At a Glance
- Tasks: Develop innovative computational methods for genomics and tackle real-world health challenges.
- Company: Join a cutting-edge interdisciplinary team in Oxford focused on AI and biology.
- Benefits: Competitive salary, relocation support, and a collaborative work environment.
- Other info: Ideal for postdocs or industry scientists seeking applied research opportunities.
- Why this job: Make a real impact on global health using advanced technology and your scientific skills.
- Qualifications: PhD in relevant field and strong programming skills, especially in Python.
The predicted salary is between 50000 - 70000 € per year.
I’m currently supporting a major new interdisciplinary biology and technology initiative in Oxford focused on applying computational biology, AI, genomics, and advanced software engineering to real-world diagnostic and public health challenges. This is a genuinely high-impact opportunity for computational biologists who enjoy solving difficult scientific problems and want to work in an environment where advanced biology, AI, software engineering, and translational science all come together under one roof. Importantly, this is not a traditional “pipeline support” bioinformatics role. The team is looking for scientists who can think critically about biological questions, develop novel computational methods, and contribute directly to the development of next-generation technologies and diagnostics.
The work includes:
- Developing computational approaches for microbial and metagenomic sequencing data
- Designing algorithms for genome assembly, binning, annotation, and functional characterisation
- Applying AI/ML and statistical modelling techniques to large-scale biological datasets
- Building scalable, reproducible workflows alongside software and engineering teams
- Collaborating closely with computational scientists, software engineers, and experimental biology teams
The organisation itself is focused on tackling major global challenges across:
- Human health
- AI and advanced computing
- Climate and sustainability
- Food security
Within the Generative Biology Institute, the focus is on applying advanced computational genomics, machine learning, and scalable infrastructure to accelerate biological discovery and diagnostic development. The role will involve:
- Developing computational methods for analysing microbial and metagenomic sequencing datasets
- Designing algorithms for genome assembly, binning, annotation, and functional characterisation
- Applying AI/ML and statistical modelling approaches to complex biological data
- Building scalable and reproducible workflows alongside software and engineering teams
- Working closely with wet-lab scientists and interdisciplinary research groups
- Contributing to technically challenging projects with real translational impact
The environment is highly collaborative, technically strong, and heavily research-driven, but with a very applied mindset focused on real-world implementation rather than purely academic output.
Backgrounds of interest include:
- Computational Biology
- Computational Genomics
- Bioinformatics
- Machine Learning applied to biological data
- Microbial genomics / metagenomics
- NGS method development
- AI-driven biology
- Statistical genomics
Key requirements:
- PhD (or equivalent experience) in Computational Biology, Bioinformatics, Computer Science, Genomics, or related field
- Strong programming skills (Python essential, C/C++/Rust beneficial)
- Experience working with sequencing or genomic datasets
- Strong grounding in algorithms, statistical modelling, or ML approaches
- Scientific curiosity and strong problem-solving ability
The role could suit:
- strong postdoctoral researchers looking for a more applied environment
- industry computational biologists wanting greater technical ownership
- method-development focused scientists who enjoy building new approaches rather than purely running existing workflows
Sponsorship and relocation support can be considered.
(Senior) Computational Biologist / Computational Genomics Scientist in Banbury employer: BioTalent
Join a pioneering initiative in Oxford that merges computational biology, AI, and genomics to tackle pressing public health challenges. Our collaborative and research-driven environment fosters innovation, offering employees the chance to develop cutting-edge technologies while working alongside experts in various fields. With a strong focus on real-world applications and significant growth opportunities, this role is perfect for those looking to make a meaningful impact in the world of diagnostics and beyond.
StudySmarter Expert Advice🤫
We think this is how you could land (Senior) Computational Biologist / Computational Genomics Scientist in Banbury
✨Tip Number 1
Network like a pro! Reach out to professionals in the field through LinkedIn or local meetups. Engaging with others can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI, genomics, or computational biology. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss how you've tackled complex biological questions or developed novel computational methods in past roles.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who are passionate about making a real impact in the world of computational biology and genomics.
We think you need these skills to ace (Senior) Computational Biologist / Computational Genomics Scientist in Banbury
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the role. Highlight your computational biology and genomics expertise, and don’t forget to mention any AI or machine learning projects you've worked on!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about computational biology and how your background makes you a perfect fit for our team. Be sure to mention specific projects or experiences that relate to the job.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex scientific problems in the past. We love candidates who can think critically and develop novel approaches, so don’t hold back on sharing your successes!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team!
How to prepare for a job interview at BioTalent
✨Know Your Algorithms
Make sure you brush up on your knowledge of algorithms, especially those related to genome assembly and annotation. Be ready to discuss how you've applied these in past projects or how you would approach a new problem using them.
✨Showcase Your Programming Skills
Since strong programming skills are essential for this role, be prepared to demonstrate your proficiency in Python. You might even want to bring along a small project or code snippet that highlights your coding style and problem-solving abilities.
✨Prepare for Collaboration Questions
Given the collaborative nature of the role, think about examples from your past experiences where you worked closely with interdisciplinary teams. Be ready to discuss how you communicated complex ideas to non-technical colleagues and how you contributed to team success.
✨Demonstrate Your Scientific Curiosity
This position values scientific curiosity and problem-solving. Prepare to discuss recent advancements in computational biology or genomics that excite you, and think about how you can apply these insights to real-world challenges in diagnostics and public health.
