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 »
essential. Responsibilities Lead a small team of data analysts Present in a clear and engaging manner to clients Build models by employ various data analysis techniques and statistical methodologies such as regressionanalysis, cluster analysis, factor analysis/principal component analysis, experimental designs using 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 regressionanalysis, 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 »
commercial acumen that generates actionable business insights from data. • Skills in Microsoft Excel (e.g. Pivot tables or VBA etc.), correlation analytics and/or regression analysis. For an informal discussion and full job on the role, please apply with CV. New Role: Commercial Analytics Manager Location: Central London (onsite more »
commercial acumen that generates actionable business insights from data. • Skills in Microsoft Excel (e.g. Pivot tables or VBA etc.), correlation analytics and/or regression analysis. For an informal discussion and full job on the role, please apply with CV. New Role: Commercial Analytics Manager Location: Central London (onsite more »
bolstering revenue from existing contracts and facilitating the pursuit of fresh business ventures. Leverage historical records and descriptions of engineering tasks and equipment, employing regressionanalysis or alternative estimating techniques to formulate parametric evaluations and cost analysis, or to generate estimates encompassing labour, materials, and other miscellaneous 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 »
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 »
