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- Tasks: Lead data analysis and apply statistical methods to population health datasets.
- Company: Join a world-leading interdisciplinary research group focused on impactful health research.
- Benefits: Enjoy a competitive salary, 41 days off, and generous pension schemes.
- Why this job: Make a real difference in global health while advancing your career in a supportive environment.
- Qualifications: PhD in relevant fields and strong analytical skills required.
- Other info: Be part of a diverse and inclusive culture with excellent growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a Research Associate in Biostatistics 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. The research group is internationally renowned for its data-driven research on spatiotemporal analysis of health data.
You will lead the selection and application of statistical methods, and as relevant adaptation and modification of existing methods, for analysing large heterogeneous population health datasets, and the interpretation of results through statistical and epidemiological perspectives.
You must have a 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 heterogeneous datasets, especially in population health.
- Ability to efficiently manage and combine large quantities of data; excellent coding skills.
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 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 resources to support your personal and professional development.
Research Associate in Biostatistics and Population Health in London employer: Imperial College London
Contact Detail:
Imperial College London Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Associate in Biostatistics and Population Health in London
✨Tip Number 1
Network like a pro! Reach out to professionals in biostatistics and population health through LinkedIn or relevant conferences. We can’t stress enough how personal connections can lead to job opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with large datasets and statistical methods, especially if you’ve tackled real-world problems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of Bayesian statistics and other relevant methods. We recommend practising common interview questions related to data analysis and problem-solving to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who want to contribute to impactful research in population health.
We think you need these skills to ace Research Associate in Biostatistics and Population Health in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Research Associate in Biostatistics and Population Health. Highlight your relevant experience, especially with statistical methods and large datasets, so we can see how you fit into our interdisciplinary research group.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about population health and how your skills align with our mission. We want to know what motivates you and how you can contribute to our high-impact research.
Showcase Your Analytical Skills: In your application, don’t shy away from showcasing your analytical and critical thinking skills. Provide examples of how you've tackled scientific problems in the past, especially using Bayesian statistics or similar methods. We love seeing creativity in problem-solving!
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates regarding your application status.
How to prepare for a job interview at Imperial College London
✨Know Your Stats
Brush up on your statistical methods, especially Bayesian statistics. Be ready to discuss how you've applied these techniques in real-world scenarios, particularly with large datasets. This will show your depth of knowledge and practical experience.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your analytical and critical thinking abilities. Think of specific challenges you've faced in previous research and how you creatively solved them. This will demonstrate your motivation and innovative approach to problem-solving.
✨Familiarise Yourself with the Research Group
Do some homework on the Environment and Global Health Research Group. Understand their recent projects and publications. This will not only help you tailor your answers but also show your genuine interest in their work and mission.
✨Practice Coding Questions
Since coding skills are crucial for this role, be prepared for technical questions or even a coding test. Brush up on relevant programming languages and data management techniques. Practising common coding problems can give you the confidence you need.
