51 to 70 of 70 Experimental Design Jobs in the UK

or completed Masters and/or PhD is preferred but not required Fluency in English (native or bilingual level) Detail-oriented Proficient in biology and inductive/deductive reasoning, experimental design, data interpretation, and systems-level thinking. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency More ❯

reagents and associated methodologies, while working according to ISO 13485 standards. The role may provide on a project need basis supervision for other team members, planning and coordinating various experimental work and troubleshooting. Duties and Responsibilities Assist the R&D Manager/Team Leader on a variety of scientific projects, including new product development, assay design, data … generation and troubleshooting. Lead the technical development of new products, being responsible of product design, experimental project planning and execution and communication of findings and progress to different stakeholders. Design, develop, and verify designs for a wide range of molecular biology reagents, including PCR, isothermal amplification, and Next Generation Sequencing applications. Establish and disseminate technical … activities. Hands-on experience in designing assays or enzymatic reactions using molecular biology technologies (e.g. end-point PCR, real-time PCR, LAMP, NGS) Experience in protein chemistry (protein design, expression, purification) Demonstrated expertise in protein characterization (biochemical and/or functional) Good understanding of chemical principles involved in buffers, stabilizers, enhancers, fluorescent chemistry etc. used with commercial enzymes More ❯

reagents and associated methodologies, while working according to ISO 13485 standards. The role may provide on a project need basis supervision for other team members, planning and coordinating various experimental work and troubleshooting. Duties and Responsibilities Assist the R&D Manager/Team Leader on a variety of scientific projects, including new product development, assay design, data … generation and troubleshooting. Lead the technical development of new products, being responsible of product design, experimental project planning and execution and communication of findings and progress to different stakeholders. Design, develop, and verify designs for a wide range of molecular biology reagents, including PCR, isothermal amplification, and Next Generation Sequencing applications. Establish and disseminate technical … activities. Hands-on experience in designing assays or enzymatic reactions using molecular biology technologies (e.g. end-point PCR, real-time PCR, LAMP, NGS) Experience in protein chemistry (protein design, expression, purification) Demonstrated expertise in protein characterization (biochemical and/or functional) Good understanding of chemical principles involved in buffers, stabilizers, enhancers, fluorescent chemistry etc. used with commercial enzymes More ❯

MS with significant industry or research experience in the field • Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals • Experience with big data and scalable model training and More ❯

and solid understanding of machine learning and deep learning methods Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals Preferred Qualifications, Capabilities, and Skills Strong background in Mathematics More ❯

role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is not available for remote working Skills: Agility core practices, Analytical Thinking, Creating new methodologies, Experimental Design, Formulated product testing, Formulation Deployment, Formulation design, Intellectual Asset Management, Multi-physics modelling, Presenting, Product Development, Product Sustainability Performance Management, Raw materials knowledge, Research More ❯

role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is not available for remote working Skills: Agility core practices, Analytical Thinking, Creating new methodologies, Experimental Design, Formulated product testing, Formulation Deployment, Formulation design, Intellectual Asset Management, Multi-physics modelling, Presenting, Product Development, Product Sustainability Performance Management, Raw materials knowledge, Research More ❯

role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is not available for remote working Skills: Agility core practices, Analytical Thinking, Creating new methodologies, Experimental Design, Formulated product testing, Formulation Deployment, Formulation design, Intellectual Asset Management, Multi-physics modelling, Presenting, Product Development, Product Sustainability Performance Management, Raw materials knowledge, Research More ❯

testing, and improving AI agents, with a strong emphasis on generative AI and large language models (LLMs). You will work closely with engineers and technical leads to design experiments, refine prompts, and ensure robust system performance. Responsibilities: Develop and refine test prompts to optimise AI agent behaviour. Debug and implement agent tool calls within a Python/ More ❯

and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact. Key Responsibilities: Analyse user behaviour to uncover insights, identify pain points, and influence product direction. Design experiments and support a culture of testing, learning, and iteration. Define and align key business metrics, ensuring consistency and accuracy across teams. Build and maintain dashboards and tools to More ❯

sentiment, LLM fine-tuning); GenAI frameworks Analytics & Visualisation: BI tools (Power BI, Tableau, Looker), interactive dashboards, prototypes Productisation & Deployment: APIs/microservices, Git/GitHub, Docker (Kubernetes advantageous) Other: Experimental design (A/B testing), data governance, ethical AI Experience That Helps 610+ years in data science/data engineering with tangible productisation or algorithm development. Proven More ❯

other members of the data and analytics community at Hiscox to deliver value through various analytics techniques, sharing advanced knowledge and driving the adoption of robust analytical capabilities. Design, implement and maintain robust technical frameworks for monitoring, evaluating and quantifying the commercial impact and efficiency of data science solutions, ensuring continuous value demonstration. Person Specification: To excel as … independent, high-quality research and exploratory data analysis, with the ability to develop and apply novel methodologies to solve ill-defined and challenging business problems. Proven ability to design, implement, and maintain robust technical frameworks for evaluating commercial impact. Proven ability to technically mentor data scientists, fostering best practices, elevating technical standards, and contributing to the overall technical … of Generative AI, Large Language Models (LLMs), and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with or experience on cloud platforms Impact and Achievements: As a Principal Data Scientist, your success will be measured by your ability to: Pioneer the development and More ❯

other members of the data and analytics community at Hiscox to deliver value through various analytics techniques, sharing advanced knowledge and driving the adoption of robust analytical capabilities. Design, implement and maintain robust technical frameworks for monitoring, evaluating and quantifying the commercial impact and efficiency of data science solutions, ensuring continuous value demonstration. Person Specification: To excel as … independent, high-quality research and exploratory data analysis, with the ability to develop and apply novel methodologies to solve ill-defined and challenging business problems. Proven ability to design, implement, and maintain robust technical frameworks for evaluating commercial impact. Proven ability to technically mentor data scientists, fostering best practices, elevating technical standards, and contributing to the overall technical … of Generative AI, Large Language Models (LLMs), and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with or experience on cloud platforms Impact and Achievements: As a Principal Data Scientist, your success will be measured by your ability to: Pioneer the development and More ❯

and maintain a roadmap that aligns scientific value, regulatory reality, and technical feasibility. Own product outcomes after release – track impact and iterate to maximise value. Discovery and scientific design Partner with application and research scientists to map end-to-end scientific workflows, data needs, and decision points across pharma and chemical safety. Translate scientific problems into well shaped … work. Evidence of using metrics and user insights to drive decisions Desirable Professional experience in the pharmaceutical or chemical industries and familiarity with how science is performed in practice – experimental design, data interpretation, and peer review. Experience with regulatory concepts relevant to chemical safety and pharma workflows – e.g., how guidance like ICH M7 influences user needs and More ❯

and maintain a roadmap that aligns scientific value, regulatory reality, and technical feasibility. Own product outcomes after release – track impact and iterate to maximise value. Discovery and scientific design Partner with application and research scientists to map end-to-end scientific workflows, data needs, and decision points across pharma and chemical safety. Translate scientific problems into well shaped … work. Evidence of using metrics and user insights to drive decisions Desirable Professional experience in the pharmaceutical or chemical industries and familiarity with how science is performed in practice – experimental design, data interpretation, and peer review. Experience with regulatory concepts relevant to chemical safety and pharma workflows – e.g., how guidance like ICH M7 influences user needs and More ❯

Fellowship, in the Manchester Centre for AI Fundamentals. We are particularly interested in developing new machine learning for research, which involves AI4Science and for health, sequential decision making and experimental design under uncertainty, and collaborative AI. Machine learning keywords include Bayesian inference, distribution shifts, generative modelling, human-in-the-loop learning, privacy-preserving learning, reinforcement learning, inverse More ❯

and business teams - uncovering user behaviour, identifying opportunities, and driving strategy with actionable insights. You will: Leverage quantitative analysis and data storytelling to inform product decisions. Generate hypotheses, design experiments, and champion a culture of continuous learning. Define and align key metrics across teams, ensuring data accuracy and consistency. Build and maintain self-serve data tools and dashboards More ❯

investigation processes, especially by leveraging LLMs. You will handle Amazon scale use-cases with significant impact to the cost of serving Customers. Key job responsibilities - You invent and design new solutions for scientifically-complex problem areas and/or opportunities in existing or new business initiatives. - You design experiments and define the science approach to solve … work focuses on ambiguous problem areas at the product level, where the business problem or opportunity may not yet be crisply defined. - You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty. - You provide a system-wide view and design More ❯

development workstreams. Analyse complex multi-phase technical problems, identifying tailored and cost-effective in silico modelling approaches appropriate for the scenario. Collaborate with a cross functional team to design test programmes to demonstrate device robustness which meet regulatory expectations. Collaborate with internal teams and external partners to resolve design, manufacturing, and regulatory challenges. Present project updates … to senior leaders and supporting design reviews at critical development stages. Drive continuous improvement initiatives to enhance modelling approaches, efficiency, and consistency. Contribute to the compilation and maintenance of device development documentation, including Design History Files (DHF) and Risk Management Files (RMF). Why you? Basic Qualifications Degree (or equivalent) in Mechanical Engineering, Biomedical Engineering, or … DEM, MATLAB) Excellent understanding of mechanical principles and systems. Able to communicate complex technical information to senior stakeholders effectively and concisely. Management of suppliers (e.g. external manufacturing suppliers, design consultancies). Excellent time management and organizational skills, managing multiple projects of varying complexity simultaneously. Ability to build strong relationships with internal and external stakeholders. Preferred Qualification Experience of More ❯

In this role, you'll lead the development of data-driven solutions to support marketing strategy using techniques such as machine learning, causal inference, Marketing Mix Modeling (MMM), and experimental design. You'll work closely with marketing teams and external partners to analyse customer behaviour, optimise marketing performance, and deliver impactful business recommendations. Key Responsibilities: Lead end-to-end … data science projects to improve marketing efficiency and ROI. Develop models for MMM, customer lifetime value, churn prediction, and channel attribution. Partner with stakeholders to design and evaluate marketing experiments. Create dashboards and data products for self-serve analytics and real-time insights. Ensure high standards in data quality, model governance, and documentation. Mentor and support junior team More ❯