Senior Computational Genomics Scientist – Relocation in Oxford

Senior Computational Genomics Scientist – Relocation in Oxford

Oxford Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
BioTalent Ltd

At a Glance

  • Tasks: Design and develop algorithms for microbial sequencing data in a cutting-edge environment.
  • Company: BioTalent Ltd., an innovative leader in genomics based in Oxford.
  • Benefits: Sponsorship, relocation support, and a collaborative work culture.
  • Other info: Opportunity to make a real impact in next-generation diagnostic solutions.
  • Why this job: Join a dynamic team at the forefront of genomics and AI/ML.
  • Qualifications: Experience in computational biology and algorithm development required.

The predicted salary is between 60000 - 80000 Β£ per year.

BioTalent Ltd. in Oxford seeks a (Senior) Computational Biologist to design and develop novel algorithms for microbial sequencing data and to contribute to next-generation diagnostic solutions. You will work at the intersection of genomics, AI/ML, and scalable cloud infrastructure, collaborating with computational scientists, engineers, and experimental teams. The role offers sponsorship and relocation to Oxford, a highly interdisciplinary, innovation-led environment with impact in clinical.

Senior Computational Genomics Scientist – Relocation in Oxford employer: BioTalent Ltd

At BioTalent Ltd, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through tailored development programmes and the opportunity to lead impactful projects in the insurance sector. Located in a vibrant area, we offer competitive benefits and a supportive environment that empowers our team to excel and make meaningful contributions.

BioTalent Ltd

Contact Details:

BioTalent Ltd Recruitment Team

We think you need these skills to ace Senior Computational Genomics Scientist – Relocation in Oxford

Algorithm Design
Microbial Sequencing Data Analysis
Next-Generation Sequencing (NGS)
Genomics
Artificial Intelligence (AI)
Machine Learning (ML)
Cloud Infrastructure