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- Tasks: Lead the computational strategy for analysing patient data to discover new cancer targets.
- Company: A top-tier cancer research organisation dedicated to innovative oncology solutions.
- Benefits: Full-time role with competitive salary and opportunities for professional growth.
- Why this job: Make a real difference in cancer research while working with cutting-edge technology.
- Qualifications: PhD in bioinformatics or data science, with drug discovery experience.
- Other info: Based in Cambridge with limited flexibility; ideal for passionate researchers.
The predicted salary is between 36000 - 60000 £ per year.
A leading cancer research organization is seeking a Principal Bioinformatician to set the computational strategy for analyzing patient multi-omics datasets aimed at discovering novel oncology targets. The role involves deep expertise in computational biology, the development of machine learning approaches, and collaboration across projects. The ideal candidate has a PhD in bioinformatics or data science, and experience in a drug discovery environment. The position is full-time based in Cambridge with limited flexibility.
Principal Computational Biologist: Oncology Portfolio Lead in Cambourne employer: Babraham Research Campus Ltd
Contact Detail:
Babraham Research Campus Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Computational Biologist: Oncology Portfolio Lead in Cambourne
✨Tip Number 1
Network like a pro! Reach out to professionals in the oncology and computational biology fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show your expertise.
✨Tip Number 2
Prepare for those interviews! Research the company’s recent projects and be ready to discuss how your experience aligns with their goals. We want you to shine, so practice common interview questions related to bioinformatics and machine learning.
✨Tip Number 3
Showcase your skills! Create a portfolio of your work, especially any projects related to multi-omics datasets or drug discovery. This will give you an edge and demonstrate your hands-on experience in the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Principal Computational Biologist: Oncology Portfolio Lead in Cambourne
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in computational biology and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in multi-omics datasets!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about oncology and how your background in bioinformatics makes you the perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Your Collaboration Skills: Since this role involves working across various projects, highlight any past experiences where you collaborated with others. We love seeing candidates who can work well in a team and contribute to a shared goal!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and submit your materials!
How to prepare for a job interview at Babraham Research Campus Ltd
✨Know Your Multi-Omics Inside Out
Make sure you brush up on your knowledge of multi-omics datasets. Be prepared to discuss how you've previously analysed such data and the impact it had on discovering oncology targets. This will show your deep expertise in computational biology.
✨Showcase Your Machine Learning Skills
Since the role involves developing machine learning approaches, be ready to share specific examples of projects where you've applied these techniques. Highlight any innovative solutions you've implemented and the results they achieved.
✨Collaboration is Key
This position requires collaboration across projects, so think of instances where you've worked with cross-functional teams. Be prepared to discuss how you navigated challenges and contributed to a successful outcome.
✨Prepare Questions About Drug Discovery
Demonstrate your interest in the drug discovery environment by preparing insightful questions. Ask about their current projects or challenges they face in oncology research. This shows you're not just interested in the role, but also in the organisation's mission.
