7 Research Centre jobs in the United Kingdom
Principal Scientific Research Scientist
Posted 1 day ago
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As a Principal Scientific Research Scientist, you will be at the forefront of discovering and developing new scientific breakthroughs. Your responsibilities will include designing and executing complex research experiments, analysing and interpreting data, developing new methodologies, and contributing to the publication of findings. You will lead research teams, mentor junior scientists, and collaborate with external partners and stakeholders to advance scientific knowledge and translate research into practical applications.
Key Responsibilities:
- Lead and manage independent research projects from conception to completion.
- Design, conduct, and optimise advanced scientific experiments and protocols.
- Develop novel techniques and methodologies to address complex scientific questions.
- Analyse and interpret complex datasets, drawing meaningful conclusions and identifying trends.
- Write and present research findings in high-impact scientific publications and at international conferences.
- Lead and mentor a team of research scientists and technicians.
- Collaborate with internal and external stakeholders, including industry partners and academic institutions.
- Secure research funding through grant writing and proposal development.
- Ensure all research activities adhere to ethical guidelines, safety protocols, and regulatory standards.
- Stay abreast of the latest scientific advancements and emerging technologies in the relevant field.
Operations Manager - Scientific Research
Posted 6 days ago
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Senior Scientific Research Associate - Biotechnology
Posted 1 day ago
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Senior Scientific Research Scientist - Genomics
Posted 1 day ago
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Job Description
Key Responsibilities:
- Design and execute research projects in genomics and molecular biology.
- Perform next-generation sequencing (NGS) library preparation and data analysis.
- Develop and validate new genomic assays and experimental protocols.
- Utilize bioinformatics tools and pipelines for genomic data interpretation.
- Analyse and interpret large-scale omics datasets.
- Collaborate with cross-functional teams on research initiatives.
- Contribute to scientific publications, presentations, and grant applications.
- Mentor junior research scientists and technicians.
- Stay abreast of the latest advancements in genomics and biotechnology.
- Ph.D. in Genomics, Molecular Biology, Bioinformatics, or a related field.
- Minimum of 5 years of post-doctoral research experience in genomics.
- Extensive experience with next-generation sequencing (NGS) technologies.
- Proficiency in bioinformatics tools and programming languages (e.g., R, Python, command-line).
- Strong understanding of molecular biology techniques and experimental design.
- Excellent analytical and problem-solving skills.
- Proven ability to publish research findings in peer-reviewed journals.
- Strong written and verbal communication skills.
- Ability to work independently and collaboratively in a remote research setting.
Senior Scientific Research Scientist (Remote)
Posted 1 day ago
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Job Description
Senior Scientific Research Scientist - Biotechnology
Posted 1 day ago
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Job Description
Key Responsibilities:
- Design and execute complex experiments in molecular biology, cell biology, and/or genetic engineering.
- Develop and validate novel assays and protocols for biological research.
- Analyze and interpret large datasets using bioinformatics tools and statistical methods.
- Collaborate with a multidisciplinary team of scientists, engineers, and clinicians to achieve project goals.
- Contribute to the writing of research proposals, grant applications, and scientific publications.
- Mentor junior researchers and laboratory technicians, providing technical guidance and support.
- Ensure compliance with all laboratory safety regulations and institutional policies.
- Manage laboratory resources, including equipment and supplies.
- Stay updated on the latest scientific literature and technological advancements in biotechnology.
- Present research findings at internal meetings and external scientific conferences.
- Contribute to the development of intellectual property through patents and publications.
- Participate in cross-functional project teams to translate research findings into potential therapeutic or diagnostic applications.
Qualifications:
- A PhD in Biotechnology, Molecular Biology, Biochemistry, Genetics, or a related field.
- A minimum of 5 years of post-doctoral or relevant industry research experience.
- Proven expertise in key areas of biotechnology, such as gene editing, protein expression, or cell culture.
- Strong analytical and problem-solving skills, with a meticulous approach to research.
- Excellent written and verbal communication skills, with experience in scientific writing and presentation.
- Demonstrated ability to work both independently and collaboratively within a team.
- Experience with bioinformatics tools and statistical analysis software is highly desirable.
- Proficiency in relevant laboratory techniques and instrumentation.
- A strong commitment to scientific rigor and ethical research practices.
Senior Data Scientist (Scientific Research)
Posted 1 day ago
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Job Description
As a Senior Data Scientist, your responsibilities will include developing and implementing sophisticated predictive models, statistical analyses, and machine learning algorithms to extract meaningful information from scientific data. You will collaborate closely with research scientists, engineers, and domain experts to understand their data needs, design analytical approaches, and interpret results. Key duties involve data cleaning, feature engineering, model validation, and the deployment of analytical solutions. You will also play a crucial role in identifying new data sources, methodologies, and technologies that can enhance research capabilities. Communication of complex findings through reports, presentations, and visualisations to both technical and non-technical audiences will be a core part of your work.
The ideal candidate will possess a Master's or PhD in a quantitative field such as Data Science, Computer Science, Statistics, Physics, or a related scientific discipline, along with significant industry experience. Demonstrable expertise in programming languages like Python or R, proficiency with SQL and NoSQL databases, and hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) are essential. A strong understanding of statistical modelling, experimental design, and data visualisation techniques is required. You should have a proven ability to translate complex scientific problems into data science solutions and a track record of delivering impactful results. Excellent problem-solving skills, a proactive approach, and the ability to work effectively in a remote, collaborative environment are paramount.
Key Responsibilities:
- Design, develop, and deploy advanced statistical models and machine learning algorithms.
- Analyze large and complex scientific datasets to uncover insights and trends.
- Collaborate with research teams to define data science project objectives and methodologies.
- Perform data cleaning, transformation, and feature engineering for scientific data.
- Validate model performance and ensure the reliability of analytical outputs.
- Communicate findings and recommendations clearly through reports and presentations.
- Develop data visualisations to illustrate complex scientific concepts.
- Stay current with the latest advancements in data science and machine learning relevant to scientific research.
- Contribute to the development of data infrastructure and best practices.
- Mentor junior data scientists and provide technical guidance.
Qualifications:
- Master's or PhD in Data Science, Statistics, Computer Science, Physics, or a related quantitative field.
- Minimum of 5 years of experience in data science, with a focus on scientific research applications.
- Expertise in Python or R, including relevant data science libraries (e.g., pandas, NumPy, scikit-learn).
- Proficiency with SQL and experience with various database technologies.
- Strong knowledge of machine learning techniques, statistical modelling, and experimental design.
- Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP).
- Excellent problem-solving, critical thinking, and analytical skills.
- Strong communication and interpersonal skills for effective collaboration in a remote setting.
This is a fully remote position, offering the flexibility to work from your location near Liverpool, Merseyside, UK or anywhere else in the UK.
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