3,320 Atmospheric Scientist jobs in the United Kingdom

We are currently looking for researchers, retired researchers, and former researchers who can perform peer reviews for journals and publishers.

Note: This is a high-paying part-time job that allows for remote work . Please read the recruitment requirements carefully and fill out the application form accurately. Thank you.

WHAT YOU NEED to Have

• Doctorate PhD or equivalent advanced degree in the subject area
• Published at least 3 paper in SCIE/SSCI/A&HCI journals in the past two years
• Published at least 12 papers in SCIE/SSCI/A&HCI journals in the past ten years
• Thorough understanding of research methodologies and ethical principles within the relevant discipline
• Excellent analytical and critical thinking skills
• Strong written communication skills , with the ability to provide clear, concise, and constructive feedback
• Ability to adhere to deadlines and manage time effectively
• Commitment to maintaining confidentiality and objectivity
• Prior experience as a peer reviewer for academic journals is highly desirable
• Familiarity with online manuscript submission and review systems

WHAT YOU WILL DO

• Assess Novelty : Evaluate whether the manuscript is original and adds new knowledge or insights to the field of study.
• Evaluate Study Design and Methodology : Check whether the study design and methods are appropriate, comprehensive, and clearly described to ensure reproducibility.
• Literature Review : Ensure the manuscript thoroughly incorporates and cites relevant, up-to-date research in the field.
• Analyse Results and Conclusions : Determine whether results are presented clearly and appropriately, and whether conclusions are supported by the data and significant to the field.
• Provide Constructive Feedback : Suggest improvements and highlight any flaws, omissions, or ethical concerns.
• Recommend Publication : Based on your evaluation, the journal editor will decide whether the manuscript should be accepted, revised, or rejected.

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.