1 to 25 of 59 Permanent Experimental Design Jobs in England

, implement, and scale new testing frameworks and tools that enhance the platform's capabilities and reporting accuracy Provide expert guidance and training to cross-functional teams on experimental design, hypothesis testing, and statistical best practices to optimize test duration, sample size, and overall experiment quality Conduct original research to explore and develop innovative approaches for … experimentation challenges, including designing proof-of-concept studies and integrating new methodologies into production workflows Analyze complex experimental data, build simulation frameworks to quantify error rates, and communicate findings clearly to both technical and non-technical stakeholders to inform business decisions What we're looking for: Deep expertise in statistical methodologies, particularly hypothesis testing, design of experiments … with the ability to apply these concepts rigorously in an experimentation context Strong analytical mindset with the capability to structure complex business problems and translate them into statistically sound experimental designs and solutions Proficiency in programming with experience in Python, PySpark, R, or similar languages, sufficient to implement and test statistical models and simulations, with an emphasis on correctness More ❯

Principal Quantitative UX Researcher, Prime Video Experience Design (PVXD) Job ID: Amazon UK Services Ltd. Are you interested in shaping the future of entertainment? Are you passionate about research that enables new consumer experiences, business capabilities and drives efficiency? Prime Video is changing the way people watch movies and TV and we want you to join us in … communicating research initiatives, etc. Demonstrable experience in any of the following areas (multiple areas preferred): sample design, conjoint surveys, data wrangling, nonresponse adjustment, survey weighting, causal analysis, experimental design, multiple imputation Contribute to the strategic planning of the UX research roadmap and help evolve research practices to meet changing business and user needs BASIC QUALIFICATIONS … PhD or MS in statistics, quantitative field, experimental psychology or a related discipline 10+ yrs industry experience leading quantitative research, including developing and validating survey measures and/or assessments and applying quantitative methods to business and industry settings Proficiency in experimental and quasi-experimental methods Experience with data analysis package (R, SAS, Matlab, SPSS, etc.) Demonstrated 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 ❯

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 ❯

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 ❯

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 ❯

to your recruiter about the options for this particular role. Salary: Negotiable depending on skills and experience What you’ll be doing: Reviewing and assessing the developing Submarine design to … ensure it is safe, operable and habitable by its crew. This will be achieved through attendance at design reviews, review of the 3D CAD model review of design documentation and participation in experimental design and user trials, provision of design guidance and sharing of SQEP knowledge Providing specialist support to safety More ❯

deploying innovative solutions for our clients across various industries. You will collaborate with a team of experts to solve complex business challenges using cutting-edge technologies. KEY RESPONSIBILITIES Design data-driven solutions tailored to client challenges, leveraging advanced analytical methods, ML models, and AI technologies to deliver business value. Build predictive models to assess media effectiveness, forecast customer … end-to-end scalable ML systems - including model training, inferencing, deployment, and monitoring - leveraging latest cloud technologies. Perform advanced statistical analysis including A/B testing, causal inference, and experimental design Work closely with data engineers, analysts, consultants and clients - taking a leading role in guiding and integrating efforts to ensure seamless development of solutions that create 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 ❯

role of technology and AI in health and healthcare, but also appreciate the challenges and risks of delivering effective solutions in a complex and safety critical space. By design we will remain a lean founding team (albeit within a much larger org), and as such you will need to be highly self-sufficient, and be able to span … accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities MTS-AI's work across the full AI modelling stack, including prompt design, pre- and post- training, inference, evaluation, LM systems design, and deployment. In this role, you will work across research and engineering boundaries to deliver LLM solutions in … pre/post training, metric design for AI, prompt engineering methodologies, and AI systems design. Demonstrated experience in one or more of the following areas: prompt engineering, experimental design, language model evaluations, fine tuning, reinforcement learning/direct preference optimization, data curation, and classic machine learning principles. Required/Minimum Qualifications Bachelor's Degree in More ❯

deliver new computational analysis methods to our customers Collaborate with external partners to test the technology in their use cases and drive the collaborative work towards scientific publication Design experiments to understand the utility of our technology in various aspects Provide feedback to internal product development teams (molecular biology and bioinformatics software) to drive optimisation of our assays … etc.) PhD or equivalent experience in a biological subject area, with a strong focus on informatics and data analysis Detailed understanding of methods used in genomic data science, including experimental design, QC, and common analysis methods such as variant calling, QTL mapping, GWAS/EWAS Enjoy working in a fast-moving, results-oriented business where delivery against More ❯

a production environment, ideally within ad tech, or a similar high-volume, data-intensive domain. You possess a strong theoretical and practical understanding of ML algorithms, statistical modeling and experimental design. You demonstrate exceptional leadership, communication, and interpersonal skills, with a proven ability to inspire, influence and align senior stakeholders across scientific, engineering and business functions. You are highly More ❯

it’s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real … world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable … unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £35,000 – £45,000 plus bonus 🏡 Hybrid More ❯

it’s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real … world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable … unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £35,000 – £45,000 plus bonus 🏡 Hybrid More ❯

deliver new computational analysis methods to our customers. Collaborate with external partners to test the technology in their use cases and drive the collaborative work towards scientific publication. Design experiments to understand the utility of our technology in various aspects. Provide feedback to internal product development teams (molecular biology and bioinformatics software) to drive optimisation of our assays … . PhD or commensurate experience in biological subject area, with a strong focus on informatics and data analysis. Detailed understanding of the methods used in genomic data science, including experimental design, QC, and common methods of secondary and tertiary analysis such as variant calling, QTL mapping, and GWAS/EWAS. Enjoy working as part of a fast More ❯

that help scale the business across the EU, or Worldwide - Work closely with finance team on regular analyses and reporting BASIC QUALIFICATIONS - Experience with theory and practice of design of experiments and statistical analysis of results - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science, machine 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 ❯

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 ❯

be part of. The Senior Bioinformatics Engineer - Pipeline Automation & Tool Development will be responsible for developing efficient and high quality bioinformatic pipelines and data science software supporting the design, data processing, analysis, and reporting across Lonza R&D departments. They will be placed in the Bioinformatics & Data Science group and closely work with multi-disciplinary teams of bioinformaticians … git, the UNIX command line, R (or python) and unit/pipeline testing frameworks. Minimum 2 years work experience in developing and rolling out GUI-based bioinformatic tools facilitating experimental design and analyses. Proven ability to communicate complex bioinformatic concepts to stakeholders and multidisciplinary teams. General expertise in analyzing and interpreting omics and other biological data sets More ❯

in writing reports or academic articles, presenting at conferences, and visual data storytelling. Familiar with AWS, SQL and Tableau. A background in intelligence or quantitative social sciences. Proficient in experimental design principles. Experience in big data handling, with an awareness of analytical biases and pitfalls. Skilled in documenting and sharing methodologies with data professionals. Familiar with version More ❯

for 5+ years). Desirable skills: Experience in report writing, academic publishing, or data storytelling. Familiarity with AWS, SQL, and Tableau. Background in intelligence or social sciences. Knowledge of experimental design. Experience with big data and awareness of biases. Proficiency in documenting methodologies. Familiarity with version control tools like GitHub. Experience building machine learning pipelines and understanding engineering principles. More ❯

a team of experts to develop horizontal capabilities through APIs, libraries, and thought leadership. You will collaborate with Line of Business AI teams to address priority use cases, design and build services, and promote best practices in AI. Your role will involve mentoring a team of AI engineers and ensuring the firm stays at the forefront of AI … advancements. Job Responsibilities Assist LoB AI teams to directly solve for priority use cases within the domain Design and build services and libraries that LoB AI teams want to use Lead, mentor, and inspire a team of AI engineers, fostering a culture of excellence, innovation, and continuous learning Work seamlessly with technology partners to build and maintain business … PhD and academic research experience or have worked in one of the top commercial AI research labs Deep understanding of AI fundamentals and practical experience with data analysis and experimental design Recent hands-on experience training, deploying models and pipelines Familiarity with distributed computing patterns for training, serving, persistence of state Experience in building and leading high More ❯

a team of experts to develop horizontal capabilities through APIs, libraries, and thought leadership. You will collaborate with Line of Business AI teams to address priority use cases, design and build services, and promote best practices in AI. Your role will involve mentoring a team of AI engineers and ensuring the firm stays at the forefront of AI … advancements. Job Responsibilities Assist LoB AI teams to directly solve for priority use cases within the domain Design and build services and libraries that LoB AI teams want to use Lead, mentor, and inspire a team of AI engineers, fostering a culture of excellence, innovation, and continuous learning Work seamlessly with technology partners to build and maintain business … PhD and academic research experience or have worked in one of the top commercial AI research labs Deep understanding of AI fundamentals and practical experience with data analysis and experimental design Recent hands-on experience training, deploying models and pipelines Familiarity with distributed computing patterns for training, serving, persistence of state Experience in building and leading high More ❯

a team of experts to develop horizontal capabilities through APIs, libraries, and thought leadership. You will collaborate with Line of Business AI teams to address priority use cases, design and build services, and promote best practices in AI. Your role will involve mentoring a team of AI engineers and ensuring the firm stays at the forefront of AI … advancements. Job Responsibilities Assist LoB AI teams to directly solve for priority use cases within the domain Design and build services and libraries that LoB AI teams want to use Lead, mentor, and inspire a team of AI engineers, fostering a culture of excellence, innovation, and continuous learning Work seamlessly with technology partners to build and maintain business … PhD and academic research experience or have worked in one of the top commercial AI research labs Deep understanding of AI fundamentals and practical experience with data analysis and experimental design Recent hands-on experience training, deploying models and pipelines Familiarity with distributed computing patterns for training, serving, persistence of state Experience in building and leading high More ❯