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- Tasks: Conduct groundbreaking research on cancer risk and health utilisation using large datasets.
- Company: Join Queen Mary University of London’s innovative Cancer Early Diagnosis Unit.
- Benefits: Competitive salary, generous leave, flexible working, 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 and familiarity with large healthcare datasets.
- 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 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
✨Tip Number 1
Network like a pro! Reach out to your connections in the health data science field, especially those who might know about opportunities at Queen Mary. A friendly chat can sometimes lead to a foot in the door.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of large healthcare datasets and recent advancements in cancer research. We want to see your passion and expertise shine through!
✨Tip Number 3
Showcase your teamwork skills! Highlight any experience you've had working in multidisciplinary teams, as collaboration is key in this role. We love seeing how you can contribute to a diverse team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we’re always looking for talented individuals like you to join our dynamic team.
We think you need these skills to ace Postdoctoral Research Associate in Health Data Science
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Postdoctoral Research Associate role. Highlight your experience with large healthcare datasets and any relevant projects you've worked on, especially those related to cancer research.
Showcase Your Teamwork Skills: Since this role involves working within multidisciplinary teams, emphasise your collaborative experiences. Share examples of how you've successfully worked with others in medical statistics or health data science.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to describe your qualifications and experiences, making it easy for us to see why you’re a great fit for the team.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way to ensure your application gets the attention it deserves, and you’ll find all the details you need there!
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. Prepare examples of how you’ve mentored others or led projects, and be ready to discuss how you would support and guide less experienced team members.
