5 of 5 Permanent Statistical Inference Jobs

normalization, market and product data to support biopharma commercial product launches, and complex quant and qual research projects. This role is also responsible for GenerativeAI product development, applying complex statistical methods to a range of pharmaceutical market research data and utilizing rigorous testing methods. Statistical analysis/modelling of multiple data sources: research design (e.g. experiment/survey … data: normalize and ingest data into a range of platforms to aid the use of data by custom AI language models Work on the design and implementation of advanced statistical modeling and market research techniques , such as segmentation, demand assessment, choice-based modeling, statistical inference, and predictive modeling, contributing to the development of new analytics capabilities. Articulate … advanced statistical and data science modelling features into (software) product requirements. Work as an integrated effective team member of a software development process. Qualifications Strong degree (2:1) in any analytics related field (e.g. statistics, mathematics, physics, engineering) subject and/or professional qualification. 5+ years' experience in research or professional data science-driven services organization 5 years' experience More ❯

Summary Summary: Performs analysis of complex healthcare and varied data to develop innovations for pressing healthcare delivery challenges through visualization, machine learning, optimization, and statistical inference solutions. Analyzes and models structured data and implements algorithms to support analysis using advanced statistical and mathematical methods from statistics, machine learning, data mining, and predictive modeling. Develops descriptive and predictive … understands how to make trade-offs between methods. Key Responsibilities: Data Collection and Cleaning: Collects and cleans data from various sources, ensuring data quality and integrity. Data Analysis: Applies statistical and machine learning techniques to identify patterns, trends, and insights in the data. Model Development: Assists in the development of predictive models, algorithms, and statistical analyses to solve More ❯

technical ideas, regardless of the technical capacity of the audience. • Strong inter-personal skills and ability to work as part of a team. • Knowledge of the mathematical foundations of statistical inference and forecasting such as time series analysis, multivariate analysis, cluster analysis, and optimization. • Ability to quickly learn and adapt modeling methods from case studies or other proven More ❯

technical ideas, regardless of the technical • capacity of the audience; • Strong inter-personal skills and ability to work as part of a team; • Knowledge of the mathematical foundations of statistical inference and forecasting such as time series analysis, multivariate analysis, cluster analysis, and optimization; • Ability to quickly learn and adapt modeling methods from case studies or other proven More ❯

to design and deploy machine learning services that are accessible via APIs for use in GUIs or direct access. Research, analyse and apply data sets using a variety of statistical and machine learning techniques. Support the analytical needs of the technical team inclusive of cleansing, mapping, statistical inferences, feature engineering and the bespoke data visualisation methods required by More ❯