11 of 11 Statistical Analysis Jobs in the Thames Valley

hand with internal and external research and development teams to design high impact pre-clinical, pivotal, and post-market research projects, oversee completion of data collection, and lead the analysis and dissemination of scientific communications. You will play a key role throughout the product lifecycle, collaborating with AI Scientists, Software Engineers, Product Teams, Marketing and Market Access, and Regulatory … diagnostic and prognostic tools into the clinical workflow. Your Responsibilities Lead in the development of research and development protocols, including literature reviews, data selection mechanisms, data management plans, and statistical analysis plans. Contribute to product design and subsequent market authorisation validation, including clinical and research design input Artificial Intelligence and Computer Vision (AICV) process. Contribute to statistical analysis of clinical and imaging data for diagnostic and prognostic research. Contribute to scientific communication to internal and external audiences, including company presentations, cross-departmental presentations, conference presentations, and scientific manuscripts. Support market access and business development activities to develop and refine clinical and business use cases, including return on investment and cost-effectiveness evidence Collaborate with internal More ❯

ensuring that they meet defined optical specifications and quality standards. Establish testing protocols for various stages of development. Implement process control techniques to ensure production consistency. Collect and perform statistical analysis on metrology data to identify trends, variances, and correlations to performance metrics. Analyze measurement data and correlate results to key performance indicators (KPIs). Produce comprehensive reports … and production) to identify areas for performance enhancement. Propose and implement improvements in metrology techniques and testing procedures. Create and maintain detailed technical documentation, including test plans, procedures, data analysis reports, and process control records. Minimum Qualifications: Bachelor's or Master's degree in Optical Engineering, Physics, Electrical Engineering, or a related Engineering field. 3+ years of hands-on … experience in optical testing, with a focus on waveguides or similar optical components. Proficiency in statistical data analysis using JMP or Minitab. Familiarity with process control, quality control, and acceptance testing in a high-volume manufacturing environment. Excellent troubleshooting skills with the ability to diagnose issues with optical systems and testing equipment. Strong communication skills, including the ability More ❯

Biotech industry or related field or industry! Knowledge of trial site operations and study execution Strong knowledge of regulatory guidelines (e.g., ICH-GCP). Demonstrated strong understanding of data analysis and familiarity with basic statistical concepts and hands-on experience using data visualization tools Project, Issue, and risk management experience with strong ability to apply critical thinking & problem … solving skills, to drive solutions &helping to lead teams to successful outcomes. Strong experience working with technology platforms and systems used for the collection, analysis and reporting of data. Experience working in highly diverse teams within clinical research; cross-functional, global, multiregional Planning and coordination skills. Experience working with cross-functional stakeholders and leading teams in a matrix environment … drug development processes Preferred Experience Working with complex data structures and reporting specifications Working with external data e.g., Safety Lab, PK, Simple Biomarkers, ECG, or similar. Possess proficiency in statistical analysis, data modelling, and data visualization techniques, or demonstrate strong knowledge in these areas. Strong Knowledge of Monitoring and Risk-based Quality Management (RBQM)/Risk-Based Monitoring More ❯

RF, and enjoys cross-team interaction. Responsibilities include: Define, design, implement, and maintain measurement/test solutions for link/modem validation Define and analyse calibration and metrology aspects (statistical error analysis, confidence levels, error budgets) Develop modular, reusable software in Python (or similar languages) to be implemented in a variety of setups Analyse and troubleshoot link-performance … testers, channel emulators) Physical-layer satellite modem algorithms/standards (DVB-S2, CCSDS) Experience in collaborative software design (GIT, code reviews) Experience in test automation Linux and Windows experience Statistical analysis and metrology This is a fantastic opportunity for a Communications Test Engineer to design and own new cutting-edge products in a fast-paced, innovative environment and More ❯

warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong understanding of data warehousing More ❯

warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong understanding of data warehousing More ❯

activities including data review and validation checks, query and data issue generation and Data Change Request (DCR) management.•Prepare study datasets for execution of data transfers and/or statistical analysis.•Conduct database lock activities, including offboarding user access and conducting quality control review of lock documentation.•Liaise with Project Management and Product Management to archive study documentation and More ❯

growing, with excellent visibility across the business and a genuine appetite for data innovation. Key Responsibilities Optimise existing yield and matching models for better consistency and forecasting performance. Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements. Build and deploy scalable data science solutions that drive measurable business impact. Collaborate with developers and … and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with cross-functional teams. **Please note: Unfortunately, this role does More ❯

and how they operate Extensive experience designing, developing and maintaining pipelines and tools to measure real-time engineering operations and processes Strong analytical and problem-solving skills in performing statistical analysis, data modeling, and predictive analytics. Professional experience in modern C++, including the STL and common testing frameworks Fluency in Python for software development Ability to develop high More ❯

using health-related observational and clinical trial data under one client portfolio. It is important for this individual to have knowledge in observational research and psychometric methodologies, a strong statistical programming skillset, and experience managing multiple studies and complex analyses. In this role, individuals will have access to real-world databases and act as the stewards of the client … s best practices, standards, and methodologies underlying the use of real-world data (RWD). Essential Functions Develop statistical analysis plans for descriptive and complex statistics in studies using RWD and clinical trial data for PRO/COA psychometric endpoint research questions Mastery in both classical and modern test theories and PRO/COA validation to program analytics … Support integration of PRO clinical trial results into value dossier and regulatory submission packages Lead development of statistical programs using SAS for regulatory and non-regulatory submissions (pre-defined and post-hoc) Implement CDISC standards as required for project deliverables Conduct QC programming for descriptive and complex studies in RWD Contribute to writing study reports and use of visualization More ❯

technical stakeholders. Experience in cross-functional team. Data Engineering Basics: Familiarity with SQL and big data processing tools (e.g., Amazon Athena). Model Evaluation & Experimentation: A/B testing, statistical analysis, and performance metrics. Security & Compliance Awareness: Understanding of data privacy, PII handling, and compliance standards (e.g., GDPR). Agile Methodologies: Experience working in Agile/Scrum teams More ❯