5,650 Senior Research Scientist jobs in the United Kingdom

• Design and conduct complex experiments to investigate biological pathways, identify potential drug targets, and develop novel therapeutic compounds.
• Execute a variety of laboratory techniques, including cell culture, molecular biology assays, protein biochemistry, and high-throughput screening.
• Analyse experimental data, interpret results, and draw scientifically sound conclusions.
• Prepare detailed reports, present findings at internal meetings and external scientific conferences, and contribute to publications.
• Collaborate effectively with interdisciplinary teams, including medicinal chemists, pharmacologists, and clinicians, to advance drug discovery projects.
• Develop and validate new experimental assays and methodologies.
• Maintain accurate and comprehensive laboratory records, ensuring compliance with Good Laboratory Practice (GLP) standards.
• Manage laboratory resources, including ordering supplies and maintaining equipment.
• Stay abreast of the latest scientific literature, research trends, and technological advancements in the relevant therapeutic areas.
• Contribute to intellectual property generation through patent applications.
• Mentor and guide junior scientists and research assistants.
• Troubleshoot experimental issues and devise creative solutions to overcome scientific challenges.
• Ensure a safe working environment by adhering to all laboratory safety protocols.

• PhD in Molecular Biology, Biochemistry, Pharmacology, or a closely related life science discipline.
• Minimum of 3-5 years of post-doctoral or industry research experience in drug discovery or pharmaceutical R&D.
• Proven track record of designing and executing complex experiments and generating high-quality data.
• Expertise in at least one of the following areas: oncology, immunology, neuroscience, or infectious diseases.
• Hands-on experience with key laboratory techniques such as qPCR, Western blotting, ELISA, flow cytometry, and recombinant protein expression/purification.
• Proficiency in data analysis software (e.g., GraphPad Prism, R) and scientific literature databases.
• Excellent written and verbal communication skills, with the ability to present complex scientific information clearly.
• Strong problem-solving abilities and a critical thinking mindset.
• Ability to work independently and collaboratively within a fast-paced research environment.
• Strong organisational skills and meticulous attention to detail.
• Experience with CRISPR/Cas9 gene editing or small molecule drug discovery is highly desirable.

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 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.

• Leading independent research projects from conception to completion.
• Designing and optimising experimental methodologies and protocols.
• Performing complex laboratory experiments and accurately recording data.
• Analysing and interpreting experimental results using appropriate statistical and computational tools.
• Developing new assays and research techniques.
• Troubleshooting experimental issues and proposing innovative solutions.
• Preparing comprehensive research reports, manuscripts for publication, and patent applications.
• Presenting research findings at scientific conferences and internal meetings.
• Mentoring and guiding junior scientists and research assistants.
• Collaborating with internal and external research partners.
• Staying abreast of the latest scientific literature and technological advancements.

• Lead and execute complex research projects focused on identifying and validating new drug targets and therapeutic strategies.
• Design and conduct experiments using advanced molecular biology, cell biology, and biochemical techniques.
• Develop and implement novel assays for drug screening and characterization.
• Analyse and interpret complex experimental data, drawing meaningful conclusions and making strategic recommendations.
• Author high-quality research reports, publications, and patent applications.
• Stay abreast of the latest scientific literature and technological advancements in relevant therapeutic areas.
• Collaborate effectively with cross-functional teams, including medicinal chemistry, pharmacology, and DMPK.
• Mentor and guide junior research scientists, fostering a collaborative and innovative research environment.
• Manage external research collaborations and partnerships.
• Ensure adherence to all laboratory safety protocols and regulatory guidelines.

• Ph.D. in Molecular Biology, Biochemistry, Pharmacology, or a closely related field.
• Minimum of 8 years of post-doctoral and/or industry research experience in drug discovery and development.
• Proven track record of successfully leading research projects and delivering scientific results, evidenced by publications and/or patents.
• Extensive hands-on experience with a broad range of molecular and cellular biology techniques.
• Expertise in a specific therapeutic area (e.g., oncology, immunology, neuroscience) is highly desirable.
• Strong understanding of drug development processes from discovery to pre-clinical stages.
• Excellent data analysis, critical thinking, and problem-solving skills.
• Exceptional written and verbal communication skills.
• Demonstrated ability to mentor and manage scientific staff.

• Design, execute, and interpret complex experiments in areas such as medicinal chemistry, pharmacology, or molecular biology.
• Develop and validate new analytical methods and experimental protocols.
• Analyse and synthesise research data, drawing insightful conclusions and formulating hypotheses.
• Contribute to the identification and characterisation of new drug candidates.
• Prepare detailed scientific reports, manuscripts for publication, and presentations for internal and external audiences.
• Collaborate effectively with cross-functional teams, including chemists, biologists, toxicologists, and clinical scientists.
• Maintain laboratory equipment and ensure compliance with all safety and regulatory guidelines (e.g., GLP, GMP).
• Troubleshoot experimental issues and propose innovative solutions.
• Mentor and guide junior research staff, fostering a collaborative and productive laboratory environment.
• Stay current with scientific literature, emerging technologies, and industry trends relevant to pharmaceutical research.

• PhD in Chemistry, Pharmacology, Biology, or a closely related scientific discipline.
• Minimum of 5 years of post-doctoral or industry experience in pharmaceutical research and development.
• Demonstrated expertise in a specific area of drug discovery or development (e.g., small molecule synthesis, target validation, assay development, PK/PD studies).
• Proven track record of independent research, including publications in peer-reviewed journals.
• Strong experimental design, data analysis, and critical thinking skills.
• Proficiency with relevant laboratory techniques and instrumentation.
• Excellent written and verbal communication skills, with the ability to present complex scientific information clearly.
• Experience working in a regulated laboratory environment is essential.
• Ability to work collaboratively in a team-oriented setting.
• Strong organisational skills and attention to detail.

• Design, conduct, and interpret experiments for drug discovery and development.
• Develop and validate novel biological assays for target identification and lead optimization.
• Analyze and present complex scientific data to internal teams and external collaborators.
• Contribute to the design and execution of preclinical studies.
• Collaborate effectively with cross-functional teams in a remote environment.
• Stay abreast of the latest scientific literature and technological advancements in the field.
• Write and contribute to scientific publications and regulatory documents.
• Manage project timelines and resources effectively.
• Mentor junior scientists and contribute to a positive research culture.
• Identify and evaluate new research opportunities and technologies.

• PhD in Molecular Biology, Biochemistry, Pharmacology, or a related field.
• Minimum of 5 years of post-doctoral or industry research experience in drug discovery.
• Proven expertise in assay development and validation (e.g., HTS, biochemical, cell-based assays).
• Strong understanding of molecular and cellular biology.
• Experience with data analysis software (e.g., GraphPad Prism, R).
• Excellent written and verbal communication skills for scientific reporting.
• Demonstrated ability to work independently and collaboratively in a remote setting.
• Experience with in vivo pharmacology or PK/PD studies is a plus.
• Track record of publications in peer-reviewed journals.
• Ability to manage multiple projects and prioritize tasks effectively.