Data Analysis Jobs in Ashton-under-Lyne

2 of 2 Data Analysis Jobs in Ashton-under-Lyne

Bioinformatician | Precision Medicine | Remote

Ashton-Under-Lyne, Greater Manchester, United Kingdom
Hybrid / WFH Options
Cubiq Recruitment
Job Title: Bioinformatician Location: Remote Reports to: Head of Bioinformatics About the role A UK-based biotech is looking for a skilled Bioinformatician to support proteomics data analysis and interpretation, as part of a growing team delivering next-generation biomarker discovery and predictive modelling tools for precision medicine. This role offers the opportunity to contribute across the full … lifecycle of clinical research projects – from study design through to publication and patent preparation – while working in close collaboration with wet-lab scientists, data scientists and software engineers. You’ll join a fast-paced, multi-disciplinary environment that values clear scientific thinking and practical problem-solving. Key Responsibilities Analyse proteomics datasets using an internal suite of computational tools Develop … deploying predictive signatures in clinical settings Ideal Candidate PhD (or equivalent experience) in a STEM discipline 3 years experience with statistical or ML methods applied to high-dimensional biological data 2 years experience in proteomic bioinformatics Strong programming skills in R (Python/C++ a bonus) Familiarity with biomarker discovery, LC-MS/MS data analysis, and More ❯
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Pricing Analyst (Fully Remote)

Ashton-Under-Lyne, Greater Manchester, United Kingdom
Hybrid / WFH Options
Arthur Recruitment
performance metrics, including retention rates, loss ratios, gross written premium (GWP), and income, to identify opportunities for improvement Requirements: At least 2 years of experience in a pricing or data analysis role, preferably within the insurance industry Proficiency in data analysis tools such as Excel, SAS, Python, or R Strong knowledge of predictive analytics, machine learning … techniques, and demand modeling High attention to detail, with a keen ability to spot trends and anomalies in large data sets More ❯
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