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- Tasks: Join a dynamic team to analyse health data and improve blood cancer trials.
- Company: Be part of Leeds Institute of Clinical Trials Research, a leading UK research unit.
- Benefits: Enjoy 42 days off, a generous pension, and access to a top-notch gym.
- Why this job: Make a real impact in healthcare while developing your skills in a supportive environment.
- Qualifications: Ideal for those with a background in medical statistics or healthcare research.
- Other info: Opportunities for teaching and supervising students are available.
The predicted salary is between 36000 - 60000 £ per year.
You will work on the Blood Cancer UK funded project: Blood cancer Long-term follow-up using Integrated Health Systems data (BLISS). You will be based in the Cancer Division at the Clinical Trials Research Unit within Leeds Institute of Clinical Trials Research (LICTR). The Unit is one of the largest in the UK and conducts national and international randomised and early phase clinical trials in a variety of clinical fields. Our main aim is to develop and support novel and efficient trials to change clinical practice for the better. Our past results and current research have already helped to do this. Our results inform the academic development of this specialised field of clinical research on a national and international level.
Particularly, we specialise in the development, optimisation and evaluation of complex interventions, complex phase III trials and efficient phase I/II trials, as well as adaptive designs, seamless phase II/III designs and biomarker driven designs. LICTR hosts a dedicated, cross-cutting Methodological Research, Education and Innovation (M-REI) Division, conducting statistical, trial conduct and mixed methods research inspired by real problems encountered in complex trials. This is a unique opportunity to join a strategically important research group.
You will be a highly talented, inquisitive and enthusiastic individual with a good understanding of medical statistics and considerable applied experience in clinical or healthcare research. You will be interested in pursuing a career in medical statistics and/or health data sciences and will work on the Blood Cancer UK funded project: Blood cancer Long-term follow-up using Integrated Health Systems data (BLISS), to provide guidance on the implementation of processes to integrate routine datasets into blood cancer clinical trials.
You will be responsible for reviewing literature, proposing statistical designs and their associated analysis and implementing these using appropriate statistical software. You will have the opportunity to contribute to teaching and supervise MSc and/or PhD students. You will join a large, well-established group of statisticians working with other quantitative and qualitative researchers in one of the largest academic clinical trials units in the UK. You will work closely and collaboratively with a multidisciplinary project team, including statisticians, programmers, clinicians, health economists, health service researchers, data managers and trial managers.
What we offer in return:
- 26 days holiday plus approx. 16 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s 42 days a year!
- Generous pension scheme plus life assurance – the University contributes 14.5% of salary
- Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls.
- Personal Development: Access to courses run by our Organisational Development & Professional Learning team.
- Access to on-site childcare, shopping discounts and travel schemes are also available.
- And much more!
Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information please visit: www.gov.uk/skilled-worker-visa.
To explore the post further or for any queries you may have, please contact: Lesley Smith, Senior Research Fellow in Data Science.
Research Fellow (Health Data Science) employer: University of Leeds
Contact Detail:
University of Leeds Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Fellow (Health Data Science)
✨Tip Number 1
Familiarise yourself with the latest trends and methodologies in health data science, particularly those related to blood cancer research. This will not only enhance your understanding but also demonstrate your genuine interest in the field during any discussions.
✨Tip Number 2
Network with professionals in the Cancer Division or similar fields. Attend relevant conferences or seminars where you can meet researchers and practitioners, as personal connections can often lead to job opportunities.
✨Tip Number 3
Prepare to discuss your experience with statistical software and your approach to integrating routine datasets into clinical trials. Be ready to share specific examples of past projects that highlight your skills and contributions.
✨Tip Number 4
Showcase your enthusiasm for teaching and mentoring by thinking of ways you could contribute to the education of MSc and PhD students. This could set you apart as a candidate who is not only focused on research but also on fostering the next generation of scientists.
We think you need these skills to ace Research Fellow (Health Data Science)
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the responsibilities and requirements of the Research Fellow position. Highlight your relevant experience in medical statistics and healthcare research.
Tailor Your CV: Customise your CV to reflect your skills and experiences that align with the job. Emphasise your applied experience in clinical research, statistical designs, and any relevant software proficiency.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the role and the Blood Cancer UK project. Discuss your understanding of integrating routine datasets into clinical trials and how your background makes you a suitable candidate.
Highlight Collaborative Experience: Mention any previous work in multidisciplinary teams, as collaboration is key in this role. Provide examples of how you've worked with statisticians, clinicians, or other researchers to achieve project goals.
How to prepare for a job interview at University of Leeds
✨Understand the Project
Familiarise yourself with the Blood Cancer UK funded project, BLISS. Be prepared to discuss how your skills in health data science can contribute to integrating routine datasets into blood cancer clinical trials.
✨Showcase Your Statistical Knowledge
Highlight your understanding of medical statistics during the interview. Be ready to explain statistical designs you have worked on and how they can be applied to complex clinical trials.
✨Demonstrate Collaborative Skills
Since the role involves working with a multidisciplinary team, share examples of past collaborations. Emphasise your ability to work alongside statisticians, clinicians, and other researchers effectively.
✨Prepare Questions
Have insightful questions ready about the Cancer Division and the specific methodologies used in their trials. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
