3,317 Research Scientist jobs in the United Kingdom

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.

• Conduct cutting-edge research in areas such as machine learning, deep learning, natural language processing, computer vision, or reinforcement learning.
• Develop novel AI algorithms and models to solve complex problems.
• Implement and evaluate AI models using relevant programming languages and frameworks (e.g., Python, TensorFlow, PyTorch).
• Design and execute experiments to test hypotheses and validate research findings.
• Collaborate with engineering teams to integrate research prototypes into production systems.
• Publish research findings in leading academic conferences and journals.
• Stay abreast of the latest advancements and research trends in AI and related fields.
• Analyze large datasets to extract insights and inform model development.
• Contribute to the intellectual property portfolio through patents and publications.
• Mentor junior researchers and interns.
• Present research findings to technical and non-technical audiences.
• Identify new research opportunities and propose innovative projects.
• Contribute to the strategic direction of the AI research roadmap.
• Ensure ethical considerations and responsible AI practices are integrated into research.
• Build and maintain strong collaborative relationships within the research community.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven track record of research and publications in top-tier AI conferences and journals.
• Strong theoretical foundation in AI/ML, mathematics, and statistics.
• Hands-on experience developing and deploying advanced AI models.
• Proficiency in Python and major AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with big data technologies and cloud computing platforms (e.g., AWS, Azure, GCP).
• Excellent problem-solving, analytical, and critical-thinking skills.
• Strong communication and presentation skills, with the ability to articulate complex ideas clearly.
• Ability to work independently and collaboratively in a fast-paced, remote research environment.
• Experience with software development best practices.
• Must be eligible to work in the UK.

• Design, execute, and optimize experiments related to drug discovery and development.
• Perform a variety of laboratory techniques and assays, including biochemical, cell-based, and molecular biology assays.
• Analyze and interpret experimental data, drawing meaningful conclusions and proposing next steps.
• Contribute to the development and validation of new assay methodologies.
• Maintain accurate and detailed laboratory notebooks and records.
• Collaborate effectively with a multidisciplinary team of scientists, chemists, and clinicians.
• Prepare scientific reports, presentations, and contribute to manuscript writing for publications and patents.
• Stay abreast of the latest scientific literature, technologies, and trends in the pharmaceutical industry.
• Troubleshoot experimental issues and propose solutions to ensure project progression.
• Ensure adherence to all laboratory safety protocols and regulatory guidelines.

• Design, execute, and optimise complex biological experiments.
• Analyse and interpret experimental data using appropriate statistical methods.
• Develop and validate new laboratory techniques and protocols.
• Maintain accurate and detailed records of research activities.
• Contribute to the writing of research papers, grant proposals, and reports.
• Collaborate with team members on research projects and data interpretation.
• Operate and maintain sophisticated laboratory equipment.
• Present research findings at scientific meetings and conferences.
• Ensure adherence to laboratory safety regulations and best practices.
• Stay abreast of current scientific literature and advancements in the field.

• PhD in Biotechnology, Molecular Biology, Biochemistry, or a related life science discipline.
• Proven track record of independent research and publications in reputable journals.
• Extensive hands-on experience with relevant laboratory techniques (e.g., molecular cloning, cell culture, protein analysis, PCR).
• Proficiency in data analysis and statistical software.
• Strong understanding of scientific principles and research methodologies.
• Excellent problem-solving, critical thinking, and analytical skills.
• Strong written and oral communication skills.
• Ability to work independently and collaboratively in a research team.
• Meticulous attention to detail and strong organisational skills.

• Conduct advanced research in areas such as machine learning, deep learning, natural language processing, computer vision, or reinforcement learning.
• Develop, implement, and evaluate novel AI algorithms and models.
• Design and execute experiments to test hypotheses and validate research findings.
• Collaborate with a team of researchers and engineers to integrate AI solutions into new and existing products.
• Stay current with the latest research trends and breakthroughs in AI and related fields.
• Publish research findings in top-tier conferences and journals.
• Contribute to the intellectual property portfolio of the company.
• Mentor junior researchers and contribute to the growth of the AI research team.
• Work with product teams to understand requirements and translate them into research objectives.
• Analyze large datasets to identify patterns and inform model development.
• Present research outcomes and technical findings to both technical and non-technical audiences.

• PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven track record of research and publication in leading AI conferences or journals.
• Strong theoretical understanding and practical experience in machine learning, deep learning, and related areas.
• Proficiency in programming languages such as Python, R, or C++, and AI frameworks like TensorFlow, PyTorch, or Keras.
• Experience with data analysis and large-scale data processing.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and presentation skills, with the ability to articulate complex technical concepts clearly.
• Ability to work both independently and collaboratively in a fast-paced research environment.
• Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.

• Conduct independent scientific research in drug discovery and development.
• Design, optimize, and execute experiments using relevant biological and chemical assays.
• Analyze and interpret complex experimental data, drawing sound conclusions.
• Develop and validate novel research methodologies and techniques.
• Prepare high-quality research reports, manuscripts for publication, and presentations.
• Collaborate effectively with cross-functional research teams in a remote setting.
• Stay abreast of the latest scientific literature and technological advancements in the field.
• Troubleshoot experimental challenges and propose solutions.
• Contribute to the intellectual property strategy of the company.
• Mentor junior research staff and interns as needed.

• PhD in Pharmacology, Biochemistry, Molecular Biology, Medicinal Chemistry, or a related discipline.
• Proven track record of scientific research with publications in reputable peer-reviewed journals.
• Extensive experience in drug discovery or pharmaceutical R&D.
• Expertise in relevant scientific techniques (e.g., cell culture, molecular biology, protein chemistry, high-throughput screening).
• Strong analytical and data interpretation skills.
• Excellent written and verbal communication skills for effective remote collaboration.
• Ability to work independently, manage multiple projects, and meet deadlines.
• Proficiency in scientific software and data analysis tools.

• Conduct cutting-edge research in artificial intelligence and machine learning.
• Design, develop, and implement novel AI algorithms and models.
• Evaluate and benchmark AI system performance.
• Collaborate with cross-functional teams to integrate AI solutions.
• Publish research findings in leading academic journals and conferences.
• Stay current with state-of-the-art AI research and technologies.
• Develop proof-of-concept applications and prototypes.
• Contribute to the intellectual property portfolio of the company.
• Mentor junior researchers and interns.
• Present research results to technical and non-technical audiences.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Proven track record of research and publication in top AI venues.
• Strong theoretical foundation in machine learning, deep learning, or related areas.
• Proficiency in programming languages such as Python.
• Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills.
• Ability to work independently and as part of a research team.
• Experience in areas like NLP, Computer Vision, or Reinforcement Learning is a plus.