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Advanced quantitative analyst

Dublin
beBeeResearcher
Quantitative analyst
Posted: 8 September
Offer description

Key Researcher Position

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The RCSI is a leading community of academic, research, clinical and professional staff who work collaboratively to lead the world to better health. We are seeking a highly skilled Senior Postdoctoral Researcher who will thrive in an innovative and inclusive atmosphere where personal development and wellbeing are supported.

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This position will be based at our main St Stephen's Green campus under the guidance of Principal Investigator Dr Rob Argent and a wider project team. You will work as an integral part of a neurology research team investigating the use of non-invasive digital measures in the diagnosis and long-term monitoring of patients with Multiple Sclerosis (MS).

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As a Senior Postdoctoral Researcher, your key responsibilities include conducting all aspects of data management and analysis of this project and publication preparation within this project. This will include assisting with project management and coordination, data management and analysis, and attendance to relevant meetings. Training on the study protocol and measures will be provided alongside support from experienced researchers in neurology and digital health.

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You will have responsibility for ensuring data accuracy and consistency through cleaning and transformation to prepare for data analysis. You will also work closely with clinical, academic and industry partners in the research team to align data analysis and interpretation with project goals. Additionally, you will oversee the timeline and deliverables of data analysis of the project, ensuring milestones are met and aligned with the broader project objectives.

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For this role, we require a PhD in a discipline with a quantitative background, including statistics, data science, health science, epidemiology or a related area. Experience in data management and analysis, preferably with health data or in a clinical setting, is essential. Strong technical skills in statistical programming, including with R, Python or other software for interrogating data, are required.

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The appointee will have ability to apply advanced statistical techniques/tools for data visualisation and analysis. A proven track record of managing data in compliance with GDPR and other data protection standards is necessary. Excellent communication skills, capable of effectively interacting with a diverse group of technical and non-technical stakeholders, are required. Ability to work independently and collaboratively in a fast-paced, research-oriented environment is essential.

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A self-starter with the ability to work effectively as part of a team; shares work and information; establishes rapport, can influence and develop effective networks. Has a pro-active approach to work, anticipating and resolving problems in advance; has keen attention to detail, from anticipating and addressing issues in advance to understanding requests and delivering quality work with minimal errors. Flexibility: can operate flexibly within a busy environment, can shift focus when required.

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