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: Full-time role with excellent career growth in a supportive and inclusive environment.
- 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 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 well-being, 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
✨Tip Number 1
Network like a pro! Reach out to people in your field, attend relevant events, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the organisation and its projects. Familiarise yourself with their work in data science and health research. This will help you tailor your answers and show that you're genuinely interested in contributing to their mission.
✨Tip Number 3
Practice your pitch! Be ready to explain your skills and experiences clearly and confidently. Highlight how your background in data science and statistics aligns with the role of Research Fellow and how you can add value to their team.
✨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 and take the time to engage with us directly.
We think you need these skills to ace Research Fellow in Data Science and Statistics
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. Keep it engaging and personal!
Showcase Your Research Experience:If you've worked on large observational health care studies or clinical trials, make sure to highlight that experience. We’re looking for someone who can dive into big data, so let us know what you’ve done in this area!
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 get all the latest updates from us. Plus, we love seeing applications come in through our platform!
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 theory but can apply it practically.
✨Understand the Role and the Research
Dive deep into the specifics of the head-and-neck cancer risk stratification system mentioned in the job description. Familiarise yourself with current trends in cancer research and how data science plays a role in improving referral pathways. This will help you demonstrate genuine interest and insight during the interview.
✨Prepare Questions for Them
Think of insightful questions to ask your interviewers about the research programme and the department's goals. This shows that you’re engaged and thinking critically about how you can contribute. Questions about their current projects or future directions can spark a great conversation.
✨Showcase Your Team Spirit
Since this role involves working in a multi-centre research programme, highlight your teamwork skills. Share examples of how you’ve collaborated with others in previous roles, especially in research settings. Emphasising your ability to work well in a team will align with their commitment to building an inclusive workplace.
