26 to 50 of 211 Experimental Design Jobs in the UK

an opportunity to push the boundaries of what causal modelling can achieve in complex, high-dimensional, and noisy real-world systems, and to see your work tested directly in experimental biology. Your Responsibilities Collaborate with domain experts to translate biological hypotheses into formal causal modelling problems. Design and implement causal learning approaches that capture regulatory logic, cell … fate trajectories, and intervention effects from diverse biological data, including single-cell perturbation experiments. Develop models that go beyond correlation, focusing on generalisation, counterfactual prediction, and experimental design. Collaborate with experimental teams to design and validate computational hypotheses via iterative strategies that inform or guide the next experiment (lab-in-the-loop). Evaluate models not More ❯

as we move towards our goal of dramatically accelerating and improving the process of designing and bringing new medicines to patients. We have built a world-leading drug design engine comprising foundational AI models that are capable of working across multiple therapeutic areas and drug modalities. The company is continually innovating on model architecture and developing cutting-edge … one or more critical problems in drug development. Identify and create novel ML approaches, model architecture, and training strategies, along with the required data to train. Analyse and tune experimental results to inform future experimental directions. Work within cross-functional ML Research, Chemistry, Engineering and Biology Teams, to direct research hypotheses and deliver outstanding research. Use your experience … ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas Expertise with detailed data quality control procedures and data visualisation Experience with experimental design and statistical analysis Demonstrated understanding of computational biology tools and methodologies and experience with the analysis of large -omics datasets Familiarity with a variety of assaying More ❯

as we move towards our goal of dramatically accelerating and improving the process of designing and bringing new medicines to patients. We have built a world-leading drug design engine comprising foundational AI models that are capable of working across multiple therapeutic areas and drug modalities. The company is continually innovating on model architecture and developing cutting-edge … one or more critical problems in drug development. Identify and create novel ML approaches, model architecture, and training strategies, along with the required data to train. Analyse and tune experimental results to inform future experimental directions. Work within cross-functional ML Research, Chemistry, Engineering and Biology Teams, to direct research hypotheses and deliver outstanding research. Use your experience … ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas Expertise with detailed data quality control procedures and data visualisation Experience with experimental design and statistical analysis Demonstrated understanding of computational biology tools and methodologies and experience with the analysis of large -omics datasets Familiarity with a variety of assaying 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 ❯

in-office work. Discover more about our company wide benefits and life at GSK on our webpage Life at GSK GSK In this role you will Lead the design, development, and deployment of advanced AI/ML models across the R&D domain (drug discovery, genomics, clinical trials, and more). Translate complex scientific and business problems into … and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Hugging Face). Experience building and deploying models in cloud environments (e.g. Azure, GCP). Solid understanding of statistics, optimization, and experimental design. Preferred Qualifications & Skills: Please note the following skills are not necessary, just preferred, if you do not have them, please still apply: Prior experience in pharmaceutical R&D 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 ❯

PCB) is an internationally recognised metabolomics centre, offering consultancy research services to academic, industry, and government partners. The centre provides expertise and advice in metabolomics research, from conception and experimental design through data acquisition to data analysis and biological interpretation. Role Summary Develop, implement, and apply advanced reproducible computational tools and workflows to process, analyse, and interpret … model organisms and human cell lines, using multistage fragmentation (MSn) data and computational methods and approaches (e.g. spectral matching, network-based approaches, and machine learning techniques, etc). Design and apply robust statistical analysis strategies to uncover biologically meaningful patterns from complex metabolomics datasets, support hypothesis testing, and enable cross-species comparisons of metabolic responses to chemical exposures … regulatory partners. Main Duties Improve, develop, implement, and apply advanced computational tools and workflows to process, analyse, and interpret large-scale LCMS-based metabolomics datasets across multiple species and experimental conditions. Drive the characterisation and annotation of metabolomes using multistage fragmentation (MSn) data, developing and employing a wide range of approaches and methods (e.g. spectral matching, network-based approaches More ❯

analyzing data from large human-research studies, and working on biometric insights for new features. The R&D Data Scientist will be responsible for literature review for data analysis, experimental design for A/B testing based on analyses, exploratory data analysis for new features, insight generation for members, data analysis of novel R&D experiments, and … based out of the Boston area, and required to come into the office 3 days/week: Monday, Wednesday & Thursday or Friday. What You'll Help Build Literature review & experimental design for new features, data analysis, and experiments: Ability to review the literature for understanding of physiological changes with temperature regulation and sleep, new exploratory analyses and … features. Competent at experimental design and how to test new features or insights in beta testing, including determining sample sizes required and identifying go/no-go criteria. Data engineering: Ability to parse, time-align, and manage data from multiple sources for data analyses. Data analysis (statistical analyses and exploratory analyses): Data analysis of our R&D More ❯

Value) forecasting models, subscription and churn models to inform marketing spend and retention strategies. Build demand forecasting models to ensure demand planning aligns with acquisition and retention trends. Design, run, and analyse A/B tests and multivariate experiments across acquisition funnels, onboarding flows, and retention programs. Collaborate with cross-functional teams to translate business goals into data … impact. Requirements What We're Looking For 5+ years of experience in data science, ideally in growth, marketing, or product-focused roles. Deep understanding of LTV modeling, forecasting, and experimental design. Proficiency in Python for data analysis and modeling (e.g., pandas, scikit-learn, statsmodels). Advanced SQL skills and experience working with large datasets in modern data environments. Experience More ❯

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 circuits and experimental quantum dot devices to 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 … 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 IC designs More ❯

for a role through Talent Hero is a smart move for professionals ready to work on international projects from home. You'll collaborate with US-based teams to design experiments, build models, and extract actionable insights that directly influence growth and product strategy. We are looking for Data Scientists who are analytical, curious, and confident turning complex data … clean, and process structured and unstructured data from multiple sources Build and deploy predictive models and machine learning algorithms Analyze trends, patterns, and correlations to identify actionable insights Design and run experiments (A/B testing, hypothesis testing) to optimize performance Communicate findings to both technical and non-technical stakeholders Create visualizations and dashboards to track key metrics More ❯

main projects in parallel - Focus on project delivery BASIC QUALIFICATIONS - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information More ❯

version control systems (e.g., Git). • Familiarity with CI/CD tools and practices. • Strong problem-solving and analytical skills. • Understanding of data structures and algorithms. • Ability to design and develop scalable, efficient, and maintainable software systems. • Experience with microservice architecture, API development. Machine Learning (ML): • Deep understanding of machine learning principles, algorithms, and techniques. • Experience with popular … microservices. • Familiarity with ML lifecycle management, including versioning, tracking, and model monitoring. • Ability to optimize and fine-tune ML models for performance and accuracy. • Understanding of statistical analysis and experimental design. • Proficiency in data visualization and interpretation of ML results. Job responsibilities Proven experience as an MLOps Engineer or in a similar role, with an excellent understanding of AI 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 ❯

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 ❯

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 ❯

version control systems (e.g., Git). Familiarity with CI/CD tools and practices. Strong problem-solving and analytical skills. Understanding of data structures and algorithms. Ability to design and develop scalable, efficient, and maintainable software systems. Experience with microservice architecture, API development. Machine Learning (ML): Deep understanding of machine learning principles, algorithms, and techniques. Experience with popular … microservices. Familiarity with ML lifecycle management, including versioning, tracking, and model monitoring. Ability to optimize and fine-tune ML models for performance and accuracy. Understanding of statistical analysis and experimental design. Proficiency in data visualization and interpretation of ML results. Job responsibilities Proven experience as an MLOps Engineer or in a similar role, with an excellent understanding of AI More ❯

version control systems (e.g., Git). • Familiarity with CI/CD tools and practices. • Strong problem-solving and analytical skills. • Understanding of data structures and algorithms. • Ability to design and develop scalable, efficient, and maintainable software systems. • Experience with microservice architecture, API development. Machine Learning (ML): • Deep understanding of machine learning principles, algorithms, and techniques. • Experience with popular … microservices. • Familiarity with ML lifecycle management, including versioning, tracking, and model monitoring. • Ability to optimize and fine-tune ML models for performance and accuracy. • Understanding of statistical analysis and experimental design. • Proficiency in data visualization and interpretation of ML results. Job Responsibilities • Proven experience as an MLOps Engineer or in a similar role, with an excellent understanding of AI 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 ❯

skills Experience or understanding of Financial Services Experience in a highly quantitative role, ideally as a data scientist at a growth or research organization Deep expertise in statistical analysis, experimental design, and causal inference Proficiency in Python, orchestration frameworks, SQL and other analytical tools #J-18808-Ljbffr 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 ❯

Skills Experience or understanding of Financial Services Experience in a highly quantitative role, ideally as a data scientist at a growth or research organization Deep expertise in statistical analysis, experimental design, and causal inference Proficiency in Python, orchestration frameworks, SQL and other analytical tools About Us J.P. Morgan is a global leader in financial services, providing strategic 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 ❯

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 ❯