292 Research jobs in Cambridgeshire
Pharmaceutical Research Scientist
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Key Responsibilities:
- Design, conduct, and optimise in vitro and in vivo experiments to evaluate drug candidates.
- Analyse and interpret experimental data, employing statistical methods and relevant software.
- Contribute to the development of new assays and research methodologies.
- Collaborate closely with cross-functional teams, including medicinal chemists, pharmacologists, and toxicologists.
- Prepare detailed scientific reports, presentations, and publications.
- Maintain accurate and comprehensive laboratory notebooks and records.
- Ensure compliance with all relevant safety regulations and laboratory protocols.
- Stay abreast of the latest scientific literature and technological advancements in the field.
- Assist in the troubleshooting of experimental procedures and equipment.
- Present research findings at internal meetings and external scientific conferences.
- Contribute to intellectual property generation and patent filings.
- Mentor junior research staff and provide technical guidance.
Qualifications:
- Ph.D. or Master's degree in Pharmacology, Biochemistry, Molecular Biology, or a related life science discipline.
- Proven experience in pharmaceutical research and drug discovery.
- Hands-on experience with relevant laboratory techniques (e.g., cell culture, PCR, ELISA, chromatography).
- Strong understanding of drug development processes and regulatory requirements.
- Proficiency in data analysis software (e.g., GraphPad Prism, R, SPSS).
- Excellent written and verbal communication skills, with a strong publication record or potential.
- Ability to work independently and collaboratively in a team-oriented environment.
- Strong problem-solving skills and a meticulous attention to detail.
- Experience in a specific therapeutic area (e.g., oncology, immunology) is a plus.
- Familiarity with biostatistics and experimental design principles.
Horticultural Research Scientist
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Key Responsibilities:
- Design, implement, and manage horticultural research experiments, including field trials and controlled environment studies.
- Collect and meticulously record data on plant growth, yield, quality, and response to various treatments.
- Perform laboratory analyses related to soil, plant tissue, and environmental conditions.
- Utilize statistical software to analyze experimental data and interpret results.
- Prepare detailed research reports, scientific publications, and presentations for conferences.
- Collaborate with senior scientists, technicians, and external partners on research projects.
- Maintain research facilities, equipment, and experimental plots in optimal condition.
- Stay current with scientific literature and advancements in horticulture and plant science.
- Assist in the supervision and training of junior research staff and interns.
- Contribute to grant writing and the acquisition of research funding.
- Ensure compliance with all safety regulations and ethical guidelines in research activities.
- A Master's or PhD degree in Horticulture, Plant Science, Agriculture, Botany, or a closely related discipline.
- Demonstrated experience in conducting scientific research, preferably within a horticultural context.
- Proficiency in experimental design and statistical analysis using software such as R, SAS, or SPSS.
- Strong knowledge of plant physiology, genetics, soil science, and crop production.
- Excellent laboratory and field data collection skills.
- Ability to work independently and as part of a collaborative research team.
- Strong written and verbal communication skills.
- Experience with greenhouse or growth chamber management is advantageous.
- Familiarity with scientific databases and literature review techniques.
- Must be willing to work full-time from our research facilities located in Cambridge, Cambridgeshire, UK .
Lead AI Research Scientist
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Responsibilities:
- Lead and conduct cutting-edge research in AI, machine learning, and related emerging technologies.
- Develop and implement novel algorithms and models for complex problems.
- Design and manage AI research projects from conception to prototype.
- Collaborate with cross-functional teams to translate research findings into practical applications.
- Stay abreast of the latest advancements in AI and identify opportunities for innovation.
- Publish research findings in top-tier academic conferences and journals.
- Mentor and guide junior researchers and engineers, fostering a culture of scientific inquiry.
- Evaluate and benchmark AI models and systems.
- Contribute to the strategic direction of AI research within the organization.
- Present research outcomes to technical and non-technical audiences.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of relevant research experience in AI/ML, with a proven track record of innovation and publication.
- Deep expertise in areas such as deep learning, natural language processing, computer vision, or reinforcement learning.
- Proficiency in programming languages such as Python and experience with ML frameworks (e.g., TensorFlow, PyTorch).
- Strong theoretical understanding and practical experience in algorithm development and data analysis.
- Excellent analytical, problem-solving, and critical thinking skills.
- Demonstrated leadership abilities and experience managing research projects.
- Outstanding communication and presentation skills, with the ability to articulate complex ideas effectively.
- Ability to work independently and collaboratively in a remote research environment.
- Experience with large-scale data processing and distributed computing is a plus.
Lead AI Research Scientist
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You will be responsible for formulating research hypotheses, designing and executing experiments, and analyzing complex datasets to uncover new insights. This position requires a PhD in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field, coupled with several years of post-doctoral or industry research experience. The Lead AI Research Scientist will mentor a team of talented researchers, guide their technical development, and foster a collaborative and innovative research environment. Expertise in areas such as deep learning, natural language processing, computer vision, reinforcement learning, or generative models is essential.
Key responsibilities include:
- Leading and executing cutting-edge AI research projects from conception to completion.
- Developing novel algorithms and models to solve complex problems in AI.
- Publishing research findings in top-tier scientific journals and conferences.
- Mentoring and supervising junior research scientists and engineers.
- Collaborating with product teams to explore the commercialization of research breakthroughs.
- Staying at the forefront of AI and machine learning advancements through continuous learning and exploration.
- Securing research grants and funding opportunities.
- Contributing to the intellectual property portfolio of the company.
- Presenting research outcomes to internal and external stakeholders.
The successful candidate will demonstrate exceptional analytical and problem-solving skills, strong programming abilities (Python preferred), and familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch). Excellent communication and teamwork skills are crucial for this role, as you will interact with a diverse group of researchers and stakeholders. This fully remote position allows top-tier talent from anywhere to contribute to groundbreaking AI research.
Principal AI Research Scientist
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Key Responsibilities:
- Lead research initiatives in areas such as machine learning, deep learning, natural language processing, computer vision, and reinforcement learning.
- Design, develop, and implement novel AI algorithms and models.
- Conduct rigorous experimentation, evaluation, and validation of AI systems.
- Collaborate with cross-functional teams of engineers, product managers, and other researchers to translate research findings into practical applications.
- Publish research findings in top-tier academic conferences and journals.
- Mentor junior researchers and engineers, fostering a culture of innovation and knowledge sharing.
- Stay abreast of the latest advancements in AI research and identify opportunities for new development.
- Contribute to the strategic direction of the company's AI research roadmap.
- Develop prototypes and proof-of-concepts for advanced AI applications.
- Contribute to the development of intellectual property and patent filings.
- PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of hands-on research experience in AI/ML, with a strong publication record.
- Expertise in one or more core AI domains (e.g., NLP, CV, RL, generative models).
- Proficiency in programming languages such as Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Strong mathematical and statistical foundation.
- Proven ability to lead research projects and guide teams.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to articulate complex ideas clearly.
- Experience with large-scale data processing and distributed computing environments is a plus.
Graduate AI Research Scientist
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Key Responsibilities:
- Assist senior researchers in conducting cutting-edge AI research.
- Implement, test, and evaluate machine learning models and algorithms.
- Analyse large datasets to extract meaningful insights.
- Contribute to the development of new AI techniques and applications.
- Prepare technical documentation, progress reports, and research presentations.
- Collaborate with team members on research challenges and problem-solving.
- Stay updated on the latest advancements in the field of artificial intelligence.
- Participate in team meetings and discussions.
- Support data collection and pre-processing activities.
- Assist in the preparation of research papers for publication.
Qualifications:
- Currently pursuing or recently completed a Master's or PhD in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field.
- Strong theoretical foundation in machine learning, deep learning, or related AI domains.
- Proficiency in Python programming.
- Experience with AI/ML frameworks such as TensorFlow, PyTorch, or Keras.
- Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Excellent analytical and problem-solving skills.
- Strong academic record and a demonstrable passion for AI research.
- Effective written and verbal communication skills.
- Ability to work independently and proactively in a remote environment.
- Eagerness to learn and contribute to a research team.
Senior Pharmaceutical Research Scientist
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Principal Pharmaceutical Research Scientist
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Key Responsibilities:
- Lead and execute complex research projects in drug discovery and development.
- Design and implement innovative experimental strategies to identify and validate novel drug targets.
- Conduct rigorous in-vitro and in-vivo studies to evaluate compound efficacy and safety.
- Analyze and interpret experimental data, drawing robust conclusions and recommendations.
- Collaborate effectively with cross-functional teams, including chemistry, biology, and pharmacology.
- Prepare comprehensive research reports, publications, and presentations for internal and external audiences.
- Stay current with scientific literature and emerging trends in pharmaceutical research.
- Mentor and guide junior research scientists, fostering a culture of scientific excellence.
- Contribute to the strategic planning and prioritization of the research pipeline.
- Ensure adherence to all relevant laboratory safety protocols and regulatory guidelines.
- PhD in Pharmacology, Biochemistry, Molecular Biology, or a closely related field.
- Extensive experience (minimum 8-10 years) in pharmaceutical research and drug discovery.
- Demonstrated success in leading research projects and delivering key scientific milestones.
- Strong understanding of disease biology, target identification, and validation methodologies.
- Proficiency in a range of experimental techniques relevant to drug discovery (e.g., cell culture, immunoassays, PK/PD studies).
- Experience with data analysis software and statistical methods.
- Excellent scientific writing and oral presentation skills.
- Proven ability to work independently and collaboratively in a remote setting.
- Strong problem-solving and critical thinking abilities.
- Published research in reputable scientific journals is highly desirable.
Principal Research Scientist - Genomics
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Responsibilities:
- Lead and manage research projects in genomics, bioinformatics, and related fields, from conception to completion.
- Design, execute, and interpret complex experiments utilizing cutting-edge genomic technologies (e.g., next-generation sequencing, single-cell genomics).
- Develop and optimize bioinformatics pipelines for the analysis of large-scale genomic datasets.
- Mentor and guide junior scientists and research associates, fostering a collaborative and scientifically rigorous research environment.
- Collaborate with internal teams and external academic and industrial partners to advance research goals and explore new avenues of discovery.
- Contribute to the development of research strategies, grant proposals, and funding applications.
- Present research findings at international conferences and publish in high-impact peer-reviewed journals.
- Ensure compliance with all relevant safety, ethical, and regulatory guidelines.
- Stay abreast of the latest advancements in genomics, molecular biology, and bioinformatics.
- Contribute to the intellectual property strategy of the organization.
- Ph.D. in Genetics, Molecular Biology, Bioinformatics, or a closely related field.
- Minimum of 8-10 years of post-doctoral research experience in an academic or industry setting, with a significant focus on genomics.
- Demonstrated expertise in experimental design, execution, and data interpretation for genomic studies.
- Proficiency in bioinformatics tools and programming languages (e.g., Python, R) for genomic data analysis.
- Proven experience in leading research teams and managing complex scientific projects.
- Strong publication record in reputable scientific journals.
- Excellent understanding of human genetics, disease mechanisms, and drug discovery principles.
- Exceptional analytical, critical thinking, and problem-solving skills.
- Superb communication and presentation skills, with the ability to articulate complex scientific concepts to diverse audiences.
- Experience with grant writing and securing research funding is highly desirable.
- A passion for scientific discovery and a drive to translate research into tangible health outcomes are essential.
Senior Pharmaceutical Research Scientist
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