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- Tasks: Conduct groundbreaking research on cancer risk and health utilisation using large datasets.
- Company: Join Queen Mary University of London, a leader in population health research.
- Benefits: Enjoy competitive salary, generous leave, and professional development opportunities.
- Why this job: Make a real difference in cancer prevention and early diagnosis while advancing your career.
- Qualifications: PhD or equivalent experience in health data science or related field required.
- Other info: Collaborate with a diverse, multidisciplinary team in a dynamic research environment.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a Postdoctoral Researcher to join our thriving Cancer Early Diagnosis Unit to undertake research focused on understanding the future risk of cancer and health utilisation following urgent suspected cancer referral. The role includes contributing to a Bowel Cancer UK funded project, using large healthcare datasets to inform initiatives aimed at prevention and early diagnosis of bowel cancer. The successful candidate may supervise more junior researchers in statistical analysis or data preparation. They will be supported by a multidisciplinary internationally renowned team with diverse expertise including health data science, epidemiology, behavioural science, risk prediction, and clinical practice. They will also be supported to develop their career and build grant or fellowship applications.
Responsibilities
- Undertake research focused on understanding the future risk of cancer and health utilisation following urgent suspected cancer referral.
- Contribute to a Bowel Cancer UK funded project, using large healthcare datasets (e.g., CPRD) to inform prevention and early diagnosis of bowel cancer.
- Supervise more junior researchers in statistical analysis or data preparation (as applicable).
Qualifications
- PhD (or close to completion) or research qualification/experience equivalent to PhD level in health data science or a related field.
- Experience working within multidisciplinary teams, in medical statistics or an equivalent quantitative discipline.
- Experience in the analysis of large healthcare datasets (such as CPRD, QResearch, NCRAS or HES).
About Queen Mary
The Wolfson Institute of Population Health (WIPH) is an exciting and dynamic environment, home to more than 450 staff, 100 PhD students and around 500 postgraduate taught students. It harnesses expertise across a wide range of population-based research and education activities and aims to be an internationally recognised centre of excellence in population health, primary care and preventive medicine. The Institute is organised into six research centres with Centre-specific objectives and requirements.
The Centre for Cancer Screening, Prevention and Early Diagnosis (CCSPED) forms part of the WIPH and brings together globally leading researchers focusing on cancer prevention, cancer screening and detection and early diagnosis across three units, including the CRUK-funded Cancer Prevention Trials Unit (CPTU, Director - Sasieni). CCSPED also hosts the cross-cutting Cancer Behavioural Science group.
Benefits and Inclusion
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. We also offer work life balance and family-friendly, inclusive employment policies, flexible working arrangements, and campus facilities. Queen Mary’s commitment to a 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 Health Data Science in London employer: Queen Mary University of London
Contact Detail:
Queen Mary University of London Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoctoral Research Associate in Health Data Science in London
✨Network Like a Pro
Get out there and connect with people in your field! Attend conferences, workshops, or even local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Show Off Your Skills
Don’t just sit back and wait for opportunities to come to you. Create a portfolio showcasing your research projects and data analysis skills. We recommend sharing it on platforms like LinkedIn or ResearchGate to grab the attention of potential employers.
✨Ace the Interview
When you get that interview, prepare to shine! Research the team and their projects, and think about how your experience aligns with their goals. We suggest practising common interview questions and having a few thoughtful questions ready to ask them too.
✨Apply Through Our Website
We’ve got a range of exciting opportunities waiting for you! Make sure to apply through our website for the best chance at landing a role with us. It’s a straightforward process, and we’re here to support you every step of the way!
We think you need these skills to ace Postdoctoral Research Associate in Health Data Science in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Postdoctoral Research Associate. Highlight your experience with large healthcare datasets and any relevant projects you've worked on, especially those related to cancer research.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about health data science and how your background fits with our Cancer Early Diagnosis Unit. Be specific about your skills and experiences that align with the job description.
Showcase Your Teamwork Skills: Since we value multidisciplinary collaboration, mention any experiences where you’ve worked in diverse teams. Highlight your ability to supervise junior researchers and contribute to a supportive team environment.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at Queen Mary University of London.
How to prepare for a job interview at Queen Mary University of London
✨Know Your Data Inside Out
Make sure you’re familiar with the large healthcare datasets mentioned in the job description, like CPRD or QResearch. Brush up on your statistical analysis skills and be ready to discuss how you've used these datasets in past research.
✨Showcase Your Multidisciplinary Experience
Highlight any experience you have working in multidisciplinary teams. Be prepared to share specific examples of how you collaborated with professionals from different fields, especially in health data science or epidemiology.
✨Prepare for Technical Questions
Expect technical questions related to health data science and statistical methods. Review common statistical techniques and be ready to explain how they apply to cancer risk prediction and health utilisation.
✨Demonstrate Leadership Potential
Since the role involves supervising junior researchers, think about your leadership style and experiences. Prepare to discuss how you would support and guide others in their statistical analysis or data preparation tasks.
