1 to 25 of 194 Experimental Design Jobs in England

consistently drives change from the front of the pack. Amazon is seeking a detail oriented Research Scientist to focus on simulation to assist with process improvement and facility design initiatives in our North American fulfillment network. Successful candidates will be natural self-starters who have the drive to design, model, and simulate new fulfillment center conception … and design processes. The Research Scientist will be expected to deeply investigate complex problems and drive relentlessly towards innovative solutions. This role requires collaboration with cross-functional teams to develop and integrate advanced computer vision technologies that detect operational anomalies in real-time, improve equipment reliability, and enhance process efficiency. Key responsibilities include applying computer vision, data modeling … years of work experience. - Experienced in writing academic-styled papers for presenting both the methodologies used and results for data science projects. - Hypothesis testing (including statistical hypothesis testing) and experimental design. - Experience with unstructured textual data - Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams and business audiences Amazon 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 ❯

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 ❯

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 ❯

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. #INDUKBIO Job Types: Full-time More ❯

other members of the data and analytics community at Hiscox to deliver value through various analytics techniques, sharing advanced knowledge and driving the adoption of robust analytical capabilities. · Design, implement and maintain robust technical frameworks for monitoring, evaluating and quantifying the commercial impact and efficiency of data science solutions, ensuring continuous value demonstration. Person Specification: To excel as … independent, high-quality research and exploratory data analysis, with the ability to develop and apply novel methodologies to solve ill-defined and challenging business problems. · Proven ability to design, implement, and maintain robust technical frameworks for evaluating commercial impact. · Proven ability to technically mentor data scientists, fostering best practices, elevating technical standards, and contributing to the overall technical … of Generative AI, Large Language Models (LLMs), and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. · Solid understanding of foundational statistics and experimental design. · Familiarity with or experience on cloud platforms Impact and Achievements: As a Principal Data Scientist, your success will be measured by your ability to: · Pioneer the development and More ❯

at Pear Bio. Job Responsibilities Develop and implement machine learning and statistical models for target discovery, drug development and patient response prediction. Collaborate with wet-lab scientists to design experiments and analyze results to inform target and drug discovery efforts. Integrate and analyze multi-omic datasets (genomics, transcriptomics, proteomics), imaging data and clinical data to extract meaningful insights. … Build robust data pipelines for processing, integrating, and mining structured and unstructured biomedical data. Design and develop interactive dashboards and visualization tools to support data-driven decision-making. Work on single-cell resolution data from high-throughput imaging pipelines to identify biomarkers and therapeutic targets. Present findings in internal meetings and contribute to scientific publications and conferences. Stay More ❯

field with 3+ data analytics work experience using statistical packages. Programming: working knowledge of Python (or R) and SQL is required. Statistics: must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis such as regression or time-series analysis. Comfortable balancing multiple projects simultaneously and effectively prioritizing work based on business needs. More ❯

or completed Masters and/or PhD is preferred but not required. Fluency in English (native or bilingual level). Detail-oriented. Proficient in biology, 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. #J-18808-Ljbffr More ❯

at Pear Bio. Job Responsibilities Develop and implement machine learning and statistical models for target discovery, drug development and patient response prediction. Collaborate with wet-lab scientists to design experiments and analyze results to inform target and drug discovery efforts. Integrate and analyze multi-omic datasets (genomics, transcriptomics, proteomics), imaging data and clinical data to extract meaningful insights. … Build robust data pipelines for processing, integrating, and mining structured and unstructured biomedical data. Design and develop interactive dashboards and visualization tools to support data-driven decision-making. Work on single-cell resolution data from high-throughput imaging pipelines to identify biomarkers and therapeutic targets. Present findings in internal meetings and contribute to scientific publications and conferences. Stay 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 ❯

for a 24-month prestigious grant funded project. This role will be within a growing team at our London-based laboratory. You will be an integral member of the experimental team, working closely with microbiologists and molecular biologists to facilitate the successful outcomes of this new grant project. The grant project aims to leverage our existing enzyme discovery and … AI-guided proprietary drug development platform, Zeus. You will leverage Zeus’s established functionality to discover candidate libraries for testing/development by the wider team, and re-integrate experimental data into Zeus to facilitate ML-based protein engineering strategies. What You’ll Do in This Role This role involves use and continued development of our cutting-edge proprietary … the Zeus platform. - You will generate derivatives of these candidates using ML-guided proprietary computational tools previously developed and implemented on the Zeus platform. - You will lead integration of experimental data into Zeus to optimise candidate selection and prioritisation processes. - You will work in our software development team, building cutting-edge functionalities for Zeus. - You will keep excellent experimental More ❯

infrastructure at a scale to support a growing business. The position requires a candidate who is comfortable translating and connecting the business context to the technical and analytical design & execution. The successful candidate will be passionate about solving the most critical business problems through data and advanced analytics and must be self-motivated, detail-oriented, with strong independent … and organize large and complex datasets from various sources. Perform analysis to identify patterns, correlations, and trends within datasets. Translate insights to actionable recommendations aligned with business objectives. Design business intelligence and analytics tools to track business performance across marketing, sales, and retail organizations. Model Development and Optimization Build advanced analytics to extract key strategic insights (product, customer … effective, insightful, and interactive dashboards in Tableau or PowerBI Ability to use core analytics methods in developing solutions (one or more of the following) Statistics (t-tests, ANOVA) & design of experiments Segmentation/clustering techniques Time series analysis Familiarity with a broad base of analytics tools (one or more of the following): Data Management: SQL and Alteryx BI More ❯

machine learning to build scalable, efficient, and insightful models-driving real business impact. Responsibilities Translate predictive modeling problems and business constraints into robust Bayesian or probabilistic AI solutions. Design and implement reusable libraries of predictive features and probabilistic representations for diverse ML tasks. Build and optimize tools for scalable probabilistic inference under memory, latency, and compute constraints. Apply … modern AI use cases. Collaborate closely with product, engineering, and business teams to build end-to-end modeling solutions. Conduct deep-dive statistical and machine learning analyses, simulations, and experimental design. Stay current with emerging trends in generative modeling, causality, uncertainty quantification, and responsible AI. Requirements/Qualifications: Strong experience in Bayesian inference and probabilistic modeling : PGMs, HMMs, GPs More ❯

Location: Remote/Hybrid/USA-SF, USA-remote, UK-London, UK-remote Responsibilities: Translate predictive modeling problems and business constraints into robust Bayesian or probabilistic AI solutions. Design and implement reusable libraries of predictive features and probabilistic representations for diverse ML tasks. Build and optimize tools for scalable probabilistic inference under memory, latency, and compute constraints. Apply … modern AI use cases. Collaborate closely with product, engineering, and business teams to build end-to-end modeling solutions. Conduct deep-dive statistical and machine learning analyses, simulations, and experimental design. Stay current with emerging trends in generative modeling, causality, uncertainty quantification, and responsible AI. Requirements/Qualifications: Strong experience in Bayesian inference and probabilistic modeling : PGMs, HMMs, GPs More ❯

and business stakeholders to ensure data readiness and alignment with business objectives. Interpret complex datasets to generate actionable insights and present findings to technical and non-technical audiences. Conduct experimental design, hypothesis testing, and causal inference analysis. Contribute to the continuous improvement of data science methodologies and best practices. Requirements PhD in Mathematics, Statistics, Computer Science, or More ❯

e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain) Experience with version control (GitHub) ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer vision Ability to write production code and object-oriented programming More ❯

and interpret models. Shape the R&D strategy and modelling roadmap. Assist in acquiring vendor data and develop arguments. Provide expert mentorship for ongoing and new pricing activities. Design experiments and multivariate testing for AI evaluation. Assess machine learning solutions for feasibility and operationalize successful prototypes with Data Engineers. Use statistical techniques to optimise business performance. Develop and More ❯

and interpret models. Shape the R&D strategy and modelling roadmap. Assist in acquiring vendor data and develop arguments. Provide expert mentorship for ongoing and new pricing activities. Design experiments and multivariate testing for AI evaluation. Assess machine learning solutions for feasibility and operationalize successful prototypes with Data Engineers. Use statistical techniques to optimise business performance. Develop and More ❯

Ability to coach, support and mentor more junior team members. Advanced knowledge of machine learning algorithms and general statistical methodologies and theory. Advanced knowledge of AB testing and design of experiment. Advanced Python and SQL skills, experience using Spark for processing large datasets. Understanding of software product development processes and governance, including CI/CD processes and release 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 ❯

solid understanding of machine learning and deep learning methods. 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 ❯

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 ❯

and solid understanding of machine learning and deep learning methods 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 ❯

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 performance-based More ❯