At a Glance
- Tasks: Analyse datasets to improve head-and-neck cancer risk stratification.
- Company: Join the London School of Hygiene & Tropical Medicine, a leader in public health research.
- Benefits: Enjoy a competitive salary, 30 days annual leave, and pension membership.
- Other info: Fixed-term role until February 2028 with opportunities for impactful research.
- Why this job: Make a real difference in cancer research while advancing your data science skills.
- Qualifications: Postgraduate degree required; doctoral degree preferred in data science or related fields.
The predicted salary is between 45728 - 51872 £ per year.
The London School of Hygiene & Tropical Medicine is hiring a Research Fellow in Data Science and Statistics to work on a multi-centre research programme improving head-and-neck cancer risk stratification. The role involves analysing linked datasets and requires expertise in data science, statistics, and epidemiology.
Applicants should hold a postgraduate degree, with a preference for a doctoral degree. This full-time position is fixed-term until 29 February 2028, based in London. Salary is between £45,728 and £51,872 per annum plus benefits including annual leave of 30 days pro rata and pension membership.
Data Science Fellow — Cancer Risk Stratification employer: LONDON SCHOOL OF HYGIENE & TROPICAL MEDICINE
The London School of Hygiene & Tropical Medicine is an exceptional employer, offering a collaborative and innovative work culture that prioritises research excellence and employee development. With generous benefits such as 30 days of annual leave and a supportive environment for professional growth, this role in the heart of London provides a unique opportunity to contribute to impactful cancer research while advancing your career in data science.
Contact Details:
LONDON SCHOOL OF HYGIENE & TROPICAL MEDICINE Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Fellow — Cancer Risk Stratification
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of data science and cancer research. Attend relevant events or webinars, and don’t be shy to ask for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those related to health or epidemiology. This will give potential employers a taste of what you can do and how you approach real-world problems.
✨Tip Number 3
Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with linked datasets and statistical methods. We recommend practising common data science interview questions to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. So, get that application in and let’s make it happen!
We think you need these skills to ace Data Science Fellow — Cancer Risk Stratification
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your data science and statistics expertise. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or experiences!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about cancer risk stratification and how your background makes you a perfect fit for this role. Keep it engaging and personal!
Showcase Your Research Skills:Since this role involves analysing linked datasets, be sure to mention any relevant research experience. We love seeing how you’ve tackled complex data problems in the past, so share those stories!
Apply Through Our Website:We encourage you to apply directly 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!
How to prepare for a job interview at LONDON SCHOOL OF HYGIENE & TROPICAL MEDICINE
✨Know Your Data Science Stuff
Make sure you brush up on your data science and statistics knowledge. Be ready to discuss specific methodologies you've used in past projects, especially those related to cancer risk stratification. Familiarise yourself with the latest trends in epidemiology as well.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical skills through examples. Think of a time when you tackled a complex dataset or solved a challenging problem. Be ready to explain your thought process and the tools you used to achieve results.
✨Understand the Research Programme
Do your homework on the multi-centre research programme. Understand its goals and how your role fits into the bigger picture. This will show your genuine interest and help you articulate how you can contribute effectively.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask at the end of the interview. Inquire about the team dynamics, ongoing projects, or future directions of the research. This not only shows your enthusiasm but also helps you gauge if the role is right for you.
