Senior Computational Oncology Fellow — Cancer Evolution

Senior Computational Oncology Fellow — Cancer Evolution

Full-Time 40000 - 60000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Advance cancer evolution science using computational and data-driven methods.
  • Company: Join a leading research team at University College London (UCL).
  • Benefits: Opportunity for high-impact publications and collaboration with multidisciplinary teams.
  • Other info: Dynamic research environment with opportunities for professional growth.
  • Why this job: Make a real difference in cancer research and contribute to groundbreaking discoveries.
  • Qualifications: Strong background in computational biology and relevant research experience.

The predicted salary is between 40000 - 60000 £ per year.

RFCSR is inviting applications for a Research Fellow or Senior Research Fellow position in Computational Biology at University College London (UCL). This role focuses on advancing cancer evolution science through computational and data-driven approaches.

The successful candidate will contribute to innovative research in cancer evolution, work closely within multidisciplinary teams, and engage in high-impact publications. Strong qualifications in computational biology and prior experience in relevant research areas are essential.

Senior Computational Oncology Fellow — Cancer Evolution employer: RFCSR

At RFCSR, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture at University College London. Our commitment to employee growth is evident through our support for continuous learning and development, as well as the opportunity to engage in groundbreaking research that has a meaningful impact on cancer evolution science. Join us to be part of a multidisciplinary team dedicated to advancing knowledge and making a difference in the field of computational biology.

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Contact Details:

RFCSR Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Computational Oncology Fellow — Cancer Evolution

Tip Number 1

Network like a pro! Reach out to professionals in the field of computational biology, especially those working on cancer evolution. Attend conferences or webinars and don’t be shy to introduce yourself – you never know who might have a lead on your dream job!

Tip Number 2

Show off your skills! Create a portfolio showcasing your previous research and projects related to computational biology. This can be a great conversation starter during interviews and helps us see your hands-on experience.

Tip Number 3

Prepare for those interviews! Research the latest trends in cancer evolution and think about how your background fits into their current projects. We want to see your passion and knowledge shine through when you chat with potential employers.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.

We think you need these skills to ace Senior Computational Oncology Fellow — Cancer Evolution

Computational Biology
Data-Driven Approaches
Research Skills
Multidisciplinary Team Collaboration
High-Impact Publication Experience
Cancer Evolution Knowledge
Analytical Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience in computational biology and any relevant research you've done in cancer evolution. We want to see how your background aligns with the role, so don’t hold back on showcasing your skills!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about cancer evolution and how you can contribute to our team. Keep it engaging and personal – we love to see your enthusiasm!

Showcase Your Publications:If you've got high-impact publications, make sure to mention them! We’re looking for candidates who have made significant contributions to their field, so highlight any relevant work that demonstrates your expertise.

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, it shows you’re keen to join our team!

How to prepare for a job interview at RFCSR

Know Your Stuff

Make sure you brush up on the latest advancements in computational biology and cancer evolution. Familiarise yourself with key research papers and methodologies that are relevant to the role. This will not only show your passion but also your commitment to contributing to innovative research.

Showcase Your Experience

Prepare to discuss your previous research experiences in detail. Be ready to explain how your background aligns with the requirements of the position. Highlight any high-impact publications you've contributed to, as this will demonstrate your ability to engage in meaningful research.

Team Player Mindset

Since the role involves working within multidisciplinary teams, be prepared to discuss your collaborative experiences. Share examples of how you've successfully worked with others in past projects, and emphasise your ability to communicate complex ideas clearly to diverse audiences.

Ask Insightful Questions

Prepare thoughtful questions about the research direction at RFCSR and how the team collaborates on projects. This shows your genuine interest in the role and helps you gauge if the environment is the right fit for you. It’s a two-way street, after all!