26 to 50 of 80 Experimental Design Jobs in the UK

be part of. The Senior Bioinformatics Engineer - Pipeline Automation & Tool Development will be responsible for developing efficient and high quality bioinformatic pipelines and data science software supporting the design, data processing, analysis, and reporting across Lonza R&D departments. They will be placed in the Bioinformatics & Data Science group and closely work with multi-disciplinary teams of bioinformaticians … git, the UNIX command line, R (or python) and unit/pipeline testing frameworks. Minimum 2 years work experience in developing and rolling out GUI-based bioinformatic tools facilitating experimental design and analyses. Proven ability to communicate complex bioinformatic concepts to stakeholders and multidisciplinary teams. General expertise in analyzing and interpreting omics and other biological data sets 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 ❯

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 ❯

analytics that shape business strategy.If this interests you, please keep reading below for more information Responsibilities • Design and analyse causal inference experiments using both randomized and quasi-experimental methods• Develop conformal prediction models to quantify uncertainty in machine learning predictions• Identify and account for confounding variables in observational studies• Create and apply statistical frameworks to estimate causal … effects accurately• Collaborate with product, engineering, and business teams to design rigorous experiments• Present insights and methodologies in a clear and actionable way to stakeholders• Translate complex data challenges into impactful, data-driven solutions Qualifications … Advanced degree (MS/PhD) in a quantitative field with strong statistical expertise• 3+ years of hands-on experience applying statistical methods to real-world data• Deep knowledge of experimental design and observational study techniques• Strong understanding of conformal prediction theory and applications• Proficient in Python or R, with experience in statistical and machine learning libraries• Familiarity More ❯

accessible to researchers, clinicians, and collaborators. Expect a fast-paced, collaborative environment that values clear scientific thinking, clean code, and practical problem-solving. What you’ll be doing: Design and maintain relational databases and bioinformatics infrastructure to … manage high-throughput biological and clinical datasets Optimise pipelines and algorithms for proteomics data integration, quantification, and downstream analysis Build clean, user-friendly internal tools and dashboards for exploring experimental data Work closely with scientists and developers to improve analysis workflows and build new features Maintain system reliability through documentation, testing, and robust version control About you: Comfortable building … environments depending on the application Strong understanding of relational database design, particularly using MySQL Familiar with omics data processing pipelines, ideally proteomics Exposure to biomarker discovery workflows, experimental design, or LC-MS/MS data Confident working across scientific and technical teams, with clear communication and collaborative mindset Nice to have: Experience working in biotech More ❯

between technical AI capabilities and practical business applications, using bespoke coding and modern low-code/no-code automation platforms in an ever changing marketing landscape. KEY RESPONSIBILITIES Design and build intelligent workflow automation solutions for media and marketing teams using AI-powered tools and frameworks Develop POCs that demonstrate how AI can streamline content creation, campaign management … applicable Create API integrations between marketing tools, CRM systems, and content management platforms using MCP or alternative protocols. Perform statistical analysis including A/B testing, causal inference, and experimental design to build the business case of POC's Work closely with data engineers, media consultants and clients to ensure seamless integration of your solution to create More ❯

across product, engineering, and business to deliver data science solutions. Responsibilities Work across and support a range of data use cases including analytics and data provisioning Lead the design, development, and deployment of data strategies, machine learning models and advanced analytics solutions to support recommendation and insight to production use cases Apply statistical techniques to extract insights and … libraries such as pandas, scikit-learn, TensorFlow, or PyTorch Expert in Python and ML frameworks (PyTorch, TensorFlow, Sklearn), with experience across NLP, computer vision, and LLMs Strong statistical and experimental design background, including A/B testing and causal inference Experience working with SQL and large-scale datasets Excellent communication skills and ability to present complex ideas More ❯

multi-TB) data sets - 7+ years of professional or military experience - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with theory and practice of information retrieval, data science, machine learning and data mining - Experience with AWS technologies PREFERRED QUALIFICATIONS - Experience 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 ❯

hear from you. What You'll Do Deep-dive into user behavior to optimize free trials and onboarding flows Design and analyze A/B tests and experimental frameworks for product development Build and maintain DBT pipelines and scalable data models Partner with engineers to ensure accurate Snowplow tracking Drive cross-functional initiatives across product, engineering, and … design Influence decisions through proactive reporting and … insight generation What You Bring Advanced SQL proficiency-daily query writing expected Background in digital product analytics , preferably with subscription-based platforms Experience with A/B testing and experimental design (preferred) Knowledge of user onboarding and retention strategies Python proficiency is a plus, but not required High ownership mindset and ability to operate autonomously in a More ❯

Director to establish an overall approach to data and measurement strategy for given clients, inclusive of construction and maintenance of measurement frameworks, learning agendas, audience-first roadmap, etc. Design and deliver third-party research and measurement solutions (i.e. ad effectiveness, sales and footfall lift measurement, ad verification, audience analytics, platform experiments, brand lift experiments, etc.) Advanced knowledge ofdata … governance practices including data QA, general media naming taxonomy, data & platform integration, etc. Robust knowledge of experimentation approaches for the leading digital platforms and the design and implementation of experiments related … to audiences, creative, planning parameters, ad-tech evaluation, etc. Strong math or statistics background, specifically strong grasp of descriptive and probabilistic theories, sampling. Hand on experience in hypothesis testing, experimental design, power analysis and causal inference Understanding of media ecosystem and different role of channels and tactic in driving media objectives Understanding how different media platforms can More ❯

in writing reports or academic articles, presenting at conferences, and visual data storytelling. Familiar with AWS, SQL and Tableau. A background in intelligence or quantitative social sciences. Proficient in experimental design principles. Experience in big data handling, with an awareness of analytical biases and pitfalls. Skilled in documenting and sharing methodologies with data professionals. Familiar with version More ❯

for 5+ years). Desirable skills: Experience in report writing, academic publishing, or data storytelling. Familiarity with AWS, SQL, and Tableau. Background in intelligence or social sciences. Knowledge of experimental design. Experience with big data and awareness of biases. Proficiency in documenting methodologies. Familiarity with version control tools like GitHub. Experience building machine learning pipelines and understanding engineering principles. More ❯

functional teams, including researchers, engineers, and data annotators, to conduct data-driven decision-making and improve the overall effectiveness of our AI systems. This role combines expertise in statistics, experimental design incl. human annotators, and machine learning to ensure that our models are trained on high-quality data and perform reliably across diverse scenarios. You will contribute … remote-friendly! There are no restrictions on where you can be located for this role. As a Member of Technical Staff for Data Analysis and Evaluation you will: Design and oversee data collection tasks, including supporting human annotators and ensuring data quality. Develop and apply statistical methods to evaluate the quality and reliability of datasets. Analyse and assess More ❯

cross-functional machine learning teams and data annotation teams, and will also collaborate with product and policy teams. This role combines expertise in machine learning, ethical and responsible AI, experimental design, and data generation and management. It will require curiosity to tackle totally new scientific problems, engineering skills to implement the pieces we need to test solutions More ❯

ll work directly with Ryan Bowman (CPO) to help us understand and improvehow our AI assists writers. Here are some examples of areas you will be working in: Design and implement evaluation frameworks for complex, subjective AI outputs (like writing feedbackthat's meant to inspire rather than just correct) Build flexible evaluation pipelines that can assess quality across … of TypeScript and ability to integrate with our existing systems Background in human-computer interaction, computational creativity, or writing research Experience with A/B testing, statistical analysis, and experimental design Familiarity with modern AI observability and monitoring tools Published research or deep interest in AI evaluation methodologies Interest in writing (fiction, non-fiction, essays) However, you More ❯

of the Turing-Lloyds Register Foundation funded project 'Air Quality Sensor Networks'. This project is likely to involve hierarchical Bayesian models, nonparametric Bayesian inference, graphical models, active learning, experimental design and issues in spatio-temporal inference such as non-stationarity and non-separability. The expectation is that you will produce breakthrough research results in the areas More ❯

of the Turing-Lloyds Register Foundation funded project 'Air Quality Sensor Networks'. This project is likely to involve hierarchical Bayesian models, nonparametric Bayesian inference, graphical models, active learning, experimental design and issues in spatiotemporal inference such as non-stationarity and non-separability. The expectation is that you will produce breakthrough research results in the areas of More ❯

BIE colleagues on trends, technologies, and best practices. 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 ❯

BIE colleagues on trends, technologies, and best practices. 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 ❯

Analytics Engineers and Software Engineers to collect and model relevant conversion data throughout the customer lifecycle Champion data-driven culture by sharing insights and building strong stakeholder relationships Design experiments and analysis frameworks to quantify ROI of conversion initiatives Lead by example in applying analytics best practices from data collection to analysis What you'll need for this More ❯

exploring and uplifting the data quality and enrichment, as well as working on our AI tools, platforms and products. You will leverage a data science approach to product design, experimentation, metrics definition, evaluation and monitoring to prove value for our customers. Data Scientists at Culture Amp are specialists who work with others to bring their expertise and views … DBT and Dask. Experience in Python data science space - LangChain, LangSmith, pandas, numpy, sci kit learn, scipy, hugging face etc. Understanding of statistical and machine learning models. Knowledge of experimental design, statistical testing and model validation. Experience in data visualization tools such as plotly, seaborn, streamlit etc would be an advantage. Understanding of data modelling and exposure More ❯

with scope to expand into demand analytics if desired What They’re Looking For Strong supply chain, operations, or inventory analytics experience Skilled in A/B testing and experimental design Advanced SQL and Python; confident with Tableau or similar Clear communicator, able to translate insights for non-technical audiences Hands-on problem solver who’s comfortable More ❯

with scope to expand into demand analytics if desired What They’re Looking For Strong supply chain, operations, or inventory analytics experience Skilled in A/B testing and experimental design Advanced SQL and Python; confident with Tableau or similar Clear communicator, able to translate insights for non-technical audiences Hands-on problem solver who’s comfortable More ❯

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 ❯