1 to 25 of 56 Experimental Design Jobs in the UK excluding London

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. Job Types: Full-time, Part More ❯

/ML Python Engineer at JPMorgan Chase within the Client Onboarding and KYC Engineering team, your responsibilities will include probing intricate business problems and employing sophisticated algorithms to design, evaluate, and implement AI/ML applications or models to resolve these issues. You will be required to leverage the company's extensive data assets from both internal and … tools like Python, Spark, and AWS. Additionally, your role will encompass extracting business insights from technical results and effectively communicating them to a non-technical audience. Job Responsibilities Design and architect end to end solutions in AI domain, from Pattern matching, Chatbot implementation, and using GenAI. Proactively develop an understanding of key business problems and processes. Execute tasks … the model risk function, and other groups. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and advanced applied experience. Experience in statistical inference and experimental design (such as probability, linear algebra, calculus). Data wrangling: understanding complex datasets, cleaning, reshaping, and joining messy datasets using Python. Practical expertise and work experience with 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 ❯

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 ❯

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 ❯

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. Benefits This is a full-time or part-time REMOTE position. You’ll be able to choose which projects you 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 ❯

used globally in scientific environments Work closely with end users to understand real-world applications and help translate feedback into product improvements Drive continuous innovation by guiding the design, prototyping, testing, and refinement of advanced tools and systems Champion quality through rigorous testing, implementation of best practices, and collaboration with production teams Collaborate with external partners to expand … practical knowledge of topics like fluid systems, heat transfer, materials, or applied physics Experience leading technical research projects, ideally involving complex products, systems, or instruments Familiarity with data analysis, experimental design, and simulation tools Competence in technical computing tools or coding environments such as Python, MATLAB, CAD, or Linux A collaborative mindset and strong communication skills, with More ❯

related applications using our innovative technologies. The Details Reporting to the Director of the RNA/cDNA Sample Technology division, the successful candidate will undertake a role that involves experimental design, offline assays, library preparation and RNA/cDNA sequencing to develop and deliver sample preparation kits and protocols, and to provide data and feedback to bioinformatic …/or viral genomics is essential. Experience in RNA-related biopharma methodologies or GMP is also desirable. The role also requires 2-3 years of prior managerial experience overseeing experimental work of junior team members. We encourage the successful candidate to liaise with senior management while maintaining oversight of key research projects within the team. Duties of the role … include (but are not limited to): experimental design and implementation of testing improvements for RNA/cDNA sequencing protocols and kits, including techniques for direct RNA and cDNA sequencing methodologies. Other responsibilities include (but are not limited to): Working on own projects as well as assisting new and junior team members with lab work and basic bioinformatics 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 ❯

technologies. In this role, the Lead Scientist will represent bioinformatics in cross-functional programs: defining bioinformatics milestones and requirements supporting data analysis developing novel tools and pipelines contributing to experimental design and project strategy In addition to strong bioinformatics and programming skills, this position requires a high degree of initiative and cross-team collaboration, as well as … such as Nextflow, WDL, as well as familiarity with containerization tools, such as Docker, and similar technologies. Responsibilities: Participate in R&D projects across multiple sites for the design, development and validation of new sequencing products Represent bioinformatics in a product development team, and be able to establish work priorities and communicate/delegate tasks to other sub … development of automated quality assessment pipelines Contribute to the planning and execution of a comprehensive strategy for assessing quality of data from novel technologies Analyze, integrate, model and interpret experimental data Support and troubleshoot existing processes and provide guidance on potential enhancements Communicate and collaborate with scientific, bioinformatics, engineering, and software teams across multiple sites to design More ❯

drug discovery, target discovery and nucleic acid therapy development. You will apply a wide range of data science and machine learning techniques - including life science foundation models, generative design, uncertainty-aware decision making, and multi-modal data analysis. Responsibilities Perform data integration, mining, and analytics across chemical, biological, and multi-omics datasets to support target identification, hit discovery … and compound optimisation. Design and develop robust machine learning models. Collaborate with platform engineers to integrate ML … models into production-grade pipelines, APIs and cloud-based services. Building high-quality, well-tested and maintainable code Provide analytical and statistical rigour to empower better decision making during experimental design. Act as a subject expert to leverage data driven science working collaboratively with chemists, biologists, platform engineers, cheminformaticians, computational biologists, and data scientists. What we are looking for More ❯

on-prem clusters). Ideal: Kubernetes and Docker experience for scalable, reproducible workflows. Working at Lila Sciences, you would have access to advanced technology in the areas of: AI experimental design and simulation. Automated liquid handling and instrumentation. More About Flagship Pioneering Flagship Pioneering is a biotechnology company that invents and builds platform companies, each with the 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 ❯

do not know it. Come join us and help us build The DNA of tech. TM This position will be located in Newport, South Wales, U.K. Key Responsibilities: Design and drive the enablement of world-class Quality and Reliability requirements for wide-bandgap (SiC) power product release to the market, that meet both industry standards (JEDEC and AEC … to characterize SiC power semiconductor devices to understand their reliability and failure mechanisms during R&D, Transfer (New Product Introduction or NPI) and High-Volume-Manufacturing (HVM). Design experiments and co-ordinate statistical studies to determine device reliability, for example gate oxide lifetime marathon test, time-dependent dielectric breakdown. Lead and collaborate with R&D, Engineering and … and HVM. Lead and contribute to R&D, NPI and HVM quality/reliability projects, presenting results to senior management/external stakeholders (including non-technical staff). Design the requirements for quality and reliability test equipment, coordinate their development and enable transfer to manufacturing when needed Collaborate closely with both internal and external stakeholders, including R&D More ❯

likely do not know it. Come join us and help us build The DNA of tech. This position will be located in Newport, South Wales, U.K. Key Responsibilities: Design and drive the enablement of world-class Quality and Reliability requirements for wide-bandgap (SiC) power product release to the market, that meet both industry standards (JEDEC and AEC … to characterize SiC power semiconductor devices to understand their reliability and failure mechanisms during R&D, Transfer (New Product Introduction or NPI) and High-Volume-Manufacturing (HVM). Design experiments and co-ordinate statistical studies to determine device reliability, for example gate oxide lifetime marathon test, time-dependent dielectric breakdown. Lead and collaborate with R&D, Engineering and … and HVM. Lead and contribute to R&D, NPI and HVM quality/reliability projects, presenting results to senior management/external stakeholders (including non-technical staff). Design the requirements for quality and reliability test equipment, coordinate their development and enable transfer to manufacturing when needed Collaborate closely with both internal and external stakeholders, including R&D More ❯

leadership to align hardware, software, and platform groups. Represent the company in customer meetings, incorporating feedback into architectural decisions. Create high-level architecture specifications to guide engineering teams. Design experiments and analyses to address architectural questions using appropriate tools and methods. Communicate technical concepts effectively across diverse audiences. Key Requirements: Proven track record in smartphone/tablet SoC … Science, or related field; MS or PhD highly desired. Keywords: SoC Architecture/System-on-Chip/Mobile Computing/Platform Architecture/Hardware-Software Integration/Semiconductor Design/Technology Roadmap/IP Evaluation/Cross-Functional Leadership/Embedded Systems/High-Performance Computing/Energy Efficiency/Architecture Specification/Simulation and Modelling If you …/07/European-Tech-Recruit-Privacy-Notice-2024.pdf Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering, Design, and Research Industries Semiconductor Manufacturing and Computers and Electronics Manufacturing Referrals increase your chances of interviewing at European Tech Recruit by 2x Chief AI System Software & Hardware Co-design 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 ❯

analytics models, including multi-channel attribution model. Utilize Databricks to perform data analysis and manage data workflows. Apply statistical techniques including regression analysis, hypothesis testing, and ANOVA analysis. Develop experimental design and A/B tests to help client design the campaign pilot. Conduct campaign measurement report and generate insights. Create comprehensive Excel reports and More ❯

development of hardware systems. Tasking will include leading and advising programs and business areas on the best practices for the development of test plans and procedures, supporting the design and development process (DFT), analysis and evaluation of sensors (custom and COTS) and sensor performance, and the design, manufacture, and implementation of all required supporting test equipment … Requires 7-10 years in Systems Engineering or relevant role. Additional Job Description: Required Qualifications: Demonstrated expertise with verification and validation planning and execution for industry applications, including design of test or design of experiment methodologies. Expert ability to derive test plans, approaches, and procedures for solving highly complex I&T problems across a program lifecycle … experience leading the development of large-scale test programs and plans, and systems engineering documents for complex electro-mechanical and/or electro-optical systems. Proven ability to design and develop test systems (hardware and software), test equipment, and fixturing required to support integration and testing activities for assigned programs while implementing DFT/DFM and related industry More ❯

makers can rely on. Our team has extensive experience of providing data-led causal and predictive insights using methods from the fields of econometrics, statistics, data science, simulation and experimental design. Our multidisciplinary approach enables us to harness the best of these methods and apply our expertise in numerous sectors and geographies. Your role in the Data Science and More ❯