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- Tasks: Design and develop algorithms for microbial sequencing data in a cutting-edge research environment.
- Company: Mission-driven organisation focused on genomic science and public health applications.
- Benefits: Relocation support, competitive salary, and the chance to make a real-world impact.
- Why this job: Join a team at the forefront of genomics, AI/ML, and innovative diagnostic solutions.
- Qualifications: PhD or equivalent experience in Bioinformatics or related fields; programming skills required.
- Other info: Collaborative, interdisciplinary environment with excellent career growth opportunities.
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
- 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
- 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
(Senior) Computational Scientist in Oxford employer: BioTalent Ltd
Contact Detail:
BioTalent Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land (Senior) Computational Scientist in Oxford
✨Network Like a Pro
Get out there and connect with folks in the genomics and computational biology scene. Attend conferences, webinars, or local meetups to meet potential colleagues and employers. Remember, sometimes it’s not just what you know, but who you know!
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving algorithms and AI/ML techniques. This is your chance to demonstrate your expertise in computational methods for sequencing data. Make sure to highlight any impactful results you've achieved!
✨Ace the Interview
Prepare for technical interviews by brushing up on your algorithms and statistical modelling knowledge. Be ready to discuss your past experiences and how they relate to the role. Practice explaining complex concepts clearly, as you'll need to communicate effectively with interdisciplinary teams.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace (Senior) Computational Scientist in Oxford
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 biology 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 advanced statistical techniques, be sure to include your proficiency in languages like Python or C/C++. Mention any relevant tools or frameworks 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 gives you a chance to explore more about our mission and values!
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 for this role, prepare to demonstrate your coding skills. Bring examples of your work in Python, C/C++, or Rust, and be ready to solve a coding challenge during the interview. This will highlight your technical abilities and problem-solving approach.
✨Communicate Clearly
You’ll need to explain complex concepts to interdisciplinary teams, so practice articulating your ideas clearly and concisely. Use simple language to describe your past projects and how they relate to the role. This will help you connect with your interviewers and showcase your communication skills.
✨Prepare for Technical Discussions
Expect to engage in technical discussions about genome assembly, binning, and functional characterisation. Familiarise yourself with current trends and challenges in computational genomics, and think about how your experience aligns with the company’s goals. This will demonstrate your enthusiasm and readiness to contribute.