Imperial College London

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Research Associate in Biostatistics and Population Health @ Imperial College London

London, HybridHybridContractPosted 118 days ago

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About this role

About the role:

We are seeking a Research Associate in (Bio)statistics and Population Health to join a leading interdisciplinary research group and contribute to high-impact data-driven research in population health. The overall theme of the research is analysing trends and patterns of health outcomes and risk factors in multiple populations

The position will be in the Environment and Global Health Research Group (www.globalenvhealth.org). The research group is internationally renowned for its data-driven research on spatiotemporal analysis of health data.

What you would be doing:

You will lead the selection and application of statistical methods, and as relevant adaptation and modification of existing methods, for analysing large heterogenous population health datasets, and the interpretation of results through statistical and epidemiological perspectives.

What we are looking for:

You must have

PhD or equivalent in statistics, biostatistics, applied mathematics, mathematical demography, statistical epidemiology or a related methodological discipline. Exceptional analytical and critical thinking about scientific problems. Deep knowledge and intuition of statistical methods, especially Bayesian statistics, and their application to real-world data. Motivation and creativity for problem solving. Experience with large heterogenous datasets, especially in population health, Ability to efficiently manage and combine large quantities of data; excellent coding skills.

What we can offer you:

The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity. Grow your career: gain access to Imperial’s sector-leading dedicated career support for researchers as well as opportunities for promotion and progression. Sector-leading salary and remuneration package (including 41 days off a year and generous pension schemes). Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing.

Further Information

This is a full time post (35 hours per week).

This role is for a fixed-term contract for 24 months.

If you require any further details about the role, please contact: Majid Ezzati – [email protected]

Skills

BiologyHigher EducationOther Biological SciencesAcademic or ResearchAcademicMathematics & StatisticsStatisticsBiological SciencesMathematics

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