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- Tasks: Analyse large-scale data and contribute to impactful research in ageing.
- Company: Leading research network based in Oxford with a focus on innovation.
- Benefits: Competitive salary, opportunity for professional growth, and collaborative environment.
- Why this job: Make a real difference in ageing research while developing your analytical skills.
- Qualifications: Expertise in statistical methodologies and experience with big data analysis.
- Other info: Fixed-term position for 2 years with exciting research opportunities.
The predicted salary is between 39424 - 47779 £ per year.
A leading research network in Oxford seeks a full-time Epidemiologist for its ‘Ageing’ research group. The ideal candidate will analyze large-scale data from significant biobanks and has extensive expertise in statistical methodologies including Cox and Logistic Regression analyses. You will contribute to shaping research designs, writing articles, and preparing grant applications. The position is fixed-term for 2 years with a salary range from £39,424 to £47,779. Applications close on 24 April 2026.
Epidemiologist - Mendelian MR & Big-Data Analytics in Oxford employer: Haematological Malignancy Research Network
Contact Detail:
Haematological Malignancy Research Network Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Epidemiologist - Mendelian MR & Big-Data Analytics in Oxford
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of epidemiology, especially those involved in big-data analytics. Attend conferences or webinars and don’t be shy to introduce yourself – you never know who might have a lead on your dream job!
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your expertise in statistical methodologies like Cox and Logistic Regression analyses. Use platforms like LinkedIn to share your projects and insights – it’s a great way to catch the eye of potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of large-scale data analysis and research design. Practice common interview questions related to epidemiology and think about how you can demonstrate your problem-solving skills with real-life examples.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Keep an eye on our listings and make sure your application stands out by tailoring it to each role you’re interested in.
We think you need these skills to ace Epidemiologist - Mendelian MR & Big-Data Analytics in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with large-scale data analysis and statistical methodologies. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in Cox and Logistic Regression.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about epidemiology and how your background fits into our ‘Ageing’ research group. We love seeing genuine enthusiasm for the work we do.
Showcase Your Research Experience: Since you'll be contributing to research designs and writing articles, make sure to include any relevant projects or publications. We’re keen to see how you’ve applied your skills in real-world scenarios, so don’t hold back!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Haematological Malignancy Research Network
✨Know Your Data
Make sure you’re well-versed in the large-scale data sets you’ll be working with. Brush up on your experience with biobanks and be ready to discuss specific examples of how you've used statistical methodologies like Cox and Logistic Regression in your previous work.
✨Research the Research Group
Familiarise yourself with the ‘Ageing’ research group’s current projects and publications. This will not only show your genuine interest but also help you tailor your answers to align with their goals and methodologies during the interview.
✨Prepare for Technical Questions
Expect to face technical questions related to statistical analyses and research design. Practise explaining complex concepts in a clear and concise manner, as you may need to demonstrate your analytical thinking and problem-solving skills.
✨Showcase Your Writing Skills
Since you'll be involved in writing articles and grant applications, prepare to discuss your writing experience. Bring along samples of your work or be ready to talk about successful grants you’ve contributed to, highlighting your ability to communicate complex ideas effectively.