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- Tasks: Join a dynamic team to advance cancer detection through innovative research and data analysis.
- Company: Wolfson Institute of Population Health at Queen Mary University of London.
- Benefits: Competitive salary, generous leave, flexible working, and professional development opportunities.
- Why this job: Make a real impact in cancer research while developing your skills in a supportive environment.
- Qualifications: Degree in health data science; PhD for postdoctoral role; experience with healthcare datasets.
- Other info: Collaborate with leading experts in a vibrant, inclusive research community.
The predicted salary is between 38419 - 46618 £ per year.
We are seeking a Research Assistant or Postdoctoral Research Associate to join the Cancer Early Diagnosis Unit. The successful candidate will contribute to Cancer Research UK and NIHR funded projects and undertake research focused on improving our understanding of cancer risk and developing novel models and tools for early detection. This includes working with large healthcare datasets such as CPRD, QResearch, NCRAS and HES to advance the detection of prostate, lung and upper gastrointestinal cancers. The role involves leading an independent project while supporting more junior researchers in data preparation and analysis. You will work within a multidisciplinary, internationally renowned team with expertise in health data science, epidemiology, risk prediction, AI and clinical practice, and will have opportunities to develop your own grant or fellowship applications.
About You
- Undergraduate degree in health data science or a related field.
- For Postdoctoral Research Associate level – PhD (or close to completion) or equivalent research qualification/experience.
- Experience working within multidisciplinary teams and with large healthcare datasets such as CPRD, QResearch, NCRAS or HES.
About the School / Department / Institute / Project
The Wolfson Institute of Population Health (WIPH) is a dynamic environment with over 450 staff, 100 PhD students and approximately 500 postgraduate taught students. It is a centre of excellence in population health, primary care and preventive medicine, organised into six research centres, each with specific objectives yet complementary to the institute’s strategic plan. The Centre for Cancer Screening, Prevention and Early Diagnosis brings together leading researchers in cancer prevention, screening, detection and early diagnosis.
About Queen Mary
At Queen Mary University of London, we believe a diversity of ideas helps us achieve the previously unthinkable. We celebrate social justice, academic excellence, and inclusivity, fostering an environment where diverse perspectives spark original thought.
Benefits
- Competitive salaries.
- Generous pension scheme.
- 30 days’ leave per annum (pro‑rata for part‑time/fixed‑term).
- Season ticket loan scheme.
- Access to a range of personal and professional development opportunities.
- Work‑life balance and family‑friendly policies.
- Flexible working arrangements and campus facilities.
- Inclusive employment policies and reasonable adjustments for candidates with disabilities.
Wolfson Institute Of Population Health employer: GP2 Complex Disease Data Analysis Working Group
Contact Detail:
GP2 Complex Disease Data Analysis Working Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Wolfson Institute Of Population Health
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the Wolfson Institute of Population Health on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your knowledge of health data science and cancer detection. We recommend practising common interview questions and having examples ready that showcase your experience with large datasets.
✨Tip Number 3
Show your passion for the role! When you get the chance to speak with the team, let them know why you're excited about contributing to cancer research. We love candidates who are genuinely enthusiastic about making a difference.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re serious about joining our amazing team at Queen Mary University of London.
We think you need these skills to ace Wolfson Institute Of Population Health
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role at the Wolfson Institute. Highlight your experience with health data science and any relevant projects you've worked on, especially those involving large datasets like CPRD or QResearch.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about cancer research and how your background makes you a great fit for our team. Be sure to mention any specific skills or experiences that align with the job description.
Showcase Your Teamwork Skills: Since you'll be working in a multidisciplinary team, it's important to demonstrate your ability to collaborate. Share examples of past projects where you successfully worked with others to achieve a common goal.
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets to the right place and allows us to keep track of all candidates efficiently. Plus, it’s super easy!
How to prepare for a job interview at GP2 Complex Disease Data Analysis Working Group
✨Know Your Data
Make sure you’re familiar with the large healthcare datasets mentioned in the job description, like CPRD and QResearch. Brush up on how these datasets are used in cancer research, as this will show your understanding of the role and its requirements.
✨Showcase Your Teamwork Skills
Since the role involves working within multidisciplinary teams, be prepared to discuss your previous experiences collaborating with others. Highlight specific projects where you contributed to a team effort, especially in health data science or related fields.
✨Prepare for Technical Questions
Expect questions that assess your technical skills in data analysis and health data science. Review relevant methodologies and tools you’ve used in past research, and be ready to explain how you would apply them to the projects at the Wolfson Institute.
✨Demonstrate Your Passion for Cancer Research
Express your enthusiasm for cancer detection and early diagnosis. Share any personal motivations or experiences that drive your interest in this field, and be ready to discuss how you envision contributing to the Cancer Early Diagnosis Unit’s goals.
