345 Theoretical Physicist jobs in the United Kingdom

WHJS1_UKTJ

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.

• Design and conduct experiments to investigate biological pathways and identify potential drug targets.
• Develop and validate new assays and experimental models.
• Analyze and interpret complex experimental data, employing statistical methods.
• Collaborate with cross-functional teams, including medicinal chemists, pharmacologists, and toxicologists.
• Contribute to the preparation of research reports, scientific publications, and regulatory submissions.
• Maintain accurate laboratory records and ensure compliance with Good Laboratory Practices (GLP).
• Stay informed about the latest scientific advancements and emerging technologies in the pharmaceutical industry.
• Troubleshoot experimental procedures and equipment.
• Present research findings at internal meetings and external scientific conferences.
• Manage laboratory resources and contribute to a safe and organized work environment.

• PhD or Master's degree in Pharmacology, Biochemistry, Molecular Biology, or a related life science discipline.
• Proven experience in drug discovery research, preferably within the pharmaceutical or biotechnology sector.
• Hands-on experience with various molecular and cellular biology techniques (e.g., cell culture, PCR, Western blotting, ELISA).
• Strong analytical skills with the ability to interpret complex data sets.
• Excellent written and verbal communication skills, with a track record of scientific publications.
• Ability to work independently and collaboratively in a team-oriented environment.
• Proficiency in data analysis software (e.g., GraphPad Prism, R) is an advantage.
• Familiarity with regulatory guidelines (e.g., GLP, GMP) is desirable.
• Strong problem-solving abilities and attention to detail.

• Design, execute, and manage field and laboratory experiments related to crop science and agricultural technology.
• Collect, process, and analyse large datasets using statistical software and bioinformatic tools.
• Develop and test new agricultural techniques, crop varieties, and precision farming methods.
• Research and implement sustainable agricultural practices to improve environmental impact.
• Collaborate with cross-functional teams, including agronomists, geneticists, and engineers.
• Prepare scientific reports, research papers, and presentations for internal and external dissemination.
• Stay current with the latest scientific literature and technological advancements in agritech.
• Contribute to grant writing and proposal development for research projects.
• Manage project timelines and resources effectively in a remote setting.
• Maintain meticulous records of experimental procedures, results, and observations.
• Identify opportunities for innovation and process improvement within research activities.
• Participate in virtual team meetings and contribute to collaborative problem-solving.
• Ensure adherence to all safety and ethical guidelines in research practices.
• Develop and implement data management protocols for research findings.
• Evaluate the economic and environmental viability of new agricultural technologies.

• Ph.D. or Master's degree in Agronomy, Plant Science, Agricultural Engineering, Biology, or a related field.
• Proven experience in agricultural research, with a focus on crop science or agritech.
• Strong statistical analysis skills and proficiency with relevant software (e.g., R, SAS, SPSS).
• Experience with data visualization tools and techniques.
• Excellent written and verbal communication skills, with a knack for presenting complex information clearly.
• Ability to work independently, manage time effectively, and maintain high levels of productivity in a remote environment.
• A deep understanding of sustainable agriculture and modern farming practices.
• Familiarity with laboratory techniques and experimental design.
• Grant writing or proposal development experience is a plus.
• A proactive and curious mindset, with a passion for scientific discovery.