At a Glance
- Tasks: Analyse data to improve cancer referral pathways and contribute to impactful research.
- Company: Join the London School of Hygiene & Tropical Medicine, a leader in public health education.
- Benefits: Competitive salary, 30 days annual leave, wellbeing days, and pension scheme.
- Other info: Inclusive workplace committed to diversity and professional growth.
- Why this job: Make a real difference in healthcare with big data and innovative research.
- Qualifications: Postgraduate degree in data science, statistics, or epidemiology; experience in health studies preferred.
The predicted salary is between 45728 - 51872 £ per year.
The London School of Hygiene & Tropical Medicine (LSHTM) is one of the world’s leading public health universities. Our mission is to improve health and health equity in the UK and worldwide; working in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice.
We are looking for a Research Fellow with skills and expertise in data science, statistics, and epidemiology to contribute to a multi-centre research programme that aims to develop a head-and-neck cancer risk stratification system that would make cancer referral pathways more efficient. The Research Fellow will be involved in analysing routinely collected linked datasets on patients referred to hospital with suspected head-and-neck cancer. This post will provide an excellent opportunity for someone who wants a career in “big data” research.
The role requires strong skills and expertise in data science, statistics, and epidemiology. The successful candidate will have a postgraduate degree, ideally a doctoral degree in one of these areas. Experience of working on large observational health care studies is helpful, but the job also suits someone with experience of analysing clinical trials.
It is based at the Department of Health Services Research & Policy, an internationally recognised centre of expertise in methodologically focused cancer research. The Department has a leading role in evaluating cancer treatment provided by the NHS. The post is full-time 35 hours per week, 1.0 FTE and fixed term until 29 February 2028. The post is funded by the NIHR and is available from 01 July 2026.
The salary will be on the LSHTM salary scale, Grade 6 in the range £45,728 - £51,872 per annum pro rata (inclusive of London Weighting). The post will be subject to the LSHTM terms and conditions of service. Annual leave entitlement is 30 working days per year, pro rata for part time staff. In addition to this there are discretionary “Wellbeing Days”. Membership of the Pension Scheme is available. The post is based in London at LSHTM.
The London School of Hygiene & Tropical Medicine is committed to being an equal opportunities employer. We believe that when people feel respected and included, they can be more creative, successful, and happier at work. While we have more work to do, we are committed to building an inclusive workplace, a community that everyone feels a part of, which is safe, respectful, supportive and enables all to reach their full potential.
Research Fellow in Data Science and Statistics in London employer: LONDON SCHOOL OF HYGIENE & TROPICAL MEDICINE
The London School of Hygiene & Tropical Medicine (LSHTM) is an exceptional employer, offering a vibrant work culture that prioritises health equity and innovative research. With a commitment to inclusivity and employee wellbeing, LSHTM provides generous annual leave, discretionary wellbeing days, and opportunities for professional growth in the dynamic field of public health. Located in London, employees benefit from being part of a globally recognised institution dedicated to impactful research and policy development.
Contact Details:
LONDON SCHOOL OF HYGIENE & TROPICAL MEDICINE Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Research Fellow in Data Science and Statistics in London
✨Network Like a Pro
Get out there and connect with folks in the data science and health research fields. Attend conferences, webinars, or local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you!
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your expertise in data science and statistics. Share specific examples of your work, especially if it relates to health care studies or cancer research. Let them see how you can add value to their team!
✨Tailor Your Approach
Before any interview, do your homework! Research the organisation and understand their projects, especially those related to head-and-neck cancer. Tailor your responses to show how your skills align with their goals. This will make you stand out as a candidate who truly gets what they’re about.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our mission to improve health and equity in the UK and beyond.
We think you need these skills to ace Research Fellow in Data Science and Statistics in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your skills in data science, statistics, and epidemiology. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your background makes you a perfect fit for our multi-centre research programme.
Showcase Your Research Experience:If you've worked on large observational health care studies or clinical trials, make sure to mention that! We love seeing candidates who have hands-on experience in the field, so share those details.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your materials and ensures you’re considered for the position. We can’t wait to see what you bring to the table!
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, statistics, and epidemiology knowledge. Be ready to discuss specific methodologies you've used in past projects, especially those related to large datasets or observational studies. This will show that you're not just familiar with the concepts but can apply them effectively.
✨Understand the Role and the Research
Dive deep into the specifics of the research programme you'll be contributing to. Familiarise yourself with head-and-neck cancer risk stratification and how it impacts referral pathways. Showing genuine interest and understanding of the project will impress the interviewers and demonstrate your commitment to the role.
✨Prepare Questions
Have a list of thoughtful questions ready for your interviewers. Ask about the team dynamics, ongoing projects, or how they measure success in this role. This not only shows your enthusiasm but also helps you gauge if the environment is the right fit for you.
✨Showcase Your Experience
Be prepared to share specific examples from your previous work, particularly any experience with large observational health care studies or clinical trials. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easier for the interviewers to follow your thought process and achievements.
