1 to 25 of 48 Permanent Experimental Design Jobs in England

exposure in the fields of Biostatistics and Data Science. Our Biostatistics department contributes throughout drug development and supply, supporting scientists and clinicians in the areas of medicine discovery, design and … analysis of clinical trials, as well as non-clinical activities ensuring the quality and safety of products delivered to patients. We do this by providing statistical advice on the experimental design of studies or clinical trial design (e.g. sample size, randomisation scheme etc.), performing statistical analysis and interpretation of results, providing quantitative support to translational … Innovation Hub (SDS-IH), a methodologically focused, solution-oriented functional group within GSK's Biostatistics department. Key Placement Learnings Work in close consultation with professional statisticians to advise on experimental design of studies or clinical trial design (e.g. sample size, randomisation scheme). Collaborate with cross-functional teams to translate scientific or clinical problems into 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. Job Types: Full-time, Part More ❯

with Investment Banking to manage the Firm's strategic relationships with the technology community, including venture capitalists, established technology companies, and start-ups. Day Rate: DOE Main Duties: Design, develop, and implement a scalable, AI-driven architecture platform. Work closely with architects and data scientists to embed AI/ML models into the system for enhanced decision-making … present complex architectural ideas to diverse stakeholders. Strong problem-solving and critical thinking skills, with a track record of innovative solution design in complex environments. Understanding of experimental design, statistical analysis, and data-driven decision making. Proficiency in collaborating with data scientists to translate advanced models into scalable production code Familiarity with AI-driven frameworks 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 ❯

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values … III , you will be a dedicated AI thought leader in Search Marketing, exploring emerging technologies, developing prototypes and building production-ready solutions that enhance marketing performance. You will design and deploy AI solutions, including autonomous and agent-based systems capable of executing marketing workflows and optimising spend. Working closely with Marketing, Engineering, Product and ML Science, you will … into production Execute A/B and multivariate tests, applying statistical methods such as t-tests, confidence intervals and distributions to ensure results are valid and repeatable, and improving experimental design for marketing applications Apply generative AI, reinforcement learning and other ML techniques to improve operational efficiency and campaign outcomes through automation and scalability Implement monitoring, observability 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 ❯

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 : £40,000 – £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 : £40,000 – £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 : £40,000 – £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 : £40,000 – £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 : £40,000 – £45,000 plus bonus 🏡 Hybrid More ❯

experience and solid understanding of machine learning and deep learning methodsExtensive 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 goalsExperience with big data and scalable model training and solid More ❯

of AI supported by new hardware and develop your skills in that area, we'd love to hear from you! Responsibilities and Duties Generate AI/ML ideas, design experiments, implement them & evaluate results. Prepare, submit & present your work to AI conferences and workshops. Collaborate with researchers, silicon and software engineers at Graphcore to help define, build and More ❯

background in research methods and statistics, and a passion for applying data science to complex, practical problems. Responsibilities : Conduct exploratory analyses to uncover trends and patterns in data Design and run experiments to test hypotheses related to pricing, customer demand, and promotional effectiveness Evaluate and implement emerging data science techniques to improve existing approaches Collaborate with cross-functional … goals Develop predictive models and analytical tools Communicate insights through clear, reproducible research and translate technical findings for diverse audiences What We're Looking For: Solid foundation in statistics, experimental design, and research methodology Experience working with real-world datasets to drive actionable insights Proficiency in at least one analytical programming language (e.g., Python, R, or Julia More ❯

rooted throughout our work, to elevate and bring to life our differences throughout the platform world Overview We are seeking a Technical Lead Data Scientist to lead the design and delivery of advanced analytics and machine learning solutions that power our data-driven products and decision-making processes. Whilst this role will be hands-on in nature and … initiatives with business and product strategy Architect and deliver end-to-end ML pipelines (from data acquisition to model deployment) in collaboration with data engineering and MLOps teams Design, validate, and deploy machine learning models and advanced analytics solutions that support production forecasting, recommendation, and automation Guide the technical direction for statistical modeling, NLP, computer vision, and LLM … in Python and ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn) and experience across NLP, computer vision, and LLMs Strong statistical foundation, including A/B testing, causal inference, and experimental design Proficiency in SQL and working with large-scale, cloud-based datasets Deep understanding of MLOps principles and integrating ML solutions into production environments Demonstrated ability to More ❯

background in research methods and statistics, and a passion for applying data science to complex, practical problems. Responsibilities : Conduct exploratory analyses to uncover trends and patterns in data Design and run experiments to test hypotheses related to pricing, customer demand, and promotional effectiveness Evaluate and implement emerging data science techniques to improve existing approaches Collaborate with cross-functional … goals Develop predictive models and analytical tools Communicate insights through clear, reproducible research and translate technical findings for diverse audiences What We're Looking For: Solid foundation in statistics, experimental design, and research methodology Experience working with real-world datasets to drive actionable insights Proficiency in at least one analytical programming language (e.g., Python, R, or Julia More ❯

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

functionally with product, engineering, and operations teams, driving initiatives that balance the supply of high-quality participants with the demands of researchers. You'll have significant autonomy to design, build, and deploy models, develop measurement frameworks, and influence decisions that directly impact our platform's capabilities and business strategy. What you'll be doing Develop and own the … drive the strategy for participant engagement and retention. Synthesize complex analyses of our platform's dynamics into actionable insights, presenting compelling data-driven narratives to influence strategic decisions. Design and analyze large-scale experiments to test hypotheses about participant behavior and marketplace mechanics. Partner with data engineers to enhance data pipelines and logging systems, creating a robust foundation … modeling and analyzing complex systems, such as two-sided marketplaces, economic platforms, or supply/demand dynamics. A strong background in building measurement systems and analytical frameworks, particularly using experimental design and advanced causal inference methods. Experience with or interest in working with human behavioral data, annotation/labeling systems, or projects involving human feedback for AI More ❯

functionally with product, engineering, and operations teams, driving initiatives that balance the supply of high-quality participants with the demands of researchers. You'll have significant autonomy to design, build, and deploy models, develop measurement frameworks, and influence decisions that directly impact our platform's capabilities and business strategy. What you'll be doing Develop and own the … drive the strategy for participant engagement and retention. Synthesize complex analyses of our platform's dynamics into actionable insights, presenting compelling data-driven narratives to influence strategic decisions. Design and analyze large-scale experiments to test hypotheses about participant behavior and marketplace mechanics. Partner with data engineers to enhance data pipelines and logging systems, creating a robust foundation … modeling and analyzing complex systems, such as two-sided marketplaces, economic platforms, or supply/demand dynamics. A strong background in building measurement systems and analytical frameworks, particularly using experimental design and advanced causal inference methods. Experience with or interest in working with human behavioral data, annotation/labeling systems, or projects involving human feedback for AI More ❯

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

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

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

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