265 Research jobs in Farnborough

We are seeking aResearch Scientistto support exploratory research and in vitro assay development within a multidisciplinary Antibody & Novel Therapeutics team. The role focuses on advancing nucleic acid sciences and progressing new drug modalities.

Key responsibilities

• Evaluate nucleic acid modalities (DNA, RNA, oligonucleotides) as therapeutic candidates
• Investigate non-viral delivery systems, including lipid nanoparticles (LNPs)
• Design and execute cell-based assays using cell lines and primary immune cells
• Analyse data, troubleshoot, and contribute to project reporting and decision-making
• Collaborate across teams to support early-stage drug discovery

Requirements

• BSc/MSc/PhD in cell biology, immunology, or related field
• Strong experience in cell culture, including primary immune cells
• Hands-on experience with nucleic acid technologies (ASO, siRNA, mRNA, CRISPR)
• Familiarity with delivery systems such as LNPs or viral carriers
• Skilled in flow cytometry, qPCR, and imaging
• Strong teamworking and communication skills

This role is offered on an initial 12 month contract with potential for extension.

Apply to VRS today!

Keywords: nucleic acid, DNA, RNA, oligonucleotides, ASO, siRNA, mRNA, CRISPR, LNPs, lipid nanoparticles, drug delivery, flow cytometry, qPCR, cell culture, immunology, pharmaceutical, biopharmaceutical, biotherapeutic, industry, Berkshire, Reading, Slough, London,VRS9156SE

• Lead and manage research projects from initiation to completion.
• Design, conduct, and optimise complex experiments and studies.
• Analyse and interpret scientific data using advanced statistical techniques.
• Develop and validate new scientific methodologies and protocols.
• Write comprehensive research reports, publications, and patent applications.
• Present research findings to internal teams, management, and at conferences.
• Mentor and guide junior researchers and scientific staff.
• Collaborate effectively with cross-functional teams and external partners.
• Stay abreast of the latest scientific advancements and relevant literature.
• Ensure compliance with laboratory safety standards and regulatory requirements.

• PhD in a relevant scientific discipline (e.g., Chemistry, Biology, Physics, Engineering, Computer Science).
• Minimum of 6 years of post-doctoral or industry research experience.
• Proven track record of leading successful research projects and delivering impactful results.
• Expertise in experimental design, data analysis, and interpretation.
• Strong publication record and/or patent filings.
• Experience with relevant laboratory techniques and analytical instrumentation.
• Excellent leadership, mentoring, and team management skills.
• Exceptional written and verbal communication skills.
• Ability to work effectively in both collaborative and independent settings.
• Familiarity with hybrid work models and remote collaboration tools.

• Conduct cutting-edge research in artificial intelligence and machine learning.
• Develop and implement novel AI algorithms and models.
• Design and execute experiments to validate research hypotheses.
• Analyze and interpret complex datasets to extract insights.
• Stay current with the latest advancements in AI research and technology.
• Collaborate with engineering teams to deploy AI solutions.
• Publish research findings in top-tier conferences and journals.
• Contribute to intellectual property development (patents).
• Mentor junior researchers and interns.
• Present research progress and findings to stakeholders.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Proven track record of research in AI/ML, demonstrated through publications or projects.
• Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch).
• Strong programming skills in Python, with experience in relevant libraries (NumPy, SciPy, Pandas).
• Solid understanding of machine learning algorithms, statistical modeling, and data science principles.
• Experience with large-scale data processing and analysis.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration abilities.
• Experience in deploying AI models into production environments is a plus.

• Design, execute, and manage agronomic research trials, including experimental design, data collection, and statistical analysis.
• Investigate factors affecting crop growth, health, and yield, such as soil fertility, pest management, and environmental conditions.
• Develop and test new crop varieties and cultivation techniques.
• Analyze experimental data using statistical software and interpret results to draw meaningful conclusions.
• Prepare detailed research reports, scientific publications, and presentations for internal and external audiences.
• Collaborate with plant breeders, soil scientists, and other researchers to integrate findings into broader research programs.
• Ensure the safe and efficient operation of laboratory and field research equipment.
• Stay abreast of the latest advancements in agronomy, crop science, and sustainable agriculture.
• Provide technical guidance and support to field staff and stakeholders.
• Contribute to the development of research proposals and grant applications.

• MSc or PhD in Agronomy, Crop Science, Plant Science, or a closely related field.
• Proven experience in designing and conducting agricultural field trials.
• Strong knowledge of statistical analysis methods and software (e.g., R, SAS, SPSS).
• Proficiency in experimental design principles.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to work independently and as part of a collaborative research team.
• Good written and verbal communication skills, with the ability to present complex scientific information clearly.
• Experience with data management and visualization tools.
• Familiarity with soil science, plant pathology, and entomology is desirable.
• Willingness to undertake fieldwork, which may involve travel and working in various weather conditions.

• Assist in the design and execution of field and laboratory experiments related to crop physiology, soil science, and pest/disease management.
• Conduct regular field monitoring and data collection, including plant growth measurements, soil sampling, and environmental data recording.
• Operate and maintain research equipment, including weather stations, soil testing kits, and sampling tools.
• Prepare experimental plots, including sowing, fertilizing, and applying treatments according to research protocols.
• Assist with laboratory analysis of soil, plant, and water samples.
• Accurately record and manage experimental data using databases and statistical software.
• Contribute to the analysis of experimental results and the preparation of research reports and presentations.
• Ensure compliance with all health and safety regulations in field and laboratory settings.
• Maintain research facilities, greenhouses, and equipment in good working order.
• Assist with the organisation and delivery of field days and stakeholder engagement events.
• Stay up-to-date with current research and developments in agronomy and related fields.
• Support senior researchers with literature reviews and manuscript preparation.

• A Bachelor's degree or equivalent in Agronomy, Crop Science, Agriculture, or a related discipline.
• Previous experience in agricultural research, field trials, or horticultural science is highly desirable.
• Knowledge of crop growth, soil science, and common agricultural pests and diseases.
• Proficiency in data collection and management, with experience using statistical software (e.g., R, SPSS) or databases being an advantage.
• Familiarity with operating and maintaining scientific equipment.
• Good understanding of experimental design principles.
• Strong observational skills and meticulous attention to detail.
• Ability to work effectively both independently and as part of a team.
• Good written and verbal communication skills.
• Willingness to work outdoors in various weather conditions and occasional longer hours during peak seasons.
• A valid UK driving licence is essential for accessing field sites.

Job Title: Senior 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.

• Lead and execute cutting-edge research projects in drug discovery and development.
• Design, implement, and optimize complex experimental protocols.
• Analyze and interpret large datasets, drawing robust scientific conclusions.
• Develop and validate new assays and technologies.
• Mentor and guide junior research scientists.
• Contribute to the strategic planning of research programs.
• Author scientific publications, patents, and regulatory documents.
• Collaborate effectively with cross-functional internal teams and external partners.
• Present research findings at scientific conferences and internal meetings.
• Maintain deep knowledge of the latest advancements in pharmaceutical research.

• Ph.D. in Pharmacology, Molecular Biology, Biochemistry, or a related life science discipline.
• A minimum of 8-10 years of post-doctoral research experience in the pharmaceutical or biotechnology industry.
• Demonstrated expertise in a specific therapeutic area (e.g., oncology, immunology, neuroscience).
• Proven track record of successful drug discovery and/or development contributions.
• Extensive experience with various molecular and cellular biology techniques.
• Strong publication record and/or patent contributions.
• Excellent scientific judgment, analytical skills, and problem-solving abilities.
• Exceptional communication, presentation, and interpersonal skills for remote collaboration.
• Experience working effectively in a fully remote research environment.

• Lead and conduct cutting-edge research in artificial intelligence and machine learning.
• Develop and implement novel algorithms and models for AI applications.
• Publish research findings in leading academic conferences and journals.
• Collaborate with engineering teams to deploy research prototypes into production systems.
• Mentor and guide junior research scientists and engineers.
• Identify emerging trends and opportunities for AI research and development.
• Stay current with the latest advancements in the field of AI.
• Contribute to the intellectual property strategy of the company.
• Present research findings to technical and non-technical audiences.
• Drive innovation and contribute to the overall AI strategy.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Extensive research experience with a strong publication record.
• Proven expertise in deep learning, reinforcement learning, NLP, or computer vision.
• Proficiency in Python and machine learning frameworks (TensorFlow, PyTorch).
• Experience with large-scale data processing and distributed systems.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent communication and interpersonal skills.
• Ability to work independently and collaboratively in a remote environment.