Statistician – Registry Studies

We have an urgent contract role for a Statistician with strong Registry study experience, working at our client's site in London. Our client is a renowned institution dedicated to advancing research in laboratory studies, randomized clinical trials, and large international observational registries. We are seeking an enthusiastic and highly motivated individual to join our Biostatistics team. You will work closely with cross-functional teams to analyse real-world evidence and apply statistical methodologies to derive meaningful insights. This position requires a strong foundation in statistics, experience in statistical coding, and a passion for using data to drive research in cardiovascular health. 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 our 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. Desired Skills and Experience: 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. Candidates will need to have current and valid eligibility to work in the UK in order to be considered for this role.

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