Job Summary Table of Biostatistics

📑 Job Description Summary

This biostatistics research position focuses on analyzing trends and patterns of health outcomes and risk factors across multiple global populations. The successful candidate will collaborate with the World Health Organization and scientists worldwide, applying advanced statistical methods to complex multi-dimensional data.

🧪 Biostatistics Research Overview

The School of Public Health at Imperial College London is at the forefront of analyzing population health data to understand global health trends. This research associate position offers a unique opportunity to work on projects with significant real-world impact. The data-driven research requires careful selection and application of advanced statistical methods to analyze complex multi-dimensional health data from diverse populations around the world.

Working within a collaborative environment, you’ll be interfacing with the World Health Organization and a network of international scientists. Your analytical skills and statistical expertise will directly contribute to understanding global health challenges and informing potential solutions.

🔬 Key Responsibilities

• Lead the selection and application of advanced statistical methods for analyzing large heterogeneous population health datasets
• Adapt and modify existing statistical approaches to address unique research challenges in global health
• Evaluate and interpret results through both statistical and epidemiological perspectives
• Manage and combine large quantities of population health data efficiently
• Implement Bayesian hierarchical models and other complex statistical methodologies
• Collaborate with international partners including the World Health Organization
• Contribute to research publications and presentations at international conferences
• Support the development of new methodological approaches as needed

📊 Essential Skills and Qualifications

The ideal candidate for this biostatistics position will possess:

• PhD or equivalent in statistics, biostatistics, applied mathematics, mathematical demography, statistical epidemiology or a related methodological discipline
• Substantial experience implementing and applying statistical methods and models, especially Bayesian hierarchical models
• Proven track record in managing and analyzing large, multi-dimensional real-world datasets
• Exceptional analytical and critical thinking skills for tackling complex scientific problems
• Deep knowledge and intuition of statistical methods and their practical applications
• Motivation and creativity for problem-solving in population health contexts
• Excellent coding abilities and proficiency with statistical software
• Strong communication skills for collaborating with international partners
• Publication history in relevant peer-reviewed journals is highly desirable

💼 Benefits and Perks

Imperial College London offers an excellent benefits package to support your career and wellbeing:

• Competitive salary range of £48,056 – £56,345 per annum
• Generous annual leave allowance (39 days off per year)
• Comprehensive pension schemes
• Access to Imperial’s sector-leading dedicated career support for researchers
• Opportunities for promotion and career progression at a world-leading institution
• Diverse, inclusive and collaborative work culture
• Various staff networks and resources to support your personal and professional wellbeing
• Hybrid working arrangement based at the White City Campus
• Chance to contribute to science for humanity as part of Imperial’s mission

🏢 About Imperial College London

Imperial College London is a world-leading science-based institution with a reputation for excellence in teaching and research. The university focuses on science, engineering, medicine, and business, with particular emphasis on applying these fields to solve real-world problems.

The School of Public Health, where this position is based, is internationally renowned for its research on improving global health outcomes. Working at Imperial means joining a community dedicated to making meaningful contributions to science and society.

🌱 Career Growth Opportunities

This role offers exceptional prospects for career development:

• Work alongside world-leading experts in biostatistics and population health
• Gain access to Imperial’s dedicated career support services for researchers
• Develop advanced skills in statistical methodology and data analysis
• Build an international network through collaborations with WHO and global scientists
• Opportunities for publication in high-impact journals
• Clear pathways for promotion and progression within the institution

🤝 Diversity, Equity, Inclusion, and Belonging

Imperial College London is committed to equality, diversity and inclusion. The university strives to create a welcoming environment where everyone can achieve their potential regardless of background. Various staff networks and resources are available to support personal and professional wellbeing.

⚖️ Equal Opportunity Statement

Imperial College London is proud to be an equal opportunities employer and is committed to creating an inclusive working environment. The university welcomes and encourages applications from candidates typically underrepresented in scientific research.

🏠 Remote Work Policy

This is a hybrid position based at the White City Campus. While specific remote work details aren’t provided in the job posting, Imperial offers flexible working arrangements that balance on-site collaboration with remote work options.

📝 Application Process

1. Review the full job description and requirements
2. Prepare your CV/resume and supporting documents
3. Submit your application through Imperial College London’s job portal
4. If shortlisted, participate in the interview process

⏰ Application Deadline

Applications must be submitted by June 13, 2025.

📮 How to Apply

To apply for this position, please visit the Imperial College London jobs portal and follow the application instructions.

For further details about this biostatistics research role, please contact Professor Majid Ezzati at majid.ezzati@imperial.ac.uk.

❓ Additional Information

This is a fixed-term contract position for up to 2 years, working full-time (35 hours per week). Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.

Additional documents are available for download on the official job posting: “Population health stats post doctoral Job Description.pdf” and “Employee Benefits Booklet.pdf”.

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