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- Tasks: Design and develop innovative algorithms for microbial sequencing data.
- Company: Mission-driven research organisation in Oxford, focused on genomic science.
- Benefits: Relocation support, competitive salary, and impactful work in public health.
- Why this job: Make a real-world impact at the intersection of genomics and AI.
- Qualifications: PhD in Bioinformatics or related field; programming skills required.
- Other info: Collaborative environment with opportunities for interdisciplinary innovation.
The predicted salary is between 36000 - 60000 £ per year.
We have a (Senior) Computational Biologist within a mission-driven, research and technology organisation focused on translating advanced genomic science into real-world diagnostic and public health applications. As a Scientist or Senior Scientist in Computational Genomics, you will design and develop novel algorithms and analytical methods for microbial sequencing data, contributing directly to the development of next-generation diagnostic solutions. Please note, this role is based in Oxford, UK and the company will sponsor & relocate.
This Will Offer You
- The opportunity to develop novel computational methods with real clinical and public health impact
- A role at the intersection of genomics, AI/ML, and scalable cloud infrastructure
- Close collaboration with computational scientists, engineers, and experimental teams
- Ownership of method development from research through to product integration
- A highly interdisciplinary, innovation-led environment
Your Responsibilities
- Design and evaluate new computational approaches for genome assembly, binning, and functional characterisation from metagenomic sequencing data
- Apply advanced statistical and AI/ML techniques to large-scale microbial datasets
- Implement methods into scalable, reproducible, and modular workflows in collaboration with engineering teams
- Benchmark approaches using public and internal datasets and support experimental validation
- Contribute to technical discussions across computational, software, and wet-lab teams
- Communicate complex concepts clearly to interdisciplinary stakeholders
You Will Bring
- PhD (or equivalent experience) in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field
- Experience developing computational methods for next-generation sequencing data (postdoctoral or industry experience for Senior level)
- Strong grounding in algorithms, data structures, and statistical modelling relevant to genomics
- Experience applying machine learning to biological or sequencing data
- Proficiency in programming (e.g. Python, C/C++, Rust) and modern software development practices
- A rigorous, detail-oriented mindset with commitment to reproducibility and benchmarking
Desirable: Experience with microbial genomics, long-read sequencing, workflow management systems, cloud environments, or open-source bioinformatics contributions.
(Senior) Computational Scientist employer: BioTalent Ltd
Contact Detail:
BioTalent Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land (Senior) Computational Scientist
✨Network Like a Pro
Get out there and connect with folks in the genomics and computational biology scene. Attend conferences, join online forums, or hit up local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you!
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your experience with algorithms and AI/ML techniques. Share specific examples of how you've tackled challenges in microbial sequencing data. This will show them you're not just talk – you can deliver results!
✨Tailor Your Approach
Before any interview, do your homework on the company and its projects. Tailor your discussions to align with their goals in genomic science and public health. This shows you're genuinely interested and ready to contribute to their mission.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team and making an impact in the field of computational genomics.
We think you need these skills to ace (Senior) Computational Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role of a Computational Scientist. Highlight your experience in developing computational methods and any relevant projects you've worked on, especially those involving genomic data.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about computational genomics and how your background makes you a perfect fit for our team. Don’t forget to mention any specific projects or achievements that demonstrate your expertise.
Showcase Your Technical Skills: Since this role involves programming and algorithm development, be sure to include your proficiency in languages like Python or C/C++. Mention any relevant tools or technologies you've used, especially those related to AI/ML and genomic data analysis.
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 shows you’re keen on joining our mission-driven team!
How to prepare for a job interview at BioTalent Ltd
✨Know Your Algorithms
Make sure you brush up on the algorithms and analytical methods relevant to microbial sequencing data. Be ready to discuss your previous work in detail, especially any novel computational methods you've developed. This will show your depth of knowledge and passion for the field.
✨Showcase Your Programming Skills
Since proficiency in programming is key, prepare to demonstrate your coding skills. Bring examples of your work in Python, C/C++, or Rust, and be ready to explain how you've applied these languages in real-world scenarios, particularly in genomics.
✨Communicate Clearly
You’ll need to communicate complex concepts to interdisciplinary teams, so practice explaining your research in simple terms. Think about how you can convey your ideas clearly and effectively, as this will be crucial in collaborative environments.
✨Prepare for Technical Discussions
Expect technical discussions around genome assembly, binning, and functional characterisation. Familiarise yourself with current trends and challenges in computational genomics, and be prepared to share your insights and solutions during the interview.