51 to 75 of 217 Experimental Design Jobs in the UK

Skills Experience or understanding of Financial Services Experience in a highly quantitative role, ideally as a data scientist at a growth or research organization Deep expertise in statistical analysis, experimental design, and causal inference Proficiency in Python, orchestration frameworks, SQL and other analytical tools About Us J.P. Morgan is a global leader in financial services, providing strategic 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 ❯

related applications using our innovative technologies. The Details Reporting to the Director of the RNA/cDNA Sample Technology division, the successful candidate will undertake a role that involves experimental design, offline assays, library preparation and RNA/cDNA sequencing to develop and deliver sample preparation kits and protocols, and to provide data and feedback to bioinformatic …/or viral genomics is essential. Experience in RNA-related biopharma methodologies or GMP is also desirable. The role also requires 2-3 years of prior managerial experience overseeing experimental work of junior team members. We encourage the successful candidate to liaise with senior management while maintaining oversight of key research projects within the team. Duties of the role … include (but are not limited to): experimental design and implementation of testing improvements for RNA/cDNA sequencing protocols and kits, including techniques for direct RNA and cDNA sequencing methodologies. Other responsibilities include (but are not limited to): Working on own projects as well as assisting new and junior team members with lab work and basic bioinformatics More ❯

related applications using our innovative technologies. The Details Reporting to the Director of the RNA/cDNA Sample Technology division, the successful candidate will undertake a role that involves experimental design, offline assays, library preparation and RNA/cDNA sequencing to develop and deliver sample preparation kits and protocols, and to provide data and feedback to bioinformatic …/or viral genomics is essential. Experience in RNA-related biopharma methodologies or GMP is also desirable. The role also requires 2-3 years of prior managerial experience overseeing experimental work of junior team members. We encourage the successful candidate to liaise with senior management while maintaining oversight of key research projects within the team. Duties of the role … include (but are not limited to): experimental design and implementation of testing improvements for RNA/cDNA sequencing protocols and kits, including techniques for direct RNA and cDNA sequencing methodologies. Other responsibilities include (but are not limited to): Working on own projects as well as assisting new and junior team members with lab work and basic bioinformatics More ❯

maintain robust LTV (Lifetime Value) forecasting models to inform marketing spend and retention strategies. Build demand forecasting models to ensure demand planning aligns with acquisition and retention trends. Design, run, and analyse A/B tests and multivariate experiments across acquisition funnels, onboarding flows, and retention programs. Collaborate with cross-functional teams to translate business goals into data … industry best practices. What We're Looking For 5+ years of experience in data science, ideally in growth, marketing, or product-focused roles. Understanding of LTV modeling, forecasting, and experimental design. Comprehension of A/B testing methodologies Proficiency in Python for data analysis and modeling (e.g., pandas, scikit-learn, statsmodels). Strong SQL skills and experience working with More ❯

Fellowship, Univ Manchester, UK Still some positions available in my new research group funded by the Turing AI World-Leading Researcher Fellowship: Human-AI Research Teams: Steering AI in Experimental Design and Decision-Making. Positions are available at all stages; we seek to fill most positions now but leave some for future years as well: - Research Fellow … Applicants with outstandingly strong expertise in one of following topics are welcome, or strong expertise in one and keen interest in working with expert colleagues on the others: automatic experimental design, Bayesian inference, human-in-the-loop learning, advanced user modelling, machine teaching, privacy-preserving learning, reinforcement learning, inverse reinforcement learning, simulator-based inference, likelihood-free inference. … There will be particularly good opportunities to join new work on collaborative modelling and decision-making with AI. And applications in drug design, synthetic biology, personalized medicine, and digital twins. The positions are in the University of Manchester, which has recently strengthened its position as a centre for research into AI fundamentals and impactful applications, featuring: - Brand-new More ❯

interface with qubits. This role is a unique chance to work at the bleeding edge of technology development where you will investigate and optimise the performance of innovative circuitsand experimental quantum dot devicesto tackle the engineering challenge of implementing a large-scale quantum computer in silicon. This is a rare and exciting opportunity to be an early employee at … will suit someone with a strong background in the following areas and the ability to flexibly apply and combine them on a daily basis: practical electronics test and measurement, experimental design, statistics and data analysis, analogue and mixed-signal circuit operation principles, and CMOS device physics and process. No background in quantum physics is required. Our Team … integrated circuit designs through full product test lifecycle: pre-silicon test planning; bring-up and optimisation; inter-die variability studies; and product support (where required) High-quality documentation of experimental design, measurement data, analysis, and conclusions at each step Develop efficient and automated measurement and analysis routines to provide rapid and standardised feedback on new ICdesigns, driving More ❯

technologies. In this role, the Lead Scientist will represent bioinformatics in cross-functional programs: defining bioinformatics milestones and requirements supporting data analysis developing novel tools and pipelines contributing to experimental design and project strategy In addition to strong bioinformatics and programming skills, this position requires a high degree of initiative and cross-team collaboration, as well as … such as Nextflow, WDL, as well as familiarity with containerization tools, such as Docker, and similar technologies. Responsibilities: Participate in R&D projects across multiple sites for the design, development and validation of new sequencing products Represent bioinformatics in a product development team, and be able to establish work priorities and communicate/delegate tasks to other sub … development of automated quality assessment pipelines Contribute to the planning and execution of a comprehensive strategy for assessing quality of data from novel technologies Analyze, integrate, model and interpret experimental data Support and troubleshoot existing processes and provide guidance on potential enhancements Communicate and collaborate with scientific, bioinformatics, engineering, and software teams across multiple sites to design More ❯

an opportunity to push the boundaries of what causal modelling can achieve in complex, high-dimensional, and noisy real-world systems, and to see your work tested directly in experimental biology. Your responsibilities Collaborate with domain experts to translate biological hypotheses into formal causal modelling problems. Design and implement causal learning approaches that capture regulatory logic, cell … fate trajectories, and intervention effects from diverse biological data, including single-cell perturbation experiments. Develop models that go beyond correlation, focusing on generalisation, counterfactual prediction, and experimental design. Collaborate with experimental teams to design and validate computational hypotheses via iterative strategies that inform or guide the next experiment (lab-in-the-loop). Evaluate models not More ❯

will be responsible for driving world class manufacturing automation solutions to scale our operations globally. This will involve innovating automation solutions for assembly processes, explore cutting edge technologies, design equipment and fixtures in 3D CAD. Key job responsibilities - Develop advanced simulations and data analyses to optimize automation system configuration options to meet end-to-end system goals, integrating … is a unique opportunity to be involved in a wide range of automation projects right from the start. You will interface with multiple internal Amazon R&D and design teams as well as the world's leading automation strategic partners who have the technology and resources to meet Amazon's growth needs on a global scale. You will … controls engineering experience - - Experience with complex machine learning models of physical systems, commissioning of industrial control software - Proficiency with machine and process reliability, integration of human and automated processes, experimental design, statistical analysis - Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build More ❯

will be responsible for driving world class manufacturing automation solutions to scale our operations globally. This will involve innovating automation solutions for assembly processes, explore cutting edge technologies, design equipment and fixtures in 3D CAD. Key job responsibilities - Develop advanced simulations and data analyses to optimize automation system configuration options to meet end-to-end system goals, integrating … is a unique opportunity to be involved in a wide range of automation projects right from the start. You will interface with multiple internal Amazon R&D and design teams as well as the world's leading automation strategic partners who have the technology and resources to meet Amazon's growth needs on a global scale. You will … controls engineering experience - - Experience with complex machine learning models of physical systems, commissioning of industrial control software - Proficiency with machine and process reliability, integration of human and automated processes, experimental design, statistical analysis - Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build More ❯

drug discovery, target discovery and nucleic acid therapy development. You will apply a wide range of data science and machine learning techniques - including life science foundation models, generative design, uncertainty-aware decision making, and multi-modal data analysis. Responsibilities Perform data integration, mining, and analytics across chemical, biological, and multi-omics datasets to support target identification, hit discovery … and compound optimisation. Design and develop robust machine learning models. Collaborate with platform engineers to integrate ML … models into production-grade pipelines, APIs and cloud-based services. Building high-quality, well-tested and maintainable code Provide analytical and statistical rigour to empower better decision making during experimental design. Act as a subject expert to leverage data driven science working collaboratively with chemists, biologists, platform engineers, cheminformaticians, computational biologists, and data scientists. What we are looking for More ❯

between technical AI capabilities and practical business applications, using bespoke coding and modern low-code/no-code automation platforms in an ever changing marketing landscape. KEY RESPONSIBILITIES Design and build intelligent workflow automation solutions for media and marketing teams using AI-powered tools and frameworks Develop POCs that demonstrate how AI can streamline content creation, campaign management … applicable Create API integrations between marketing tools, CRM systems, and content management platforms using MCP or alternative protocols. Perform statistical analysis including A/B testing, causal inference, and experimental design to build the business case of POC's Work closely with data engineers, media consultants and clients to ensure seamless integration of your solution to create More ❯

on-prem clusters). Ideal: Kubernetes and Docker experience for scalable, reproducible workflows. Working at Lila Sciences, you would have access to advanced technology in the areas of: AI experimental design and simulation. Automated liquid handling and instrumentation. More About Flagship Pioneering Flagship Pioneering is a biotechnology company that invents and builds platform companies, each with the More ❯

directly with business stakeholders to translate between data and business needs - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of design of experiments and statistical analysis of results. Additional experience with theory and practice of information retrieval, data science, machine learning and data mining. - Experience managing, analyzing and communicating results More ❯

marketing channels Conduct end-to-end analysis of large, complex datasets related to channel performance, user behavior, and market trends, translating raw data into actionable insights Develop hypotheses, design experiments (e.g., A/B tests), and build structured analyses to rigorously evaluate campaign effectiveness and drive data-driven decisions for channel growth Partner closely with various business functions More ❯

marketing channels Conduct end-to-end analysis of large, complex datasets related to channel performance, user behavior, and market trends, translating raw data into actionable insights Develop hypotheses, design experiments (e.g., A/B tests), and build structured analyses to rigorously evaluate campaign effectiveness and drive data-driven decisions for channel growth Partner closely with various business functions More ❯

marketing channels Conduct end-to-end analysis of large, complex datasets related to channel performance, user behavior, and market trends, translating raw data into actionable insights Develop hypotheses, design experiments (e.g., A/B tests), and build structured analyses to rigorously evaluate campaign effectiveness and drive data-driven decisions for channel growth Partner closely with various business functions More ❯

marketing channels Conduct end-to-end analysis of large, complex datasets related to channel performance, user behavior, and market trends, translating raw data into actionable insights Develop hypotheses, design experiments (e.g., A/B tests), and build structured analyses to rigorously evaluate campaign effectiveness and drive data-driven decisions for channel growth Partner closely with various business functions More ❯

with Docker, Kubernetes, and deploying machine learning models in production. Experience with visualization tools like Tableau, Power BI, or D3.js. Understanding of A/B testing, statistical analysis, and experimental design. What You Can Expect from Our Recruitment Process: We’ll start by reviewing your CV. A one-hour interview with our recruitment team to get to know you More ❯

scaffolding, prompting. Broad experience in empirical research methodologies, potentially in fields outside of machine learning, and statistical analysis (T-shaped: some deep knowledge, lots of shallow knowledge, in e.g. experimental design, A/B testing, Bayesian inference, model selection, hypothesis testing, significance testing). Deeply care about methodological and statistical rigor, balanced with pragmatism, and willingness to More ❯

and biomarker discovery. You will create robust data pipelines, curate benchmarking datasets, and develop models that combine multi omics information with existing context in Enchant. An understanding of causal experimental design and the interactions among diverse molecular modalities is essential. This position is remote, with a preference for candidates in Bristol. KEY RESPONSIBILITIES Identify, prioritize, and acquire … Stay current with advances in machine learning and computational biology; prototype promising ideas and share findings with the team. Mentor colleagues in best practices for data engineering, modeling, and experimental design. REQUIRED QUALIFICATIONS PhD (or equivalent experience) in machine learning, computational biology, bioinformatics, computer science, or a related field, plus 3+ years of relevant experience. Demonstrated expertise applying deep … in Python and modern deep learning frameworks (PyTorch, JAX, or similar). Experience designing and operating data pipelines for genomics, transcriptomics, proteomics, or metabolomics. Solid grasp of causal inference, experimental design, and statistics. Familiarity with software engineering best practices, version control, code review, and continuous integration. PREFERRED QUALIFICATIONS Experience working in cloud or HPC environments and with More ❯

that shape business strategy. If this interests you, please keep reading below for more information Responsibilities Design and analyse causal inference experiments using both randomized and quasi-experimental methods Develop conformal prediction models to quantify uncertainty in machine learning predictions Identify and account for confounding variables in observational studies Create and apply statistical frameworks to estimate causal … effects accurately Collaborate with product, engineering, and business teams to design rigorous experiments Present insights and methodologies in a clear and actionable way to stakeholders Translate complex data challenges into impactful, data-driven solutions Qualifications … Advanced degree (MS/PhD) in a quantitative field with strong statistical expertise 3+ years of hands-on experience applying statistical methods to real-world data Deep knowledge of experimental design and observational study techniques Strong understanding of conformal prediction theory and applications Proficient in Python or R, with experience in statistical and machine learning libraries Familiarity More ❯

do not know it. Come join us and help us build The DNA of tech. TM This position will be located in Newport, South Wales, U.K. Key Responsibilities: Design and drive the enablement of world-class Quality and Reliability requirements for wide-bandgap (SiC) power product release to the market, that meet both industry standards (JEDEC and AEC … to characterize SiC power semiconductor devices to understand their reliability and failure mechanisms during R&D, Transfer (New Product Introduction or NPI) and High-Volume-Manufacturing (HVM). Design experiments and co-ordinate statistical studies to determine device reliability, for example gate oxide lifetime marathon test, time-dependent dielectric breakdown. Lead and collaborate with R&D, Engineering and … and HVM. Lead and contribute to R&D, NPI and HVM quality/reliability projects, presenting results to senior management/external stakeholders (including non-technical staff). Design the requirements for quality and reliability test equipment, coordinate their development and enable transfer to manufacturing when needed Collaborate closely with both internal and external stakeholders, including R&D More ❯