At a Glance
- Tasks: Join a team to explore cancer evolution using computational biology and data analysis.
- Company: Be part of University College London, a leading research institution.
- Benefits: Competitive salary, opportunities for mentorship, and access to cutting-edge research.
- Other info: Collaborate with multidisciplinary teams and enhance your research career.
- Why this job: Make a real impact in cancer research and contribute to innovative solutions.
- Qualifications: PhD in relevant fields and strong background in cancer evolution or computational oncology.
The predicted salary is between 40000 - 55000 £ per year.
University College London (UCL) invites applications for a Research Fellow or Senior Research Fellow position in Computational Biology, focusing on cancer evolution science. This role is based within a leading interdisciplinary research environment dedicated to advancing understanding of cancer biology through computational and data-driven approaches.
The successful candidate will contribute to cutting‑edge research in cancer evolution, leveraging computational biology, bioinformatics, and quantitative modelling to investigate tumour development, progression, and heterogeneity. The role involves integrating large‑scale genomic and multi‑omics datasets to understand evolutionary dynamics in cancer and identify clinically relevant insights.
The postholder will work closely with multidisciplinary teams comprising computational biologists, clinicians, and experimental scientists. Responsibilities include:
- Designing and implementing computational models
- Analysing complex biological datasets
- Contributing to high‑impact publications
- Supporting grant development
- Presenting research findings at national and international conferences
- Mentoring junior researchers
- Contributing to collaborative research initiatives within UCL’s cancer research ecosystem
The position offers an opportunity to work within a globally recognised research institution with strong expertise in computational oncology, systems biology, and translational cancer research. The role supports both methodological innovation and applied biomedical research aimed at improving cancer diagnosis, prognosis, and treatment strategies.
Eligibility Criteria
- PhD in Computational Biology, Bioinformatics, Mathematics, Physics, Computer Science, Cancer Biology, or a related discipline
- Strong research background relevant to cancer evolution or computational oncology
- Demonstrated experience in analysing large-scale biological or genomic datasets
- Evidence of peer-reviewed publications in relevant research areas
- Experience appropriate to either postdoctoral (Research Fellow) or more advanced (Senior Research Fellow) level
- Ability to work within multidisciplinary research environments
- Strong track record of independent research contribution
Required Expertise / Skills
- Strong computational and quantitative modelling skills
- Experience with cancer genomics, tumour evolution, or systems biology
- Proficiency in programming languages such as Python, R, or similar analytical tools
- Expertise in bioinformatics pipelines and multi-omics data analysis
- Strong statistical analysis and data interpretation skills
- Ability to develop and apply computational models to biological systems
- Excellent scientific writing and communication skills
- Experience in publishing research in high-impact peer-reviewed journals
- Ability to collaborate effectively with clinical and experimental research teams
- Capacity to contribute to grant writing and research leadership activities
Salary Details
Salary will be in accordance with UCL Research Fellow / Senior Research Fellow pay scales and will depend on experience and academic track record.
Application Deadline
Not specified in the provided listing; applications will be considered according to UCL recruitment timelines and departmental requirements.
Research Fellow / Senior Research Fellow – Computational Biologist (Cancer Evolution Scientist) in London employer: RFCSR
University College London (UCL) is an exceptional employer, offering a vibrant and collaborative research environment that fosters innovation in cancer evolution science. With access to cutting-edge resources and a commitment to employee development, UCL provides opportunities for meaningful contributions to high-impact research while supporting career growth through mentorship and interdisciplinary collaboration. Located in the heart of London, UCL's rich academic culture and global recognition make it an ideal place for passionate researchers to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Research Fellow / Senior Research Fellow – Computational Biologist (Cancer Evolution Scientist) in London
✨Network Like a Pro
Get out there and connect with folks in the field! Attend conferences, workshops, or even local meetups related to computational biology and cancer research. We can’t stress enough how valuable personal connections can be when it comes to landing that dream job.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your experience with programming languages like Python and R. We want to see you confidently discuss your work with large-scale datasets and how you've contributed to impactful research.
✨Tailor Your Approach
Don’t just send out generic messages! Tailor your conversations and follow-ups to each specific role or team. Mention how your background in cancer evolution aligns with their current projects. We love seeing candidates who take the time to understand our work!
✨Apply Through Our Website
We highly recommend applying directly through our website for the best chance of getting noticed. It shows initiative and gives you a direct line to the hiring team. Plus, you’ll find all the latest opportunities right there!
We think you need these skills to ace Research Fellow / Senior Research Fellow – Computational Biologist (Cancer Evolution Scientist) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience in computational biology and cancer evolution. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and publications!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about cancer research and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your enthusiasm!
Showcase Your Research Impact:When detailing your research experience, focus on the impact of your work. Highlight any significant findings or contributions to high-impact publications. We’re looking for candidates who can demonstrate their ability to make a difference in the field!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re serious about joining our amazing team at UCL.
How to prepare for a job interview at RFCSR
✨Know Your Research Inside Out
Make sure you’re well-versed in your own research and the latest developments in cancer evolution. Be prepared to discuss your previous work, especially any publications, and how they relate to the role. This shows your passion and expertise.
✨Brush Up on Computational Skills
Since this role requires strong computational and quantitative modelling skills, be ready to demonstrate your proficiency in programming languages like Python or R. You might even be asked to solve a problem on the spot, so practice coding challenges beforehand.
✨Showcase Your Collaborative Spirit
This position involves working with multidisciplinary teams, so highlight your experience in collaborative projects. Share examples of how you’ve successfully worked with clinicians or experimental scientists, and how you can contribute to a team environment.
✨Prepare for Questions on Future Research
Think about where you see your research going in the next few years. Be ready to discuss potential projects you’d like to pursue at UCL and how they align with their goals in cancer research. This shows initiative and a forward-thinking mindset.
