1 to 25 of 72 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 ❯

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 ❯

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 ❯

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 ❯

supervision. Analyze large, diverse datasets to extract impactful insights that can guide Exchange product and pricing strategy. Collaborate with cross-functional teams (Product, Engineering, Commercial, Operations, Finance) to design, implement, and test new and existing products, as well as to understand, analyze, explain, and predict the impact of platform algorithms on clients and partners. Define, establish, and drive … development of advanced statistical and machine learning methods, setting modeling standards and best practices. Conduct exploratory analyses to deepen insights into key metrics and trends, and lead the design and execution of A/B tests and other complex experiments to validate hypotheses for the Exchange. Continuously evaluate and validate both internal and external products to ensure Cint … large, complex datasets independently. Deep understanding of advanced statistical techniques and concepts (e.g., properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, including multivariate testing, regression/predictive modeling, causal inference, and A/B testing). Strong knowledge of various machine learning techniques (e.g., clustering, regression, decision More ❯

supervision. Analyze large, diverse datasets to extract impactful insights that can guide Exchange product and pricing strategy. Collaborate with cross-functional teams (Product, Engineering, Commercial, Operations, Finance) to design, implement, and test new and existing products, as well as to understand, analyze, explain, and predict the impact of platform algorithms on clients and partners. Define, establish, and drive … development of advanced statistical and machine learning methods, setting modeling standards and best practices. Conduct exploratory analyses to deepen insights into key metrics and trends, and lead the design and execution of A/B tests and other complex experiments to validate hypotheses for the Exchange. Continuously evaluate and validate both internal and external products to ensure Cint … large, complex datasets independently. Deep understanding of advanced statistical techniques and concepts (e.g., properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, including multivariate testing, regression/predictive modeling, causal inference, and A/B testing). Strong knowledge of various machine learning techniques (e.g., clustering, regression, decision More ❯

supervision. Analyze large, diverse datasets to extract impactful insights that can guide Exchange product and pricing strategy. Collaborate with cross-functional teams (Product, Engineering, Commercial, Operations, Finance) to design, implement, and test new and existing products, as well as to understand, analyze, explain, and predict the impact of platform algorithms on clients and partners. Define, establish, and drive … development of advanced statistical and machine learning methods, setting modeling standards and best practices. Conduct exploratory analyses to deepen insights into key metrics and trends, and lead the design and execution of A/B tests and other complex experiments to validate hypotheses for the Exchange. Continuously evaluate and validate both internal and external products to ensure Cint … large, complex datasets independently. Deep understanding of advanced statistical techniques and concepts (e.g., properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, including multivariate testing, regression/predictive modeling, causal inference, and A/B testing). Strong knowledge of various machine learning techniques (e.g., clustering, regression, decision More ❯

interpret large data sources independently. Familiarity with core statistical concepts and techniques (e.g. properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, regression/predictive modeling, stochastic modeling/simulation, and more). Exposure to a variety of machine learning methods (clustering, regression, tree-based models, etc.) and More ❯

interpret large data sources independently. Familiarity with core statistical concepts and techniques (e.g. properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, regression/predictive modeling, stochastic modeling/simulation, and more). Exposure to a variety of machine learning methods (clustering, regression, tree-based models, etc.) and More ❯

interpret large data sources independently. Familiarity with core statistical concepts and techniques (e.g. properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, regression/predictive modeling, stochastic modeling/simulation, and more). Exposure to a variety of machine learning methods (clustering, regression, tree-based models, etc.) and 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 ❯

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 ❯

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. 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 ❯

product development, applying complex statistical methods to a range of pharmaceutical market research data and utilizing rigorous testing methods. Statistical analysis/modelling of multiple data sources: research design (e.g. experiment/survey), data pre-processing with a data scientist mentality ("automate & re-use"). Small Language Models: be able to prepare and use data to build small … Segment complex (market research) data: normalize and ingest data into a range of platforms to aid the use of data by custom AI language models Work on the design and implementation of advanced statistical modeling and market research techniques , such as segmentation, demand assessment, choice-based modeling, statistical inference, and predictive modeling, contributing to the development of new … logistic regression) (essential) Choice/Allocation based models (essential) Decision/Regression based trees (essential) Key Driver analysis methods (essential) Multivariate analysis (essential) Machine learning/AI methods (essential) Experimental design (desirable) Bayesian methods (desirable) Time series analytics (desirable) Text analytics (desirable) Data science best practices (e.g. version control, scripts & libraries, reproducibility) and structured data wrangling (desirable 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 ❯

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 ❯

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 ❯

predictive models for compliance risk, or uncovering patterns in complex legal datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and legal subject-matter experts to design, develop, and deploy models that transform how organisations interact with legal information. What You’ll Be Doing: Designing and building machine learning and NLP models to process and analyse … full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment. Applying statistical, deep learning, and neuro-symbolic AI techniques to generate actionable insights. Contributing to experimental research, model prototyping, and performance benchmarking. Presenting findings clearly to both technical and non-technical stakeholders, including legal teams. Collaborating across data science, engineering, and product teams to build … visa sponsorship for this role). Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. PyTorch, TensorFlow). 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 More ❯

predictive models for compliance risk, or uncovering patterns in complex legal datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and legal subject-matter experts to design, develop, and deploy models that transform how organisations interact with legal information. What You’ll Be Doing: Designing and building machine learning and NLP models to process and analyse … full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment. Applying statistical, deep learning, and neuro-symbolic AI techniques to generate actionable insights. Contributing to experimental research, model prototyping, and performance benchmarking. Presenting findings clearly to both technical and non-technical stakeholders, including legal teams. Collaborating across data science, engineering, and product teams to build … visa sponsorship for this role). Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. PyTorch, TensorFlow). 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 More ❯

predictive models for compliance risk, or uncovering patterns in complex legal datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and legal subject-matter experts to design, develop, and deploy models that transform how organisations interact with legal information. What You’ll Be Doing: Designing and building machine learning and NLP models to process and analyse … full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment. Applying statistical, deep learning, and neuro-symbolic AI techniques to generate actionable insights. Contributing to experimental research, model prototyping, and performance benchmarking. Presenting findings clearly to both technical and non-technical stakeholders, including legal teams. Collaborating across data science, engineering, and product teams to build … visa sponsorship for this role). Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. PyTorch, TensorFlow). 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 More ❯

predictive models for compliance risk, or uncovering patterns in complex legal datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and legal subject-matter experts to design, develop, and deploy models that transform how organisations interact with legal information. What You’ll Be Doing: Designing and building machine learning and NLP models to process and analyse … full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment. Applying statistical, deep learning, and neuro-symbolic AI techniques to generate actionable insights. Contributing to experimental research, model prototyping, and performance benchmarking. Presenting findings clearly to both technical and non-technical stakeholders, including legal teams. Collaborating across data science, engineering, and product teams to build … visa sponsorship for this role). Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. PyTorch, TensorFlow). 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 More ❯