Do you have a strong foundation in medical statistics ideally in registries, experience in statistical coding, and a passion for using data to drive research in cardiovascular health? 

We’re supporting one of our clients, a renowned healthcare institute, in their search for a Statistician. 

As part of a small, dynamic and growing team, you will have the opportunity to work with other statisticians and medical writers, as well as directly with leading clinicians and multi-disciplinary team members. You will play a crucial role in supporting research that is aimed at improving cardiovascular health outcomes. Working closely with cross-functional teams you will analysing real-world evidence and apply statistical methodologies to derive meaningful insights.

Note this is a permanent full-time position working directly for our client who are based in West London. You will need to work from their offices on three days a week. 

Key Responsibilities:

• Collaborate on current clinical research projects, help with the design of new clinical studies and publish research in clinical scientific journals
• Apply statistical techniques to analyse real-world evidence related to thrombosis and cardiovascular health
• Assist in the design and execution of experiments or studies related to cardiovascular health outcomes
• Be part of the clinical research fellowship program, designed to educate clinicians in research methodology
• Develop and maintain statistical models to support research initiatives
• Clean, prepare, and validate data for statistical analysis
• Utilise statistical software, with a preference for SAS, to conduct data analysis and create visualisations
• Prepare clear and concise reports and presentations to communicate findings to non-technical stakeholders
• Stay up-to-date with industry trends and advancements in statistical methodologies
• Support acquisition and implementation of new information sources, data collection strategies, and analytics
• Help staff with data manipulation and analytic methods to improve analytic deliverables when required.

Skills and Experience Required:

• A master’s degree in an area pertinent to the subject area, e.g. statistics, epidemiology, predictive modelling techniques, etc. Candidates with a Bachelor’s degree with extensive working experience will also be considered
• Strong knowledge of statistical concepts and methodologies
• Proficiency in statistical coding, with a preference for SAS. Experience with R, Python, or other statistical software will also be considered
• Good oral and written communication skills
• Proven publication track-record in one or more of the following areas: statistics, machine learning, computational optimisation, open source software, predictive analytics, clinical research
• Ability to apply data mining techniques and statistical modelling to large amounts of population health data to discover optimal treatment and utilization patterns that can lead to improved health outcomes.

If this opportunity suits your skills and experience, and you would like to find out more, please apply today!

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