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- Tasks: Develop and implement analytical pipelines for high-dimensional datasets in cancer research.
- Company: Join King’s College London, a leader in cancer and pharmaceutical sciences.
- Benefits: Gain experience in a collaborative environment with access to extensive academic networks.
- Why this job: Make a real impact in cancer research while working with cutting-edge technologies.
- Qualifications: PhD in relevant field and strong programming skills required.
- Other info: Opportunity to train PhD students and contribute to interdisciplinary research.
The predicted salary is between 28800 - 48000 £ per year.
This post forms part of the CRUK City of London Centre and is based within the School of Cancer & Pharmaceutical Sciences at King’s College London. The successful candidate will be embedded in Professor James Arnold’s Tumour Immunology Group, where they will contribute to and support the development of ongoing research projects across the School, in a collaborative academic environment.
About The Role
The post is offered as a full-time, fixed-term contract for an initial period of one year. The successful candidate will develop and implement novel analytical pipelines for high-dimensional datasets, including spatial bulk and single-cell RNA sequencing, mass and flow cytometry, and imaging data derived from both patient samples and experimental models. The overarching aim of the role is to support efforts to deconstruct the tumour microenvironment and elucidate its role in cancer, generating new biological insights and identifying novel and unexpected therapeutic opportunities. The post will be primarily based at Guy’s Campus. The successful candidate will work closely with Professor James Arnold to support and further develop ongoing research activities within the School in a highly collaborative academic environment. The role will also involve training and supervising PhD students and junior research associates in the application of bioinformatics tools. More broadly, the successful candidate will benefit from, and contribute to, the interdisciplinary research culture and extensive academic networks at King’s College London.
About You
To be successful in this role, we are looking for candidates to have the following skills and experience:
- Candidate must have (or be studying for) a PhD in a relevant field of research; ideally in the computational and/or biology and/or cancer field.
- Demonstrable knowledge and prior work with spatial and RNA-seq datasets in a biological context.
- Strong software and data processing skills: experience of programming in one or more languages (e.g. R, C/C++, Python, Matlab).
- Practical experience of algorithm development and implementation of machine learning approaches.
- Experience in writing scientific manuscripts and peer-reviewed publications.
- Ability to work as part of a team, in a collaborative fashion between teams and willingness and ability to exchange information with team members and internal and external contacts.
We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the person specification section of the job description. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. Interviews are due to be held in week beginning 13th April and will include a 10-minute presentation about the candidate’s previous research as part of the interview.
Computational Biologist employer: KINGS COLLEGE LONDON
Contact Detail:
KINGS COLLEGE LONDON Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computational Biologist
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those connected to the Tumour Immunology Group. A friendly chat can open doors and give you insights that a CV just can't.
✨Tip Number 2
Prepare for that interview! Brush up on your knowledge of spatial and RNA-seq datasets, and be ready to discuss your programming skills. We want to see your passion for computational biology shine through!
✨Tip Number 3
Show off your collaborative spirit! Highlight any past experiences where you've worked in teams or trained others. This role is all about teamwork, so let us know how you can contribute to our academic environment.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage with us directly.
We think you need these skills to ace Computational Biologist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your relevant experience in computational biology and any specific projects you've worked on. We want to see how your skills align with the role, so don’t hold back on showcasing your expertise!
Craft a Compelling Supporting Statement: Your supporting statement is your chance to shine! Use it to detail how you meet the essential criteria from the job description. Be specific about your experience with spatial and RNA-seq datasets, and don’t forget to mention your programming skills.
Showcase Your Collaborative Spirit: Since this role is all about collaboration, make sure to highlight any team projects or experiences where you’ve worked closely with others. We love seeing candidates who can work well in a team and contribute to a positive academic environment.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter.
How to prepare for a job interview at KINGS COLLEGE LONDON
✨Know Your Research Inside Out
Make sure you can discuss your previous research in detail, especially any projects related to computational biology or cancer. Be prepared to explain your methodologies and findings clearly, as you'll need to present this during the interview.
✨Brush Up on Technical Skills
Since the role involves developing analytical pipelines, ensure you're comfortable discussing your programming skills in languages like R, Python, or C/C++. Be ready to share examples of how you've applied these skills in real-world scenarios.
✨Collaborative Spirit is Key
This position is all about teamwork, so be prepared to talk about your experiences working in collaborative environments. Highlight any instances where you've successfully exchanged ideas or trained others, as this will show you're a great fit for their academic culture.
✨Prepare for the Presentation
You'll need to deliver a 10-minute presentation about your previous research, so practice is essential. Focus on clarity and engagement, and make sure to connect your work to the role's objectives, particularly in relation to tumour microenvironments and therapeutic opportunities.