Research Associate in (Bio)statistics and Population Health

Imperial College London; London; On-site; GBP 35,000 - 50,000; Full time

Job summary

A leading research institution seeks a Research Associate in (Bio)statistics and Population Health to analyze health trends using advanced statistical methods. The role promises professional growth in a collaborative environment, backed by a comprehensive remuneration package, including 39 days of annual leave and strong support for career development.

Benefits

39 days off a year

Generous pension schemes

Access to sector-leading resources

Diverse, inclusive work culture

Qualifications

• PhD in statistics, biostatistics, applied mathematics, or similar.
• Experience with Bayesian hierarchical models and real-world datasets.
• Desire to grow career in Biostatistics and Population Health.

Responsibilities

• Lead application of statistical methods for population health datasets.
• Evaluate and interpret results through statistical and epidemiological perspectives.

Skills

Analytical thinking

Critical thinking

Statistical methods

Bayesian statistics

Data management

Coding skills

Education

PhD or equivalent in statistics or related field

Job description

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Research Associate in (Bio)statistics and Population Health, London

Client: Imperial College London

Location: London, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Reference: 9b56ce147c02

Job Views: 5

Posted: 29.05.2025

Expiry Date: 13.07.2025

Job Description:

The overall theme of the research is analysing trends and patterns of health outcomes and risk factors in multiple populations. The research is highly data-driven and requires careful selection and application of advanced statistical methods to complex multi-dimensional data. It involves collaborations with the World Health Organization and scientists from most of the world’s countries.

Do you have 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, and ability to efficiently manage and combine large quantities of data; excellent coding skills; and a desire to develop your career in Biostatistics and Population Health?

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 evaluation and interpretation of results through statistical and epidemiological perspectives.

We are seeking a Research Associate with:

• PhD or equivalent in statistics, biostatistics, applied mathematics, mathematical demography, statistical epidemiology, or a related methodological discipline;
• Substantial experience with implementation and application of statistical methods and models, especially Bayesian hierarchical models;
• Experience managing and analyzing large, multi-dimensional real-world datasets;
• A commitment to advancing science for humanity at a world-leading institution;
• Opportunities for career growth, access to Imperial’s resources, and prospects for promotion;
• Sector-leading salary and remuneration package (including 39 days off a year and generous pension schemes);
• Be part of a diverse, inclusive, and collaborative work culture with various resources to support your personal and professional growth.