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- Tasks: Research cancer risk using large healthcare datasets and collaborate with a multidisciplinary team.
- Company: Leading UK university known for innovative research in health data science.
- Benefits: Competitive salary, generous leave, flexible working arrangements, and professional development opportunities.
- Why this job: Make a real impact in early cancer diagnosis through cutting-edge research.
- Qualifications: PhD in health data science or related field and experience in medical statistics.
- Other info: Join a dynamic team and contribute to groundbreaking health research.
The predicted salary is between 36000 - 60000 £ per year.
A leading university in the UK is seeking a Postdoctoral Research Associate in Health Data Science. The role focuses on researching cancer risk utilizing large healthcare datasets and involves collaborating with a multidisciplinary team.
Ideal candidates will have a PhD in health data science or a related field and experience in medical statistics.
The position offers competitive salaries, generous leave, flexible working arrangements, and opportunities for professional development.
Postdoc: Health Data Science for Early Cancer Diagnosis in London 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 Postdoc: Health Data Science for Early Cancer Diagnosis in London
✨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 universities. A friendly chat can sometimes lead to job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio or presentation that highlights your research and projects related to cancer risk and healthcare datasets. This will give you an edge during interviews and show how you can contribute to the team.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your responses, especially around medical statistics and your PhD work. The more comfortable you are, the better you'll perform when it counts.
✨Tip Number 4
Don't forget to apply through our website! We have loads of resources and tips to help you land that postdoc position. Plus, applying directly can sometimes give you a leg up in the selection process.
We think you need these skills to ace Postdoc: Health Data Science for Early Cancer Diagnosis in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your PhD in health data science and any relevant experience in medical statistics. We want to see how your background aligns with the role, so don’t be shy about showcasing your skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about early cancer diagnosis and how your research can contribute to our multidisciplinary team. Keep it engaging and personal!
Showcase Your Research Experience: In your application, emphasise any previous research projects you've worked on, especially those involving large healthcare datasets. We love seeing how you’ve tackled complex problems and what you’ve learned along the way.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it’s super easy to do!
How to prepare for a job interview at GP2 Complex Disease Data Analysis Working Group
✨Know Your Data Inside Out
Make sure you’re well-versed in the healthcare datasets relevant to cancer research. Brush up on your knowledge of medical statistics and be ready to discuss how you've applied these skills in past projects.
✨Showcase Your Collaborative Spirit
This role involves working with a multidisciplinary team, so highlight your teamwork experiences. Prepare examples of how you’ve successfully collaborated with others in research settings, especially in health data science.
✨Prepare for Technical Questions
Expect questions that test your technical expertise in health data science. Review common statistical methods and tools used in cancer risk assessment, and be ready to explain your thought process when analysing data.
✨Express Your Passion for Cancer Research
Let your enthusiasm for early cancer diagnosis shine through. Share why this area of research matters to you and how you envision contributing to advancements in the field during your postdoc.
