26 to 50 of 66 Experimental Design Jobs in England

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. PREFERRED QUALIFICATIONS - Experience managing, analyzing and 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 ❯

You’ll be at the core of developing new AI co-pilots, using sophisticated models to understand complex biology, and contributing to the emergence of Biological Artificial Superintelligence. Design and apply agent-based models across large, multimodal patient datasets Collaborate with top-tier scientists and engineers to build AI systems tailored for biomedical discovery Contribute to long-term … track record with LLMs, generative AI, optimization, or sequential learning Experience with deep learning frameworks (TensorFlow, PyTorch, JAX, etc.) Expertise in one or more: reinforcement learning, Bayesian optimization, optimal experimental design, agents, or causality Experience in drug/target discovery, treatment modeling, or medical AI research Publications in high-impact conferences or journals highly desirable Next Steps More ❯

You’ll be at the core of developing new AI co-pilots, using sophisticated models to understand complex biology, and contributing to the emergence of Biological Artificial Superintelligence. Design and apply agent-based models across large, multimodal patient datasets Collaborate with top-tier scientists and engineers to build AI systems tailored for biomedical discovery Contribute to long-term … track record with LLMs, generative AI, optimization, or sequential learning Experience with deep learning frameworks (TensorFlow, PyTorch, JAX, etc.) Expertise in one or more: reinforcement learning, Bayesian optimization, optimal experimental design, agents, or causality Experience in drug/target discovery, treatment modeling, or medical AI research Publications in high-impact conferences or journals highly desirable Next Steps More ❯

drug discovery and development across diverse projects. Responsibilities Apply analytical and statistical rigour to enable better decision making during experimental design. Provide robust and rigorous statistical analyses of experimental results to aid our drug discovery programs. Translate the results of statistical analyses to non-experts, explaining the methodology, the key assumptions, and the main outcomes of the analysis … and standardisation of workflows for routine biological assays. What we look for A post-graduate degree in statistics, machine learning, data science, computer science or bioinformatics. Expertise in statistics, experimental design, and their application across a range of biological data. Confident coding in either python or R for data science and statistics. Experience communicating findings to non More ❯

cross-functional machine learning teams and data annotation teams, and will also collaborate with product and policy teams. This role combines expertise in machine learning, ethical and responsible AI, experimental design, and data generation and management. It will require curiosity to tackle totally new scientific problems, engineering skills to implement the pieces we need to test solutions More ❯

A keen interest and/or background in principles of human behavior, cognitive science, psychology, or social dynamics. Excellent communication skills, with the ability to articulate complex technical and experimental concepts clearly. What the job involves As a Research Engineer at Electric Twin, you will focus on modeling human behavior using AI. Your primary role is to pioneer the … LLMs to create believable, consistent, and scientifically-grounded AI agents. You will design the cognitive architecture of synthetic agents, evaluate their behavior in ambiguous scenarios, and develop experimental methods to validate our simulations. Key questions include: How can LLMs give agents persistent memory? How do we ensure a population of agents reflects real demographics? How do we … measure 'realism' in the absence of ground truth? This interdisciplinary role combines creative AI application, rigorous experimental design, and insights from computational social science to bring synthetic populations to life. Design AI Agents: Develop prompting strategies, retrieval-augmented generation (RAG), and tool-use frameworks for consistent personas, memories, and reasoning. Develop Experimental Methods: Design More ❯

analytics 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 ❯

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 ❯

of improvements to processes implemented on our automation platforms. - Work with cross-functional teams (sample preparation & PCR optimization and integration, troubleshooting and failure analysis) to identify and prioritize design improvements based on data collated from customers, field service, technical support and/or research & development. - Design experiments to reproduce systemic issues, determine the root causes and … teams. - Knowledge of quality methods such as CAPA, cGMP, FMEA, ISO would be beneficial. - Experience with product development and/or life cycle management in a regulated environment (Design Controls according to European and U.S./FDA guidelines) would be a plus. - Knowledge of Solid Works (or other equivalent CAD package). - Willingness and availability to travel to … of improvements to processes implemented on our automation platforms. - Work with cross-functional teams (sample preparation & PCR optimization and integration, troubleshooting and failure analysis) to identify and prioritize design improvements based on data collated from customers, field service, technical support and/or research & development. - Design experiments to reproduce systemic issues, determine the root causes and More ❯

statistical rigor to answer business questions, drive business decisions, and develop recommendations to improve operations Collaborate with Product Managers, software engineering, data science, and data engineering partners to design and develop analytic capabilities Define and govern key business metrics, build automated dashboards and analytic self-service capabilities, and engineer data-driven processes that drive business value Navigate ambiguity … of professional or military experience 5+ years of SQL experience Experience programming to extract, transform and clean large (multi-TB) data sets Experience with theory and practice of design of experiments and statistical analysis of results Experience with AWS technologies Experience in scripting for automation (e.g., Python) and advanced SQL skills Experience with theory and practice of information More ❯

as you play a lead role in pushing for continual improvement of global embedded software development best practices. What you will do: Defines and troubleshoots system level software design proposals describing complete technical architectures and … solutions. Works with hardware engineers to help in microprocessor selection, relevant interfacing circuits and input/output communications at the module and systems level. Performs component testing of software design, verifies embedded firmware and software functionality and compatibility with hardware design. Drive quality and efficiency within the embedded software team by setting an outstanding example in terms of … high-quality design, code, and validation. Lead and facilitate high-level software estimation to support business planning activities. Interface with other engineering teams, stakeholders, and customers to understand the application space and business requirements. Act as a liaison between cross-functional teams and as a spokesman for the Software Discipline. Use outstanding communication and interpersonal skills to lead More ❯

that ensure optimal performance and availability of thousands of workcells across Amazon's global fulfillment center network. Key job responsibilities Primary responsibilities: - Utilize data analytics, root cause analysis, design of experiments and six sigma methods to improve reliability and availability of critical automation equipment and robotics & mechatronics systems. - - Develop and deliver impactful data-driven analyses, based on equipment … eliminate errors and defects, and optimize overall equipment performance. - Engage cross functional teams of maintenance technicians, engineers, product owners and leaders within RME to deliver structured problem solving. - Design, pilot and implement new preventative maintenance standards, interval adjustments, part replacement cycles, and work instruction streamlining based on granular analysis of reliability (MTBF, MTTR, OEE, etc.) trends across assets. More ❯

product data to drive strategic decision making, improve product performance and enhance user experience through the customer acquisition journey all the way through to first trade. You will design experiments and analysis frameworks to quantify ROI of conversion initiatives. You'll help shape the conversion optimisation product roadmap through data driven recommendations, collaborating closely with Product Managers, Data More ❯

of professional or military experience - 5+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. PREFERRED QUALIFICATIONS - Experience working directly with business More ❯

5+ years of Product Management experience, with demonstrable success managing technical products, data platforms, analytics tools, or developer-focused platforms. Deep, practical understanding of A/B testing principles, experimental design, statistical concepts (e.g., hypothesis testing, statistical significance, power, confidence intervals), and common pitfalls. Strong technical fluency; ability to grasp platform architecture, and effectively collaborate with engineers More ❯

functional teams, including researchers, engineers, and data annotators, to conduct data-driven decision-making and improve the overall effectiveness of our AI systems. This role combines expertise in statistics, experimental design incl. human annotators, and machine learning to ensure that our models are trained on high-quality data and perform reliably across diverse scenarios. You will contribute … remote-friendly! There are no restrictions on where you can be located for this role. As a Member of Technical Staff for Data Analysis and Evaluation you will: Design and oversee data collection tasks, including supporting human annotators and ensuring data quality. Develop and apply statistical methods to evaluate the quality and reliability of datasets. Analyse and assess More ❯

company-wide Own and scale the stats engines and inference tools that power experiment analysis Build and apply advanced statistical models – especially Bayesian and casual inference approaches Help design new features that make large-scale experimentation easy Act as a go-to mentor for casual inference and experimentation, mentoring others Collaborate with smart, cross-functional teams to … keep improving experiments They’re looking for: 5+ years' experience in data science, with at least 3 years at senior level Strong expertise in Bayesian statistics, causal inference, and experimental design Advanced Python programming skills and fluency in SQL Hands-on experience building or contributing to experimentation platforms or data infrastructure Familiarity with modern development tools (e.g. More ❯

you'll do: Develop, optimise and characterise plasma etching processes such as RIE and ALE in silicon nitride and related materials and with a focus on nanophotonics devices Design and execute experiments to understand etch mechanisms, selectivity, and profile control for nanoscale structures Utilise process simulation tools (e.g., Coventorware, Sentaurus, SEMuator 3D or similar) to model and predict … lithography, magnetron sputtering, PECVD, etc. Employ a range of metrology techniques (e.g., SEM, AFM, ellipsometry, reflectometry) for in-depth characterisation of material properties and measurement of nanoscale geometry Analyse experimental data, troubleshoot issues, and implement corrective actions to improve the process and device performance Collaborate closely with internal teams as well as external partners to integrate the etch processes … with the overall waveguide manufacturing flow Document experimental procedures, results, and process specifications in detail Identify opportunities to optimise or even develop materials, tools, and processes for scaling towards mass manufacturing Knowledge, Skills & Abilities: Strong theoretical understanding of plasma physics and chemistry related to dry etching Knowledge of both standard and novel materials for photonic applications along with a More ❯

company-wide Own and scale the stats engines and inference tools that power experiment analysis Build and apply advanced statistical models – especially Bayesian and casual inference approaches Help design new features that make large-scale experimentation easy Act as a go-to mentor for casual inference and experimentation, mentoring others Collaborate with smart, cross-functional teams to … keep improving experiments They’re looking for: 5+ years' experience in data science, with at least 3 years at senior level Strong expertise in Bayesian statistics, causal inference, and experimental design Advanced Python programming skills and fluency in SQL Hands-on experience building or contributing to experimentation platforms or data infrastructure Familiarity with modern development tools (e.g. More ❯

The Opportunity We are seeking a highly skilled AI Engineer to lead the development of advanced agentic workflows that transform how scientists interact with our platform. You will design and implement autonomous systems capable of navigating complex scientific tasks—such as retrieving scientific data and designing protein binders—using natural language interfaces. In this role, you will architect … by deep technical challenges, and motivated by the opportunity to shape the future of science and technology. Who You Are Experienced software engineer with expertise in Python, API design, and distributed systems. Skilled in LLM orchestration, with hands-on experience using APIs (e.g. OpenAI, Anthropic) and frameworks like LangChain, LlamaIndex, or custom agent platforms. Proficient in intelligent information … for autonomous literature mining, disease pathway identification, and target discovery. Create agents that support scientific content generation, including hypothesis design and research writing. Develop agents for automating experimental design and orchestrating biological system validation. Work closely with scientists to translate research challenges into intelligent automation tools. Share and publish innovative applications of agentic workflows in More ❯

The Opportunity We are seeking a highly skilled AI Engineer to lead the development of advanced agentic workflows that transform how scientists interact with our platform. You will design and implement autonomous systems capable of navigating complex scientific tasks—such as retrieving scientific data and designing protein binders—using natural language interfaces. In this role, you will architect … by deep technical challenges, and motivated by the opportunity to shape the future of science and technology. Who You Are Experienced software engineer with expertise in Python, API design, and distributed systems. Skilled in LLM orchestration, with hands-on experience using APIs (e.g. OpenAI, Anthropic) and frameworks like LangChain, LlamaIndex, or custom agent platforms. Proficient in intelligent information … for autonomous literature mining, disease pathway identification, and target discovery. Create agents that support scientific content generation, including hypothesis design and research writing. Develop agents for automating experimental design and orchestrating biological system validation. Work closely with scientists to translate research challenges into intelligent automation tools. Share and publish innovative applications of agentic workflows in More ❯

The Personalisation Manager will support the definition of the personalisation strategy and market roadmaps, advising on how to build or buy AI & Analytics solutions, and supporting with the design of content and journey navigation tools. What will this involve? Lead on the build of personalisation and recommendation models that enhance customer experience (CX). Help design … teams, fostering an environment that allows for strong working relationships, trust and partnership towards a common goal. Advise and educate global markets on experimentation and personalisation best practices. Design experiments to quantify performance of models and product. Work with big data, using data science techniques and alongside engineers to define data pipeline needs. We would like you to More ❯

to solve complex marketing challenges in the B2B SaaS enterprise space. While you will set the strategic marketing direction, your unique value lies in your proven ability to design, implement, and scale AI solutions for demand generation, customer lifecycle optimization, content creation, and performance analysis. You understand that effective marketing requires not just technical prowess but also strong … brand stewardship and design sensibility to guide the output of AI systems. You will lead a small team and collaborate across functions, ensuring AI-driven marketing is both technically sound and aesthetically aligned with Userlane's brand. Responsibilities: Develop and execute a comprehensive, AI-integrated marketing strategy encompassing brand building, demand generation, product marketing, and content marketing. Lead … be prepared to discuss specific projects, methodologies, and outcomes. Proven ability to leverage AI agents and automation frameworks to create efficient, scalable marketing processes. A keen eye for design and brand aesthetics: Demonstrable design taste and ability to ensure brand consistency and quality across all marketing outputs, including those generated or assisted by AI. Demonstrable success More ❯

protein expression, protein purification, and single-particle cryo-electron microscopy (cryo-EM) to investigate G protein coupled receptor complexes. You will be expected to take an active role in experimental design, data interpretation, and dissemination of results through high-quality publications and presentations. You will also contribute to the preparation of research reports and funding proposals, and … purification, and single-particle cryo-electron microscopy (cryo-EM) to investigate membrane protein complexes involved in lipid transfer and modification.You will be expected to take an active role in experimental design, data interpretation, and dissemination of results through high-quality publications and presentations. You will also contribute to the preparation of research reports and funding proposals and More ❯