217 Research Scientist jobs in London
Agricultural Research Scientist
Posted 7 days ago
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Job Description
Key responsibilities include:
- Designing and executing field and laboratory experiments to investigate agricultural challenges and opportunities.
- Collecting, analyzing, and interpreting complex data sets using statistical software and methodologies.
- Developing and testing new crop varieties, fertilizers, and pest control strategies.
- Conducting research on soil health, water management, and sustainable farming techniques.
- Collaborating with a multidisciplinary team of scientists, agronomists, and technicians.
- Writing detailed research reports, scientific papers, and grant proposals.
- Presenting research findings at conferences and to stakeholders.
- Staying abreast of the latest advancements and innovations in agricultural science and technology.
- Ensuring adherence to all safety protocols and ethical guidelines in research activities.
- Contributing to the development of long-term research strategies and project planning.
We are looking for a candidate with a PhD or a Master's degree in Agronomy, Plant Science, Soil Science, or a closely related agricultural discipline. A minimum of 3-5 years of hands-on research experience in agriculture is required, with a proven publication record. Excellent analytical and critical thinking skills, coupled with proficiency in statistical analysis software (e.g., R, SAS), are essential. Strong written and verbal communication skills are necessary for report writing and presentation. The ability to work independently and as part of a team, managing multiple projects simultaneously, is crucial. Familiarity with agricultural technologies and a deep understanding of the challenges facing modern agriculture are highly desirable. This is an excellent opportunity to make a significant impact on the future of food production and sustainability.
AI Research Scientist
Posted 8 days ago
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Responsibilities include designing and implementing experiments, analyzing large datasets, developing and validating AI models, and publishing research findings in top-tier academic conferences and journals. You will collaborate with cross-functional teams of engineers, data scientists, and product managers to translate research breakthroughs into practical applications. A strong theoretical foundation in machine learning and statistics, coupled with practical experience in programming languages like Python and libraries such as TensorFlow, PyTorch, or scikit-learn, is essential. Experience with big data technologies and cloud computing platforms (AWS, Azure, GCP) is highly desirable.
We are looking for candidates with a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. Proven experience in AI research, demonstrated through publications, patents, or significant contributions to open-source projects, is a must. You should possess excellent analytical and problem-solving skills, a deep understanding of mathematical concepts, and the ability to communicate complex ideas clearly and effectively. If you are passionate about pushing the boundaries of AI and thrive in a research-intensive environment, this is the perfect opportunity for you to make a significant impact.
Clinical Research Scientist
Posted 10 days ago
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Job Description
Key responsibilities include analyzing complex data sets, interpreting results, and presenting findings to internal stakeholders and regulatory bodies. You will collaborate closely with cross-functional teams, including statisticians, medical writers, and regulatory affairs specialists, to ensure compliance with all relevant guidelines and regulations. This role demands a deep understanding of pharmaceutical research methodologies, statistical analysis, and regulatory requirements (e.g., GCP, ICH). A PhD or equivalent in a relevant life science discipline (e.g., pharmacology, biochemistry, molecular biology) is highly preferred, along with a proven track record of successfully managing clinical trials.
The ideal candidate will possess exceptional analytical skills, a meticulous attention to detail, and the ability to work independently with minimal supervision. Strong written and verbal communication skills are essential for documenting research, writing manuscripts for publication, and presenting scientific information clearly and concisely. You should be adept at managing multiple projects simultaneously and meeting tight deadlines. This is an exceptional opportunity to join a forward-thinking organization and make a significant impact on global health, working on cutting-edge therapies. Your expertise will be crucial in bringing life-changing treatments to patients worldwide. Embrace the future of pharmaceutical research in this exciting remote role.
Agronomy Research Scientist
Posted 10 days ago
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Job Description
Responsibilities:
- Design, execute, and manage field and laboratory experiments related to crop production and soil health.
- Collect, analyze, and interpret complex agronomic data, including soil samples, plant tissue, and yield measurements.
- Develop and test new crop varieties, fertilizers, pesticides, and cultivation techniques.
- Conduct research into soil fertility, nutrient management, water conservation, and pest/disease control.
- Prepare detailed research reports, scientific publications, and presentations for internal and external stakeholders.
- Collaborate with a multidisciplinary team of scientists, agronomists, and technicians.
- Stay abreast of the latest advancements in agronomy, agricultural technology, and sustainable farming practices.
- Assist in the development of grant proposals and secure research funding.
- Ensure compliance with all safety protocols and ethical guidelines in research activities.
- Contribute to the development of best practice recommendations for farmers and agricultural stakeholders.
- Manage research budgets and timelines effectively.
- Travel to various research sites and agricultural operations as needed.
Qualifications:
- Ph.D. or Master's degree in Agronomy, Crop Science, Soil Science, Plant Science, or a closely related field.
- Minimum of 3-5 years of hands-on research experience in agronomy or a related agricultural science discipline.
- Demonstrated experience in experimental design, data analysis (using statistical software like R or SAS), and interpretation.
- Strong knowledge of crop physiology, soil chemistry, plant pathology, and entomology.
- Experience with field research methodologies and laboratory techniques.
- Excellent written and verbal communication skills, with a proven ability to publish research.
- Strong analytical and problem-solving abilities.
- Ability to work independently and as part of a collaborative research team.
- Proficiency in relevant software for data analysis and reporting.
- Valid driver's license and willingness to travel to field sites.
This is a significant opportunity to contribute to the advancement of agricultural science and sustainable food production, working within a dedicated research environment in the heart of London.
AI Research Scientist
Posted 10 days ago
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AI Research Scientist Multimodal
Posted 18 days ago
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Job Description
25WD91974
**AI Research Scientist/Engineer (Multimodal)**
**Position Overview**
As an AI Research Scientist at Autodesk Research, you will be doing fundamental and applied research that will help our customers imagine, design, and make a better world.
We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction.
This role will report to a Research Manager in the AI Lab.
**Responsibilities**
· Develop new ML models and AI techniques
· Lead on research projects within a global team
· Review relevant AI/ML literature to identify emerging methods, technologies, and best practices.
· Explore new data sources and discover techniques for best leveraging data
**Minimum Qualifications**
· A Master's or PhD in a field related to AI/ML, such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, or related disciplines
· Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, metrics, and benchmarks, and deploying production-ready solutions)
· Familiarity in statistical methods for Machine Learning (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.)
· Familiarity with PyTorch, PyTorch Lightning, or similar frameworks
· Strong coding abilities in Python
· Strong Software development skills and familiarity with GPUs, MLOps, Git, High-performance large-scale ML systems and platforms.
· Experience with Transformers, LLMs, NLP, Multi-modal Deep Learning, and VLMs/MLLMs
· Publication track record in machine learning conferences and/or journals
**Preferred Qualifications**
· Significant post-graduate research experience, or five or more years of work experience (actual job title/position will be commensurate with experience)
· Experience with foundation and open-source models, meta/transfer learning, fine-tuning, distillation, multi-task/continual learning, RL, RLxF, and/or image/audio/video/3D generation/understanding
· Experience or familiarity with the 3D Graphics/Animation, Manufacturing, Engineering, Architecture, and/or Construction doma
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**Learn More**
**About Autodesk**
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
**Salary transparency**
Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
**Diversity & Belonging**
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: you an existing contractor or consultant with Autodesk?**
Please search for open jobs and apply internally (not on this external site).
Lead Pharmaceutical Research Scientist
Posted today
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Job Description
Key Responsibilities:
- Lead and manage a team of research scientists, providing scientific direction, mentorship, and performance oversight.
- Develop and execute strategic research plans focused on identifying and characterizing new drug targets for unmet medical needs.
- Design, synthesize, and optimize small molecules or biologics with therapeutic potential.
- Conduct and interpret in vitro and in vivo studies to assess drug efficacy, safety, and pharmacokinetics.
- Collaborate with cross-functional teams, including chemistry, biology, pharmacology, and regulatory affairs, to advance drug candidates through the development pipeline.
- Analyze complex experimental data, draw meaningful conclusions, and present findings at internal meetings and scientific conferences.
- Stay abreast of the latest scientific literature, emerging technologies, and competitive landscape in relevant therapeutic areas.
- Contribute to the preparation of regulatory submissions, including IND and NDA documents.
- Ensure compliance with all laboratory safety protocols, ethical guidelines, and company policies.
- Manage research budgets and resource allocation effectively.
- Ph.D. in Pharmacology, Medicinal Chemistry, Molecular Biology, or a closely related field.
- Minimum of 8 years of post-doctoral research experience in the pharmaceutical or biotechnology industry, with at least 3 years in a leadership or supervisory role.
- Extensive experience in drug discovery, target validation, and lead optimization, with a strong publication record.
- Proficiency in various experimental techniques relevant to drug discovery (e.g., assay development, screening, cell-based assays, animal models).
- Demonstrated ability to design and execute complex research projects, interpret data, and troubleshoot experimental challenges.
- Excellent leadership, communication, and interpersonal skills, with the ability to foster a collaborative and innovative research environment.
- Familiarity with regulatory requirements for drug development (e.g., FDA, EMA).
- Experience working in a London, England, UK based laboratory setting.
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Senior Pharmaceutical Research Scientist
Posted 1 day ago
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Principal Research Scientist - Biotechnology
Posted 1 day ago
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Responsibilities:
- Design and execute complex experimental protocols in areas such as molecular biology, cell biology, biochemistry, or immunology.
- Lead and manage a team of research scientists and technicians, providing technical guidance and mentorship.
- Develop and validate novel assays and experimental methodologies.
- Analyse and interpret complex datasets, drawing meaningful conclusions and identifying future research directions.
- Author high-impact scientific publications and present research findings at international conferences.
- Contribute to the intellectual property strategy through patent filings.
- Collaborate with cross-functional teams, including medicinal chemistry, pharmacology, and clinical development, to advance drug candidates.
- Manage research budgets and resources effectively.
- Ensure strict adherence to laboratory safety protocols and regulatory guidelines.
- Stay abreast of the latest scientific advancements and emerging technologies in the field.
- PhD in Biotechnology, Molecular Biology, Biochemistry, Pharmacology, or a closely related field.
- Minimum of 10 years of post-doctoral research experience in an academic or industrial setting.
- Demonstrated track record of successfully leading research projects and managing scientific teams.
- Extensive experience in designing, executing, and interpreting complex experiments.
- A strong publication record in peer-reviewed journals.
- Expertise in one or more of the following areas: genetic engineering, protein engineering, cell-based assays, or small molecule drug discovery.
- Proficiency in relevant analytical and data interpretation software.
- Excellent written and verbal communication skills, with the ability to clearly articulate complex scientific concepts.
- Strong leadership, problem-solving, and critical thinking abilities.
- Willingness to work on-site in London, England, UK .
Senior AI Research Scientist
Posted 2 days ago
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Job Description
Key Responsibilities:
- Lead research initiatives in AI/ML, focusing on developing novel algorithms and techniques.
- Design, implement, and validate AI models for specific business challenges.
- Collaborate with cross-functional teams, including software engineers and product managers, to integrate AI solutions into existing platforms and products.
- Stay abreast of the latest advancements in AI research and development, publishing findings and presenting work internally and externally.
- Mentor junior researchers and engineers, fostering a culture of learning and innovation.
- Contribute to the strategic direction of AI research within the organization.
- Ensure the ethical and responsible development and deployment of AI technologies.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of 5+ years in AI research and development, with a strong publication record in top-tier conferences and journals.
- Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python).
- Demonstrated experience with various AI domains such as NLP, computer vision, reinforcement learning, or recommendation systems.
- Strong understanding of statistical modeling, data analysis, and experimental design.
- Excellent problem-solving skills and the ability to think critically and creatively.
- Exceptional communication and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences.
- Proven experience leading research projects and mentoring teams is highly desirable.