1,872 University Research jobs in the United Kingdom
Senior Scientific Research Associate - Biotechnology
Posted 6 days ago
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Responsibilities:
- Design, perform, and optimize complex experiments in molecular biology and biochemistry.
- Develop and validate new assays and experimental protocols.
- Analyze experimental data using appropriate statistical methods and software.
- Troubleshoot experimental issues and identify solutions.
- Accurately record and meticulously document all experimental procedures and results in electronic lab notebooks.
- Collaborate with project teams, present findings, and contribute to research strategy discussions.
- Maintain laboratory equipment and ensure compliance with safety regulations.
- Stay updated on relevant scientific literature and emerging technologies.
- Contribute to manuscript preparation and patent applications as needed.
- MSc or PhD in Molecular Biology, Biochemistry, Biotechnology, or a related life science discipline.
- Minimum of 5 years of post-graduate research experience in an industrial or academic R&D setting.
- Proven expertise in cell-based assays, molecular cloning, protein expression and purification, or similar relevant techniques.
- Strong understanding of drug discovery and development processes.
- Proficiency in data analysis software (e.g., GraphPad Prism, R).
- Excellent laboratory technique, attention to detail, and record-keeping skills.
- Strong written and verbal communication abilities.
- Ability to work independently and as part of a collaborative team.
- Experience with high-throughput screening (HTS) is a plus.
Remote Scientific Research Lead - Bioinformatics
Posted 6 days ago
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Key responsibilities include overseeing data analysis workflows, interpreting results, and translating complex biological findings into clear, actionable insights. The Research Lead will manage computational resources, ensure data integrity, and implement rigorous quality control measures. A significant part of the role involves collaborating with a geographically dispersed team of biologists, clinicians, and data scientists through virtual communication channels. You will also be responsible for staying abreast of the latest advancements in bioinformatics, computational biology, and relevant 'omics' technologies, and actively contributing to scientific publications and conference presentations. The ability to mentor junior researchers and provide technical guidance in a remote setting is essential. This role offers the unique advantage of a fully remote work environment, empowering you to work from anywhere while contributing to world-class scientific endeavors. The position requires a self-disciplined individual with exceptional project management skills and a proven ability to deliver high-impact research outcomes independently.
Key Responsibilities:
- Lead the design and execution of complex bioinformatics research projects.
- Develop and implement advanced computational methods and pipelines for 'omics' data analysis.
- Analyze large-scale genomic, transcriptomic, and proteomic datasets.
- Interpret biological findings and translate them into research insights.
- Ensure data quality, integrity, and robust statistical analysis.
- Collaborate effectively with remote scientific teams and stakeholders.
- Manage computational resources and optimize analysis workflows.
- Contribute to scientific publications, grant proposals, and presentations.
- Mentor and guide junior bioinformatics researchers.
- Stay current with cutting-edge bioinformatics tools and techniques.
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
- Minimum of 8 years of post-doctoral research experience in bioinformatics.
- Extensive experience with various 'omics' data types and analysis pipelines.
- Proficiency in programming languages such as Python and R, and strong command-line skills.
- Expertise in statistical analysis and machine learning methods relevant to biological data.
- Demonstrated track record of high-impact scientific publications.
- Proven ability to lead research projects and work independently in a remote setting.
- Excellent communication, collaboration, and problem-solving skills.
Research Scientist
Posted 3 days ago
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32523
**Research Scientist**
Regular
Wrexham, United Kingdom of Great Britain and Northern Ireland ( Kingdom of Great Britain and Northern Ireland) My candidate profile
Syensqo is all about chemistry. We're not just referring to chemical reactions here, but also to the magic that occurs when the brightest minds get to work together. This is where our true strength lies. In you. In your future colleagues and in all your differences. And of course, in your ideas to improve lives while preserving our planet's beauty for the generations to come.
**We are looking for:**
A research scientist to join our Adhesives Research & Innovation team in Wrexham, UK. You will lead R&D projects focused on developing advanced adhesive bonding and surfacing technologies to drive future business growth.
**We count on you for:**
+ Lead the development of new adhesive products and technologies, especially in thermosetting polymers
+ Manage multiple R&I projects and ensure timely progress and reporting
+ Conduct scientific research, experiments, and literature reviews aligned with business needs
+ Build structure/property relationships and apply them to product innovation
+ Collaborate with cross-functional teams (engineering, marketing, sales, production)
+ Support scale-up and production transfer of new products
+ Present results to internal and external stakeholders, including customers
+ Secure intellectual property and stay informed on industry trends and IP landscape
**You will bring:**
+ Ph.D. in chemistry, polymer science, materials science, or a related field
+ Strong knowledge of organic chemistry, structure-property relationships, and material characterization techniques
+ Familiarity with surface science, resin handling, and testing procedures
+ Experience in adhesive formulation (pastes/films) for thermosetting systems is a plus
+ Interest in topics such as scale-up, lean principles, or Six Sigma; prior exposure is a plus but not required
**You will get:**
+ Competitive salary and benefits package. Since actual compensation packages are based on a variety of factors unique to each candidate we may ultimately pay more or less than the posted base salary range. Total compensation for this role also includes bonus and/or other incentives.
+ 16, or more, weeks of maternity/paternity and co-parenting leave, according to local regulations
+ Training platform for all employees
+ Free language courses (24 languages available)
+ Free well-being sessions (physical and psychological)
About us
+ Syensqo is a science company developing groundbreaking solutions that enhance the way we live, work, travel and play. Inspired by the scientific councils which Ernest Solvay initiated in 1911, we bring great minds together to push the limits of science and innovation for the benefit of our customers, with a diverse, global team of more than 13,000 associates. Our solutions contribute to safer, cleaner, and more sustainable products found in homes, food and consumer goods, planes, cars, batteries, smart devices and health care applications. Our innovation power enables us to deliver on the ambition of a circular economy and explore breakthrough technologies that advance humanity.
+ At Syensqo, we seek to promote unity and not uniformity. We value the diversity that individuals bring and we invite you to consider a future with us, regardless of background, age, gender, national origin, ethnicity, religion, sexual orientation, ability or identity. We encourage individuals who may require any assistance or accommodations to let us know to ensure a seamless application experience. We are here to support you throughout the application journey and want to ensure all candidates are treated equally. If you are unsure whether you meet all the criteria or qualifications listed in the job description, we still encourage you to apply.
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Scientific Computing Apprentice (Research Software Engineering)
Posted today
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Scientific Computing Apprentice (Research Software Engineering) – The Institute of Cancer ResearchnJoin to apply for the
Scientific Computing Apprentice (Research Software Engineering)
role at
The Institute of Cancer Research .nSalary: £25,275nDuration of Contract: Fixed Term for 24 monthsnHours per week: Full Time (28 hours per week with 7 hours dedicated to learning/studying time, Monday to Friday)nLocation: Sutton/Chelsea. This role is eligible for hybrid working.nClosing Date: 14th September 2025nThis Master’s degree level apprenticeship will see you developing, maintaining, and optimising the software and computational tools that support and advance scientific research. The role is ideal for a proactive and motivated individual with a passion for scientific computing and an interest in research software engineering, wishing to work and learn in a diverse research community. This opportunity provides a great way to build your career.nResponsibilities
Develop, maintain, and optimise software and computational tools used in scientific research.nWork within the Digital Services Directorate alongside researchers to support HPC, data storage, data management, and research software engineering needs.nEngage with a structured Master’s curriculum while gaining hands-on, real-world training.nQualifications and Requirements
Apprenticeship at Master’s degree level (Master’s degree funded as part of the program).nInterest in scientific computing and research software engineering.nProactive, motivated, and able to work in a diverse research community.nBenefits
Fully-Funded Master’s Degree: We’ll cover 100% of your master’s degree, allowing you to earn a postgraduate qualification without the financial burden.nReal-World Impact: Work at the forefront of cancer research, directly supporting scientists and clinicians.nComprehensive Training: Structured Master’s curriculum combined with hands-on, real-world training.nAbout The Institute Of Cancer Research
The Digital Services Directorate provides technology access and IT support to the ICR’s research community. Scientific Computing is a unit within Digital Services offering HPC, Research Data Storage (RDS), Research Data Management (RDM), and Research Software Engineering (RSE).nFor more information, please access the attached job pack and associated MSc Applied Data Science (Degree Apprenticeship) details. For informal discussion, contact Rachel Alcraft at or via email.nEqual Opportunity
We champion diversity and are committed to equal opportunity for all applicants regardless of ethnicity, gender, age, sexual orientation, disability, or any other dimension of diversity. The Institute encourages overseas applicants where applicable.
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AI Research Scientist
Posted today
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Biokinetics Research Scientist
Posted today
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Biokinetics Research Scientist
Posted 2 days ago
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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.
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AI Research Scientist
Posted 2 days ago
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Are you an AI Research Scientist passionate about using LLMs and machine learning to reshape how organisations understand people?
We’re looking for a curious and pragmatic AI Research Scientist to join a remote team building the next generation of AI-powered insight tools. You’ll be working on a real-world research platform already in production — now expanding into new territory with retrieval-augmented generation (RAG), vector search, and intelligent automation.
In this role, you’ll help reimagine how unstructured and structured data from large-scale surveys and discussions can be turned into clear, actionable insight using advanced AI. From redesigning RAG stacks to building AI-powered report writers and secure vector stores, you’ll be solving rich, challenging problems at the intersection of NLP, data infrastructure, and human understanding.
Whether you’ve shipped AI features before or have strong personal research and projects, this is a chance to shape products used by real researchers and clients every day.
What’s in it for you?
Human-Centred AI : Build tools that help researchers analyse real human thoughts, opinions, and behaviours — at scale.
Research Scientist - Biotechnology
Posted today
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Job Description
Key Responsibilities:
- Design and execute experiments in molecular biology, cell biology, and protein engineering.
- Develop and optimize novel assays and protocols for biological research.
- Perform detailed analysis of experimental data using statistical software and bioinformatics tools.
- Interpret results and contribute to the formulation of new research hypotheses and project directions.
- Maintain accurate and comprehensive laboratory notebooks and research records.
- Collaborate effectively with cross-functional research teams, including biologists, chemists, and engineers.
- Present research findings at internal meetings and potentially at external scientific conferences.
- Contribute to the writing of research papers, grant proposals, and technical reports.
- Ensure all laboratory activities comply with safety regulations and ethical guidelines.
- Manage and maintain laboratory equipment and consumables.
- Ph.D. in Biotechnology, Molecular Biology, Biochemistry, or a closely related field.
- Minimum of 3-5 years of post-doctoral or industrial research experience in biotechnology.
- Extensive hands-on experience with techniques such as PCR, qPCR, Western blotting, ELISA, cell culture (mammalian and microbial), and protein purification.
- Proficiency in data analysis software (e.g., R, Python, GraphPad Prism) and familiarity with bioinformatics tools.
- Strong understanding of scientific principles and methodologies relevant to biotechnology.
- Excellent written and verbal communication skills, with the ability to articulate complex scientific concepts.
- Proven ability to work independently and as part of a collaborative team.
- Experience with gene editing techniques (e.g., CRISPR) is a strong asset.
- Familiarity with hybrid work models, balancing lab and remote responsibilities.
- A proactive and inquisitive mindset, with a passion for scientific innovation.
AI Research Scientist
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