At a Glance
- Tasks: Conduct groundbreaking research in cancer evolution using computational biology and data analysis.
- Company: Join University College London, a leading institution in cancer research.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Other info: Mentorship opportunities and collaboration with top researchers in a dynamic setting.
- Why this job: Make a real difference in cancer treatment and diagnosis through innovative research.
- 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) 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)
✨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 these connections can be for landing that dream role.
✨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 or R. We want to see you confidently discuss your projects and how you've tackled complex datasets – it’s all about showcasing your expertise!
✨Tailor Your Approach
Don’t just send out generic applications! Take the time to tailor your conversations and presentations to the specific role at UCL. We’re talking about aligning your skills and experiences with their focus on cancer evolution and computational biology – it’ll make you stand out!
✨Follow Up
After any interviews or networking events, don’t forget to follow up with a thank-you email. It’s a simple gesture that shows your enthusiasm for the position and keeps you fresh in their minds. We believe this small step can make a big difference in your job search!
We think you need these skills to ace Research Fellow / Senior Research Fellow – Computational Biologist (Cancer Evolution Scientist)
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 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 heavily involves computational biology, ensure you can confidently talk about your experience with programming languages like Python or R. Be ready to discuss specific projects where you applied these skills, as it will demonstrate your technical proficiency.
✨Prepare for Team Dynamics
This position requires collaboration with multidisciplinary teams. Think of examples from your past experiences where you successfully worked with others, particularly in a research setting. Highlight your ability to communicate complex ideas clearly to both scientists and clinicians.
✨Showcase Your Vision for the Future
Be prepared to discuss your vision for future research in cancer evolution. Think about how you can contribute to UCL’s goals and what innovative ideas you might bring to the table. This will show that you’re not just looking for a job, but are genuinely interested in advancing the field.
