5 of 5 Remote/Hybrid Contract Statistical Modelling Jobs

work across areas including oncology, immunology and neurodegeneration. This role would suit a scientist-turned-coder or scientific data scientist with strong Python skills, statistical modelling experience and a background working with bioassay or experimental biology data. The Role You will build and improve Python-based analytical pipelines … understand assay logic, experimental design and data handover processes, then translate those workflows into automated, reproducible analysis pipelines. The work will involve dose-response modelling, curve fitting, QC, normalisation, plate-level statistics and data validation, helping scientists generate clearer, faster and more reliable insight from complex experimental data. ...

research challenges. The Role and Deliverables Design, build, and maintain Python-based analytical pipelines for a range of experimental and bioassay data. Implement robust statistical and modelling workflows, including quality control, normalisation, and curve fitting. Translate scientific workflows into reproducible, automated analysis processes. Partner closely with laboratory-based … Experience Strong experience using Python for scientific or analytical software development. Proven capability analysing complex, structured experimental or assay-style datasets. Solid understanding of statistical modelling, curve fitting, and data quality control. Experience building end-to-end data or analysis pipelines with a focus on reproducibility. Comfortable using ...

data-driven solutions that make a real impact. Role Overview: Location: Paddington (Hybrid) Package: Day Rate Inside IR35 What You’ll Do: Utilize advanced statistical and mathematical models to analyze intricate datasets, uncover meaningful patterns, and identify key trends. Design and implement rigorous experimentation frameworks, including A/… Skills: Experience in econometrics and difference-in-differences analysis Familiarity with cloud data platforms and visualization tools Knowledge of machine learning algorithms and advanced statistical techniques Previous experience in consulting or client-facing roles Preferred Education and Experience: Bachelor’s or Master’s degree in Statistics, Economics, Computer Science ...

Data environments. Advanced SQL expertise, ideally working with large-scale datasets within Databricks or similar modern data platforms. Strong Python skills for data manipulation, statistical analysis and predictive modelling. Proven experience developing and optimising predictive analytics or revenue-driving data science models. Experience with propensity modelling or customer … growth modelling would be highly beneficial. Strong stakeholder engagement skills with the ability to communicate complex insights clearly to senior business audiences. Comfortable operating within fast-paced, evolving environments with multiple cross-functional stakeholders. This role would suit someone who enjoys combining deep technical data expertise with commercially focused ...

full model development lifecycle from data preparation and feature engineering through to testing, validation, and production deployment. Key Responsibilities * Design, develop, and enhance statistical, predictive, and pricing models using SAS * Build modelling datasets, feature engineering pipelines, and variable transformations * Develop SAS programs using: o Base … Experience across: o SAS Base o SAS Macros o SAS SQL o SAS Enterprise Guide/SAS Studio * Experience developing and deploying predictive or statistical models * Strong understanding of: Regression models , Forecasting, Segmentation , Risk or pricing models * Experience working across the full model development lifecycle * Strong data analysis, transformation ...