular Biology, Chemistry, or a related life science discipline.
• Proven experience in pharmaceutical research and drug discovery.
• Strong practical skills in relevant laboratory techniques (e.g., cell culture, PCR, Western blotting, chromatography).
• Proficiency in data analysis software (e.g., GraphPad Prism, R) is highly desirable.
• Excellent problem-solving abilities and critical thinking skills.
• Strong scientific writing and presentation skills.
• Ability to work independently and as part of a collaborative research team.
• Detail-oriented with a commitment to scientific rigor and accuracy.
• Experience in a specific therapeutic area (e.g., oncology, immunology) is a plus.