6 Regression Analysis Jobs in England

multi-modal datasets to derive quantitative biological insights to support their targeting to patient populations. You will develop efficient platforms to automate complex data analysis tasks, implement cutting-edge predictive approaches, and data visualization/modelling tools to promote efficiency of data-driven decision-making. You may also contribute … to presentations and publications of findings both internally and externally. EXAMPLE RESPONSIBILITIES: Design and implement pipelines for the analysis of antibody repertoire sequencing and use advanced methods to predict antibody function. Implement advanced statistical approaches for the analysis of large omics data sets and cross-modality data integration … and analysing both in house and publicly available disease derived data sets, specifically bulk and single-cell transcriptomics and proteomics. Designs and executes data analysis plans, communicates findings, and recommends follow-up actions in multiple settings, including one-to-ones, seminars, group, and project meetings. Participates in development of more »

s objectives by designing, implementing and deploying tools and solutions for a broad range of business objectives, such as asset pricing, demand forecasting, sentiment analysis, and other machine-learning techniques for pattern recognition and statistical modeling. You may also participate in due diligence analyses of future investments, or evaluate … reports to ensure data quality and business value. Clean, structure and normalize data to eliminate redundant or unnecessary information to enable robust and sound analysis Participate in the development of both back-end data pipelines and front-end applications Generate analytical reports to track adherence of client processes to … in Mathematics, Engineering, Statistics, Computer Science or Physics. Advanced degree preferred but not required. Knowledge of Linear Algebra, Probability Theory, Statistics and Optimization, including regression analysis, parameter estimation, factors selection, PCA, hypothesis testing, time series, queuing theory, survival analysis, clustering, linear programming. Experience with machine learning methods more »

and acquire decision-grade data about the public—what consumers, voters and citizens think and do. The Role: You will be the research manager analysis lead at the organization, you’ll be a foundational part of a fast-growing research data team which works in lockstep with the 10+ … also be welcomed. The ideal candidate should be able to come to identify the top 2-3 findings for each client brief through data analysis — and express these in well-structured PowerPoint decks and memos Experience in conducting different types of statistical analyses ideally on panel data — principal component … analysis, factor analysis, multivariate regression and cluster analysis The benefits: As a Research Manager, you can earn up to a base of £60,000 plus an aggressive benefits package How to apply: Please register your interest by sending your Resume to Louiscollins@harnham.com or via the more »

and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and machine more »

development of our warehouse and factory construction research. In this position, you will be developing new methodologies and research approaches, leveraging statistical models like regression analyses. In addition to doing research, you will also be supporting the commercial success of the group by engaging with clients and winning new more »

role are expected to apply knowledge of experimental methodologies, statistics, Reinforcement Learning, Optimisation, Probability Theory, and Machine Learning using code for tool building, statistical analysis, and modelling, using both general-purpose software and statistical languages. The ideal candidate will have endless curiosity and can pair a global mindset with … up which helps manage the entire model lifecycle: feature engineering, model training/evaluation, versioning, deployment/online serving and monitoring prediction quality Data Analysis/Feature Engineering: Apply your expertise to identify and calculate features that can be leveraged by multiple use cases as well as models Model … training with batch and real-time prediction scenarios: Use machine learning and statistical modeling techniques such as Reinforcement Learning,Decision Trees, Logistic Regression, Bayesian Analysis, Neural Networks and others to develop and evaluate algorithms to improve product/system performance, quality and accuracy Low level systems debugging, performance more »