At a Glance
- Tasks: Develop innovative computational methods for genomics and tackle real-world health challenges.
- Company: Join a cutting-edge institute in Oxford focused on AI and advanced biology.
- Benefits: Competitive salary, relocation support, and a collaborative work environment.
- Other info: Ideal for those seeking a hands-on role in a dynamic, research-driven setting.
- 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 employer: BioTalent
Join a pioneering team in Oxford that is at the forefront of integrating computational biology, AI, and genomics to tackle pressing public health challenges. With a strong emphasis on collaboration and innovation, employees benefit from a dynamic work culture that encourages critical thinking and the development of novel solutions. The organisation offers ample opportunities for professional growth and the chance to contribute to impactful projects that make a real difference in human health and sustainability.
StudySmarter Expert Advice🤫
We think this is how you could land (Senior) Computational Biologist / Computational Genomics Scientist
✨Network Like a Pro
Get out there and connect with people in the field! Attend conferences, workshops, or local meetups related to computational biology and genomics. You never know who might have a lead on your dream job or can introduce you to someone at a company you're eyeing.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your programming skills and any relevant projects you've worked on. Bring examples of your work, like algorithms or workflows you've developed, to showcase your problem-solving abilities.
✨Tailor Your Approach
Don’t just apply to every job under the sun! Focus on roles that align with your interests and expertise in AI, genomics, and computational biology. Customise your pitch to show how your background fits perfectly with what they’re looking for.
✨Apply Through Our Website
We encourage you to apply directly through our website for the best chance at landing that role. It shows your enthusiasm and gives us a clear view of your application. Plus, it’s a great way to stay updated on new opportunities!
We think you need these skills to ace (Senior) Computational Biologist / Computational Genomics Scientist
Some tips for your application 🫡
Show Your Passion for Science:When writing your application, let your enthusiasm for computational biology and genomics shine through. We want to see how your scientific curiosity drives you to tackle real-world challenges, so share specific examples of projects or problems you've worked on that excite you.
Highlight Your Technical Skills:Make sure to clearly outline your programming skills, especially in Python, and any experience with algorithms or machine learning. We’re looking for candidates who can develop novel computational methods, so don’t hold back on showcasing your technical prowess!
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the role. Mention how your background aligns with our focus on AI, diagnostics, and public health challenges—this will help us see why you’re a great fit.
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 this exciting opportunity. Plus, it shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at BioTalent
✨Know Your Stuff
Make sure you brush up on the latest trends in computational biology and genomics. Be ready to discuss your previous projects, especially those involving AI/ML and genomic datasets. This shows you’re not just familiar with the theory but can apply it practically.
✨Show Your Problem-Solving Skills
Prepare to tackle some hypothetical scenarios during the interview. Think about how you would approach complex biological questions or develop novel computational methods. This is your chance to showcase your critical thinking and creativity!
✨Collaborate Like a Pro
Since the role involves working closely with interdisciplinary teams, be ready to discuss your experience in collaborative environments. Share examples of how you’ve successfully worked with software engineers or wet-lab scientists to achieve common goals.
✨Ask Smart Questions
Prepare insightful questions about the team’s current projects or the technologies they’re using. This not only shows your genuine interest in the role but also helps you gauge if the environment aligns with your career aspirations.
