At a Glance
- Tasks: Analyse health data to investigate diabetes and frailty in diverse communities.
- Company: Queen Mary University of London, a leader in social justice and academic excellence.
- Benefits: Competitive salary, generous leave, flexible working, and professional development opportunities.
- Other info: Join a multidisciplinary team dedicated to innovative health research.
- Why this job: Make a real impact on health inequalities while advancing your research career.
- Qualifications: PhD or nearing completion in epidemiology, health data science, or related fields.
The predicted salary is between 37125 - 45375 £ per year.
We are seeking a Postdoctoral Research Associate to join a Barts Charity-funded project investigating early-onset type 2 diabetes and mid-life frailty in British Bangladeshi and British Pakistani communities in East London. The postholder will analyse longitudinal data from the Genes & Health study, including linked NHS electronic health records and genomic data. They will prepare analysis-ready datasets, derive and validate frailty measures, undertake longitudinal and trajectory-based statistical analyses, and examine associations with hospitalisation, falls, cardiovascular events and mortality.
The role will also contribute to peer-reviewed publications, conference presentations, patient and public involvement activities, project reporting and the development of reproducible analytical pipelines. You will have a PhD, or be close to completion, in epidemiology, health data science, statistics, bioinformatics or a closely related quantitative discipline. You will have strong practical experience of managing and analysing large-scale longitudinal health data using R, together with knowledge of epidemiological research methods and reproducible analytical practice.
You should be able to work independently, manage competing priorities and communicate findings clearly to academic, clinical and non-specialist audiences. Experience of linked NHS electronic health records, secure research environments, longitudinal modelling, frailty, diabetes, genomic data or polygenic risk scores would be advantageous.
The post will be based in the Centre for Primary Care within the Wolfson Institute of Population Health at Queen Mary University of London. The multidisciplinary project brings together expertise in epidemiology, diabetes, healthy ageing, genomics and population health. Using the Genes & Health cohort, it will investigate whether younger onset type 2 diabetes is associated with an increased burden and faster progression of frailty in mid-life. The project addresses an important health inequality affecting East London's South Asian communities and will generate new methods and preliminary evidence to support future research, earlier risk identification and improved service planning.
At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable. Throughout our history, we've fostered social justice and improved lives through academic excellence. And we continue to live and breathe this spirit today, not because it's simply 'the right thing to do' but for what it helps us achieve and the intellectual brilliance that delivers. We continue to embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.
We offer competitive salaries, access to a generous pension scheme, 30 days' leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities. Queen Mary's commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly.
Postdoctoral Research Associate in Epidemiology and Health Data Science employer: Queen Mary University of London
Queen Mary University of London is an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation within the Business Development team. Employees benefit from competitive salaries, flexible working arrangements, and ample opportunities for professional growth, making it an ideal place for those seeking meaningful and rewarding careers in a supportive academic environment.
Contact Details:
Queen Mary University of London Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Postdoctoral Research Associate in Epidemiology and Health Data Science
✨Get Involved with Local Health Initiatives
Join local community health events or volunteer for organisations like public health agencies. This not only builds your experience but also helps you network with industry professionals who might know of openings at places like Queen Mary University of London.
✨Tap into Professional Associations
Check out associations like the Institute of Healthcare Management. They often have job boards, networking events, and conferences that are perfect for connecting with potential employers in health sciences administration.
✨Stay Updated with Industry Trends
Follow health policy news and trends—being knowledgeable about the current landscape will not only help you in interviews but also make you stand out as a candidate. You can discuss recent developments and their implications when chatting with folks at Queen Mary University of London.
✨Apply Through Our Website for Better Visibility
When you find roles that excite you, especially at places like Queen Mary University of London, don’t forget to apply through our website. This can sometimes give you an edge by showing the employer you’re savvy and committed to finding the right fit.
We think you need these skills to ace Postdoctoral Research Associate in Epidemiology and Health Data Science
Some tips for your application 🫡
Highlight Your Relevant Experience:When applying for a role in health sciences administration, it's super important to spotlight any relevant experience you have in healthcare settings. Whether you've worked in a hospital, a clinic, or any related environment, make sure to detail those roles in your CV – focusing on your responsibilities and achievements that align with the job at Queen Mary University of London.
Showcase Your Administrative Skills:Administrative skills are key in this field, so don’t hold back! Make sure your CV reflects your proficiency in things like scheduling, data management, and compliance with health regulations. Mention specific software you’ve used, such as patient management systems, as this will demonstrate your hands-on abilities and readiness for the role at Queen Mary University of London.
Craft a Meaningful Cover Letter:Your cover letter should reflect your passion for the health sciences field and your eagerness to contribute to Queen Mary University of London. Share a bit about why you’re drawn to this sector, any impactful situations or challenges you’ve encountered, and how they’ve shaped your desire to work in health sciences administration. This personal touch can really set you apart!
Tailor Your Documents to the Job:Don't use a one-size-fits-all approach! Make sure your CV and cover letter are specifically tailored for this role. Highlight any certifications you have relevant to health administration, and ensure you clearly connect your previous roles to the skills needed for the full-time position at Queen Mary University of London. This way, you're showing them you’ve done your homework and are genuinely interested in being a part of their team.
How to prepare for a job interview at Queen Mary University of London
✨Showcase Your Administrative Skills
In health sciences administration, being organised is key. Make sure you can demonstrate your skills in managing schedules, paperwork, and data accurately. Be ready to discuss specific tools you've used, like electronic health record systems or scheduling software, and how they improved efficiency in your past experiences.
✨Know Your Regulations
Familiarity with healthcare regulations and compliance is crucial. Brush up on HIPAA, GDPR, or other relevant policies before your interview. We recommend preparing examples of how you've ensured compliance or handled sensitive information in past roles—this will show you're not just knowledgeable but also responsible.
✨Prepare for Scenario Questions
Interviews for administrative roles often involve scenario-based questions to assess your problem-solving skills. Practice responses to common situations you might face, such as dealing with a challenging patient or managing a sudden schedule change. This will not only demonstrate your ability to think on your feet but also highlight your interpersonal skills.
✨Align Your Goals with the Organisation
As a full-time candidate, employers will want to know how your long-term career goals align with their mission. Take some time to research Queen Mary University of London’s values and be ready to tie your passion for health sciences administration into their objectives. Demonstrating enthusiasm and career alignment can be a game-changer in this competitive field!
