5 of 5 Statistical Analysis Jobs in Bath

Statistician Who you are... You’re an early-career statistician who’s proficient in R, a working knowledge of data analysis and management solutions such as Python and SQL would be ideal. Your background is in clinical, healthcare, health services, or pharmaceutical research background, and when we talk about … the intricacies of statistical analysis plans and quality control logs, you’ll know exactly what we mean. But this is an early-career role: we aren’t expecting you to be an expert on every little statistical thing. You want this role because of how much you … quickly. You’ve got some experience in managing research datasets, ideally complex ones. This has given you the necessary knowledge about data manipulation and statistical analyses, data quality checking and cleaning, and working in a data management setting. You’ve got an interest in real-world studies and patient More ❯

transforming raw data into actionable insights that can influence strategic direction. As a Data Analyst, you will collaborate closely with various departments, leveraging advanced statistical techniques and tools to provide in-depth reports and forecasts. Your contributions will play a crucial role in understanding market trends, customer behaviours, and … to stakeholders and guide them in implementing data-driven strategies. Requirements The ideal person for this role will have previous experience covering the collection, analysis and processing of data, data from various sources to identify trends and patterns, with the ability develop and maintain dashboards and reports to visualize … performance indicators (KPIs). You will be required to collaborate with cross-functional teams to understand their data needs and provide analytical support, use statistical methods to solve problems and improve processes across our group while continuing to ensure data integrity and accuracy by regularly validating and cleaning sets. More ❯

algorithms Develop pre-processing pipelines to clean, transform, and prepare data for modelling Apply advanced techniques, including NLP and deep learning, where appropriate Conduct statistical analysis and hypothesis testing to validate assumptions Lead discovery workshops to understand client needs and define future-state solutions Translate business problems into More ❯

discovered and analysed. As the company scales, it’s looking for a Bioinformatic Software Engineer to lead the build-out of cloud infrastructure and analysis pipelines critical to its technology platform. This is an opportunity to join a growing, cross-functional team working on meaningful challenges in biology and … and scientific discovery. Bioinformatic Software Engineer responsibilities Design, develop, optimise, and maintain cloud computing environments for bioinformatic data processing. Build scalable, well-documented data analysis pipelines for long-read RNA sequencing workflows. Develop and implement logging, reporting, and data archiving systems to support reproducible research. Lead software engineering best … the business. Bioinformatic Software Engineer requirements: Proven software engineering and DevOps experience within a research or R&D setting. Strong understanding of sequencing data analysis, particularly read alignment and variant calling algorithms. Degree educated in Computer Science, Bioinformatics, or a related field. At least 3 years' relevant experience, ideally More ❯

scalable pricing solutions and continuously monitor performance. Key Responsibilities Develop and refine ML-driven pricing models to enhance risk assessment and profitability. Apply advanced statistical and machine learning techniques to optimize pricing accuracy. Automate and streamline pricing model deployment for continuous improvement. Collaborate with key stakeholders across engineering, product … business value. Ensure regulatory compliance while fostering innovation in pricing methodologies. What We’re Looking For Strong expertise in Python and SQL for data analysis and model development. Experience with pricing models, actuarial techniques, or risk modeling. Deep understanding of machine learning algorithms, predictive modeling, and statistical analysis. More ❯