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Research Assistant in Epidemiology/Statistics - Job Opportunity at Imperial College London

White City, United Kingdom
Full-time
Mid-level
Posted: January 23, 2025
Hybrid
GBP 43,003-46,297 per year

Benefits

Comprehensive pension scheme with employer contributions
39 days annual leave
Career development support through Imperial's researcher program
Access to world-class research facilities
Hybrid working arrangements

Key Responsibilities

Lead data analysis for the FHSC registry focusing on cardiovascular disease in FH patients
Investigate metabolic risk factors in relation to cardiovascular outcomes
Conduct machine learning analyses using UK Biobank data
Develop and pursue independent research questions
Collaborate with international research teams across 70+ countries

Requirements

Education

Master's degree in epidemiology or statistics with biological/health sciences background

Required Skills

Strong quantitative and analytical skills Intellectual curiosity to develop research questions Data analysis expertise Background in biological or health sciences
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Sauge AI Market Intelligence

Industry Trends

Growing emphasis on large-scale health data analytics in cardiovascular research Increasing integration of machine learning in epidemiological studies Rising focus on genetic conditions and personalized medicine approaches Expansion of international health registries and collaborative research networks

Salary Evaluation

The offered salary range of £43,003-46,297 is competitive for academic research positions in London, aligning with Russell Group universities' pay scales. For similar roles in the private sector, compensation typically ranges £45,000-55,000.

Role Significance

Typically part of a specialized research team of 5-10 members within a larger academic department
Mid-level research position with significant analytical responsibility and potential for independent research development

Key Projects

Global FH registry data analysis and interpretation Machine learning applications in cardiovascular disease prediction Population-level health data mining and pattern recognition International collaborative research initiatives

Success Factors

Strong statistical analysis and interpretation capabilities Ability to work independently while contributing to team objectives Understanding of both clinical and data science aspects of research Effective communication skills for international collaboration Adaptability to evolving research methodologies

Market Demand

High demand with steady growth projected. The combination of epidemiology, statistics, and machine learning skills is increasingly sought after in both academic and commercial research settings.

Important Skills

Critical Skills

Advanced statistical analysis skills for complex health data Understanding of cardiovascular disease epidemiology Programming skills for large dataset manipulation Research methodology expertise

Beneficial Skills

Machine learning algorithm implementation International project management Grant writing experience Clinical data interpretation

Unique Aspects

Access to one of the world's largest FH patient registries
Combination of traditional epidemiology with modern machine learning approaches
Global research network involvement
Position at intersection of clinical and data science

Career Growth

2-3 years in role with potential for advancement based on research output and funding success

Potential Next Roles

Senior Research Associate Data Science Team Lead Clinical Research Manager Epidemiology Specialist Academic Faculty Position

Company Overview

Imperial College London

Imperial College London is a world-leading science-focused institution, consistently ranked among the top 10 universities globally

Premier research institution with exceptional funding and resources, particularly strong in STEM fields
Major player in London's academic and research ecosystem with significant international influence
Research-intensive environment emphasizing innovation, collaboration, and academic excellence
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