7,060 Research And Development Departments jobs in the United Kingdom

We are looking to hire several contract Research Scientists with expertise in computer systems and AI infrastructure to conduct cutting-edge research at the intersection of computer systems, machine learning, and distributed systems. These roles are ideal for recent PhD graduates seeking industrial research experience, or for exceptional B.Sc. or M.Sc. graduates looking to deepen their research skills in an industry setting. We welcome applicants with backgrounds in one or more of the following areas: operating systems, distributed systems, and machine learning systems.

Key Responsibilities:

• Rapid Prototyping: Collaborate with a multidisciplinary team to quickly develop and test proof-of-concept prototypes, validating research ideas in real-world, industrial environments.
• Performance Optimization: Perform detailed profiling and optimization of operating systems and large-scale distributed systems, leveraging a range of heterogeneous hardware (e.g., CPU, NPU) for enhanced performance.
• Research Publications: Transform research findings and innovative contributions into high-impact publications in top-tier academic journals and conferences.
• Technical Documentation: Create and maintain comprehensive technical documentation outlining research methods, design decisions, and implementation specifics to ensure reproducibility and support internal knowledge sharing.
• Stakeholder Engagement: Communicate research progress, performance insights, and key outcomes to internal stakeholders through clear and engaging presentations.

Required:

• Bachelor's or Master's degree in Computer Science or a related technical field.
• Be comfortable with research methodology.
• Have an in-depth understanding of operating systems and/or distributed systems and/or cloud computing and/or machine learning algorithms.
• Good programming skills, master of at least one language, such as C/C++.
• Good communication and teamwork skills.

Desired:

• PhD in operating systems, distributed systems, machine learning, or a related field.
• Published papers in top journals/conferences focused on systems (NSDI, EuroSys, SoCC, OSDI etc.) and/or machine learning (NeurIPS, ICML, ICLR).
• Experience in the full lifecycle of developing, deploying, and maintaining large-scale cloud production systems, demonstrating expertise in scalability, reliability, and performance optimization.

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

We are looking to hire several contract Research Scientists with expertise in computer systems and AI infrastructure to conduct cutting-edge research at the intersection of computer systems, machine learning, and distributed systems. These roles are ideal for recent PhD graduates seeking industrial research experience, or for exceptional B.Sc. or M.Sc. graduates looking to deepen their research skills in an industry setting. We welcome applicants with backgrounds in one or more of the following areas: operating systems, distributed systems, and machine learning systems.

Key Responsibilities:

• Rapid Prototyping: Collaborate with a multidisciplinary team to quickly develop and test proof-of-concept prototypes, validating research ideas in real-world, industrial environments.
• Performance Optimization: Perform detailed profiling and optimization of operating systems and large-scale distributed systems, leveraging a range of heterogeneous hardware (e.g., CPU, NPU) for enhanced performance.
• Research Publications: Transform research findings and innovative contributions into high-impact publications in top-tier academic journals and conferences.
• Technical Documentation: Create and maintain comprehensive technical documentation outlining research methods, design decisions, and implementation specifics to ensure reproducibility and support internal knowledge sharing.
• Stakeholder Engagement: Communicate research progress, performance insights, and key outcomes to internal stakeholders through clear and engaging presentations.

Required:

• Bachelor's or Master's degree in Computer Science or a related technical field.
• Be comfortable with research methodology.
• Have an in-depth understanding of operating systems and/or distributed systems and/or cloud computing and/or machine learning algorithms.
• Good programming skills, master of at least one language, such as C/C++.
• Good communication and teamwork skills.

Desired:

• PhD in operating systems, distributed systems, machine learning, or a related field.
• Published papers in top journals/conferences focused on systems (NSDI, EuroSys, SoCC, OSDI etc.) and/or machine learning (NeurIPS, ICML, ICLR).
• Experience in the full lifecycle of developing, deploying, and maintaining large-scale cloud production systems, demonstrating expertise in scalability, reliability, and performance optimization.

• PhD in Genomics, Molecular Biology, Genetics, or a related life science discipline.
• Minimum of 5 years of post-doctoral research experience or equivalent industry experience.
• Extensive hands-on experience with Next-Generation Sequencing (NGS) technologies and associated workflows.
• Proficiency in bioinformatics tools and software for genomic data analysis (e.g., R, Python, Bioconductor).
• Strong understanding of molecular biology techniques and genetic principles.
• Proven ability to design, execute, and interpret complex scientific experiments.
• Excellent analytical and problem-solving skills.
• Strong publication record in reputable peer-reviewed journals.
• Excellent written and verbal communication skills for scientific reporting and presentations.
• Ability to work independently and as a collaborative member of a remote research team.

• Lead independent research projects focused on the discovery and development of biologic drugs (e.g., antibodies, proteins, vaccines).
• Design, optimize, and perform complex in vitro and in vivo experiments.
• Analyze and interpret large datasets, employing advanced statistical methods.
• Develop and implement novel assays and technologies for biological research.
• Author high-impact publications in peer-reviewed journals and present findings at international conferences.
• Mentor and guide junior research scientists and postdoctoral fellows.
• Collaborate effectively with cross-functional teams, including medicinal chemistry, pharmacology, and clinical development.
• Contribute to intellectual property generation and patent applications.
• Ensure adherence to all laboratory safety regulations and ethical guidelines.
• Manage research budgets and resources effectively.
• Stay abreast of the latest scientific advancements and competitive landscape in biologics research.

• PhD in Molecular Biology, Immunology, Biochemistry, or a related life science discipline.
• Minimum of 8 years of post-doctoral research experience in the biopharmaceutical industry or equivalent academic setting, with a strong focus on biologics.
• Demonstrated track record of successfully leading research projects and delivering impactful scientific outcomes.
• Extensive hands-on experience with a wide range of molecular and cellular biology techniques relevant to biologics development.
• Proven expertise in assay development, validation, and characterization of biologic molecules.
• Excellent scientific writing and presentation skills.
• Strong leadership, mentorship, and team collaboration abilities.
• Proficiency in data analysis software (e.g., GraphPad Prism, R).
• Experience with bioinformatics tools is a plus.
• Strong understanding of drug discovery and development processes.

• Lead and direct scientific research projects in biotechnology.
• Design and execute complex experiments and develop novel research methodologies.
• Analyze and interpret sophisticated scientific data to derive meaningful conclusions.
• Contribute to the development of new products, processes, or therapeutic solutions.
• Author scientific manuscripts, patents, and research reports.
• Collaborate with a global network of scientists and research partners.
• Mentor and guide junior researchers, fostering scientific excellence.
• Stay abreast of the latest scientific advancements and emerging technologies.

• PhD in a relevant life science discipline (e.g., Biology, Biochemistry, Molecular Biology, Biotechnology).
• Minimum of 8 years of post-doctoral and industry research experience in biotechnology.
• Proven track record of scientific innovation and achievement, including publications and/or patents.
• Expertise in a specialized area of biotechnology (e.g., molecular biology, genetics, cell biology).
• Strong experience in experimental design, data analysis, and scientific writing.
• Demonstrated leadership skills and experience in managing research projects.
• Excellent communication, collaboration, and problem-solving abilities.
• Ability to work effectively and autonomously in a remote research environment.

• Design, conduct, and interpret complex scientific experiments and research projects within your area of expertise.
• Develop and refine experimental methodologies, ensuring scientific rigor and reproducibility.
• Analyze large and complex datasets using advanced statistical and computational techniques.
• Collaborate with cross-functional teams, including chemists, biologists, physicists, and engineers, to achieve research objectives.
• Prepare and present research findings through written reports, scientific publications, and oral presentations to internal and external stakeholders.
• Contribute to the strategic planning and direction of research programs.
• Maintain detailed and accurate laboratory notebooks and research records.
• Stay abreast of the latest scientific literature, technological advancements, and emerging trends in relevant fields.
• Mentor junior researchers and provide technical guidance and support.
• Ensure compliance with all laboratory safety protocols and ethical guidelines.
• Contribute to patent applications and intellectual property development.
• Assist in the procurement and management of laboratory equipment and supplies.
• Participate in collaborative research initiatives with external partners and academic institutions.

• Ph.D. in Chemistry, Biology, Physics, Materials Science, or a related scientific discipline.
• A minimum of 5 years of post-doctoral or industry research experience, with a strong track record of independent research.
• Proven experience in experimental design, execution, and data analysis.
• Demonstrated expertise in relevant scientific techniques and instrumentation.
• Strong publication record in peer-reviewed scientific journals.
• Excellent analytical, critical thinking, and problem-solving skills.
• Proficiency in data analysis software and statistical packages (e.g., R, Python, SPSS).
• Exceptional written and verbal communication skills, with the ability to clearly articulate complex scientific concepts.
• Experience working in a hybrid or collaborative team environment, with effective remote communication skills.
• Ability to manage multiple research projects concurrently and meet deadlines.
• A proactive, curious, and self-motivated individual with a passion for scientific innovation.
• Familiarity with intellectual property processes and patent applications is a plus.
• Experience in (Specific Area relevant to R&D, e.g., gene editing, nanoparticle synthesis, quantum computing) is highly desirable.