1 to 25 of 30 Experimental Design Jobs in England

understanding of data and passion for adtech & performance marketing. The ideal candidate will have entrepreneurial spirit, an interest in trading and experience with measurement, experimental design and leveraging predictive analytics to drive performance marketing outcomes. Skills: Communication skills: Ability to engage with C-level stakeholders. Collaborate closely … involves clear communication regarding integration processes, challenges encountered, and findings, ensuring that the team is well-informed and aligned with the project's progress. Experimental design & measurement: Knowledge and experience with experimental design and measurement for performance marketing and CRM activities. Familiarity with sparse more »

including single-cell RNA-seq data, spatial transcriptomics data, bulk RNA-seq data to evaluate effects of gene perturbation on cell models Involvement in experimental design & modelling of deep phenotyping or omics data in close collaboration with wet-lab scientists. Work as a member of cross-functional … culture Qualifications & Experience Required PhD in Computational Biology/Computer Science/Machine Learning/Statistics with relevant experience in transcriptomics analysis. Experience with experimental design, exploratory data analysis, reporting and visualisation of data. Experience with single cell transcriptomics analysis including data QC, data integration, cell type more »

new products. Craft standard operating procedures and acceptance criteria for products transitioning from pilot to full-scale production. Foster a culture of excellence in experimental design and reporting, setting new standards in scientific communication and operational procedures. Engage with key internal stakeholders from product management to sales … acceptance. Ideal Candidate: PhD or M.Sc. in Biochemistry, Molecular Biology, or closely related field, with at least 4 years of industry experience and strong experimental practice in when it comes to applications. Adept in Biochemistry, Biological Sciences, and familiar with Biophysics, Surface Chemistry, and Surface Interactions. A visionary thinker … with a flexible mindset capable of shifting research strategies as needed and effectively communicating these changes. A meticulous planner with exceptional skills in experimental design, documentation, result analysis, and presentation. An excellent communicator able to convey complex ideas to a variety of audiences. A collaborative team player more »

discovery and contribute to the production of a best-in-class computational ecosystem; Provide analytical and statistical rigour to empower better decision making in experimental design and development of therapeutics. Work collaboratively with the Biology and Protein Engineering teams to guide optimisation and development of soluble TCRs. … Effectively design and conduct experimental work to align with Company priorities and meet scientific timelines, report results succinctly and effectively. Present scientific findings and summary conclusions to your department, project team and the company leadership team. Drive innovation and continuous improvement within the team, implementing novel technologies more »

business needs Experience with theory and practice of information retrieval, data science, machine learning and data mining Experience with theory and practice of design of experiments and statistical analysis of results PREFERRED QUALIFICATIONS Experience managing, analyzing and communicating results to senior leadership AWS Cloud Practitioner/AWS Solutions more »

business needs - Experience with theory and practice of information retrieval, data science, machine learning and data mining - Experience with theory and practice of design of experiments and statistical analysis of results PREFERRED QUALIFICATIONS - Experience managing, analyzing and communicating results to senior leadership - AWS Cloud Practitioner/AWS Solutions more »

patterns and insights from raw data. * Extracting meaning from data, uncovering insights and identifying opportunities to inform business decision making. * Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation. * Develop hypotheses, make inferences, and more »

lend themselves to data-driven insights  Build, validate, and analyze statistical models using large, complex datasets to test hypotheses and reveal business insights  Design experiments leveraging A/B testing frameworks to quantify current initiatives and guide strategy  Analyze multivariate datasets using statistical programming languages like SQL, Python more »

techniques to support the activity in the laboratory Working closely with the lab teams to maintain dialogue relating to the data results which inform experimental design Monitoring signal processing algorithms to suggest methods for improvement Support and offer subject matter expertise to assist with the design more »

within a strong team to build great products. Key Responsibilities · Researching and engineering algorithms of humans and objects from a variety of sensing methods · Experimental design, presentation and reviewing experimental results · Algorithm and system performance characterisation · Collaborate with software development and product stakeholders to deliver software more »

build great motion capture products. Key Responsibilities · Researching and engineering algorithms for motion capture of humans and objects from a variety of sensing methods · Experimental design, presentation and reviewing experimental results · Algorithm and system performance characterisation · Collaborate with software development and product stakeholders to deliver software more »

about the options for this particular role Salary: £47,683+ (dependent on skills and experience) What you'll be doing: Applying scientific methods through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions Building scalable machine learning pipelines and combining feature engineering with optimisation … scientists Applying data science techniques to present, communicate and disseminate data science products effectively, appropriately and with high impact Working with technologists to design, create, test and document data products with agreed software development standards, including security, accessibility and version control Contributing to decision-making throughout the product more »

/optimization in creative ways to heterogeneous data sets. Taking concepts from POC into production/working with global development teams Code reviews and experimental design of new solutions/mentoring members of the team Always seeking new ways of utilizing data/providing solutions that make … insights for front office users • Experience presenting data visually (Plotly, D3, Tableau). • Time-series modelling (ML/econometrics) • Enterprise software development (code design, review, gitflow, etc.) • Cloud-based data science workflows (on AWS in particular) • Deep Learning (able to translate deep learning models) • Experience in Energy/ more »

net models to predict slurry particle size and viscosity Implementing Bayesian methods and/or state-of-the-art methods for optimising the Design of Experiments approach. Working with clients to increase their sustainability footprint by effective use of automated data processing and vizualisation methods. Requirements; You will more »

looking to add a GaN Lead Systems Architect to their team. This person will be responsible for building technology platforms for power device design and new technology … developments as well as building a world-class team who are also focused on GaN Devices. Other responsibilities of the role include: Implement DOE experimental design of power semiconductor devices, tape-out solution design and acceptance, including co-development with foundries, device testing and verification … and other necessary new product verification links Analyse and organize experimental data, and use innovative thinking to transform technology in R&D work into new products and intellectual property Be responsible for technical support for external customers Performing TCAD process and device simulations, and layout design To more »

looking to add a GaN Device Development Director to their team. This person will be responsible for building technology platforms for power device design and new technology … developments as well as building a world-class team who are also focused on GaN Devices. Other responsibilities of the role include:Implement DOE experimental design of power semiconductor devices, tape-out solution design and acceptance, including co-development with foundries, device testing and verification … and other necessary new product verification linksAnalyse and organize experimental data, and use innovative thinking to transform technology in R&D work into new products and intellectual propertyBe responsible for technical support for external customersPerforming TCAD process and device simulations, and layout designTo be considered for this GaN Device more »

looking to add a GaN Device Development Director to their team. This person will be responsible for building technology platforms for power device design and new technology … developments as well as building a world-class team who are also focused on GaN Devices. Other responsibilities of the role include: Implement DOE experimental design of power semiconductor devices, tape-out solution design and acceptance, including co-development with foundries, device testing and verification … and other necessary new product verification links Analyse and organize experimental data, and use innovative thinking to transform technology in R&D work into new products and intellectual property Be responsible for technical support for external customers Performing TCAD process and device simulations, and layout designTo be considered for more »

R&D) function - A solid grasp of the scientific and technical aspects relevant to the organisation’s projects. This includes familiarity with research methodologies, experimental design, and data analysis. However, doesn’t need to be an expert in technical aspect. Industry Trends and Innovations - Staying informed about … smooth project execution. Data-Driven Decision-Making - Ability to analyse data, interpret results, and make informed decisions. Being analytical and critical is essential. Design and Conduct Experiments - Confident designing and overseeing prototypes/field testing. Adaptability - The ability to adapt to changing project requirements, unexpected results, and evolving … multiple projects simultaneously, prioritise tasks, and meet deadlines. Desirables Experience in electronics/software Previous work with tool makers Previous experience in hygienic design of equipment Understanding of the food manufacturing industry General Expectations ▪ Maintain personal and professional development to meet the changing demands of the job and more »

this role utilises technical expertise to support the development of technology and product platforms. Key Responsibilities: Collaborate with internal and external partners to design and initiate studies in support of Product Launch Science Plans. This involves creating testing protocols, analysing product data, and communicating findings to stakeholders. Work … all technology and compositions related to New Category products. Experience, Skills, and Qualifications Required: Basic understanding of Product Science testing techniques (e.g., analytical) and experimental design to support product safety, compliance, claims, and regulatory assessments. Familiarity with New Category Products composition, function, operating principles, and testing approaches. more »

a combination of open-source and cloud tools, driving innovation and delivering actionable insights. Collaborate with business stakeholders to identify data-driven opportunities, design experiments, and develop predictive models. Identify opportunities for innovation through analytics, influencing business stakeholders, and shaping them into viable candidates aligned with strategic objectives. … like Azure ML studio, Azure functions, Azure Pipelines, Mlflow, Azure Synapse Analytics, etc., is a plus. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Expertise in machine learning algorithms and frameworks. Strong problem-solving skills and the ability to translate business challenges into data science solutions. Excellent more »

for leading the development and implementation of sophisticated analytical models and strategies. You will collaborate with cross-functional teams to identify business opportunities, design experiments, and develop predictive models. Your expertise in statistical analysis, machine learning, and data visualization within the Data Science ecosystem will be instrumental in … of open-source and Azure cloud tools, driving innovation, and delivering actionable insights. Collaborate with business stakeholders to identify data-driven opportunities, and design experiments and analytical approaches to address specific challenges. Identify opportunities for innovation through analytics in the business of Allianz, and influence business stakeholders in … Azure Synapse Analytics, etc., is a plus. Understanding of Knowledge Graphs and LLM's is advantageous. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Expertise in machine learning algorithms and frameworks (e.g., TensorFlow, Keras, PyTorch). Strong problem-solving skills and the ability to translate business challenges more »

Work, data analysis and documentation to evaluate the performance and accuracy of medical technologies.Algorithm Development- Develop prototype algorithmic functions based on data analysis and experimental findings.Quality Assurance: Assist in maintaining adherence to ISO 13485 standards and contribute to quality control processes. To be successful in this position you will … s or Master's degree in Engineering or a related field.Minimum of 3 years of experience in Medtech or a similar field.Demonstrated proficiency in experimental design, data analysis, and algorithm development.Experience with Matlab, C++ or similar programming languages. If you are a System Engineer looking to make more »

as a strategic asset and business tool.Procure data relevant for machine learning model development and other scientific analysis purposes, including public and commercial datasets, experimental data generation, and strategic data partnerships with other industry players and academic consortia.Liaise with a wide network of external data providers to gather data.Partner … and usable for machine learning purposes.Your skills and qualifications EssentialPhD in Chemistry, Biology, Statistics, Computer Science or equivalent professional experienceExtensive understanding of life science experimental data generation techniques and common assays used in research and drug discovery including spectroscopy, spectrometry, crystallography, microscopy, binding, ADME, cytotoxicity, and phenotypic assays, NGS … to haveUnderstanding of Machine Learning and software engineering principles and standard methodologies.Experience leading teams of data curators and data analysts.Understanding of statistical analysis, design of experiments, and data visualisation. Detailed understanding of drug discovery, pharma, and medical research.Culture and valuesWhat does it take to be successful at IsoLabs more »

creation during development phase, escalating issues in a timely manner and providing independent confirmation the product performs as specified or required. • Influence product design at the early stage of the Product Development process by being the ‘voice’ of the consumer to ensure product meets the quality promise at … work scheduling, activities and resources, including working with contractor provider for additional resource, timesheets and overtime, as required. • Develop robust testing protocols and design of experiments by evaluating risks against consumers’ key quality attributes. Ensure that the test protocol simulates market and environmental conditions to actively reflect how … build networks Proactively recommend and/or take actions to solve technical issues or improve ways of working Statistical software knowledge and application Design of experiment experience would be an asset Computer literacy (Microsoft Office and statistical software advantageous) The ability to build great peer relationships The skill more »

humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_THE PERSON: The ideal candidate has experience and leadership experience in managing Design Verification (DV) teams. You also have excellent communication, writing, and presentation skills. KEY RESPONSIBILITIES: Lead an x86 Core DV engineering team.Build a team and … the team, participate in technical discussions, meet schedule commitments, and provide strong support to customers.Collaborate with multi-functional leaders, such as RTL, Physical Design, and Performance team leaders, to drive AMD's success. PREFERRED EXPERIENCE: A strong leader with experience working with distributed teams.Prior experience in Design Verification is a must. Deep knowledge and understanding of Computer Architecture, Microprocessor DV methodology, DV processes, testbench design, and quality requirements. Strong mentoring and coaching skills. Proven experience managing and leading engineering teams.Strong system and software engineering background.Strong communications skills. Able to summarize complex problems for more »