🟒 Actively Hiring · 8d ago ⏳ Closes in 83 days πŸ‡¬πŸ‡§ UK Corridor πŸ›‘οΈ UK Work Eligibility 🏒 FULL_TIME

RNAseq Bioinformatician

🏒 Infinitopes · πŸ“ Oxford, England · πŸ•’ Oct 14, 2026 · Ref: OP-VERIF-0D39E599
Benchmark Compensation (Annual Base)
Salary Disclosed on Application
Full Benefits Package
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Position Overview & Specifications

About us

Infinitopes is a pioneer in precision immunomics medicines. A Cancer Research UK (CRUK)-led biotech spinout from Oxford University, we are empowering the immune system to fight cancer metastases with unique, de novo antigen discovery technologies, innovative high efficiency vectors and intelligent clinical trial design. Our mission is to significantly enhance patient survival.

Our work environment includes:

  • Modern office setting
  • Growth opportunities
  • Work-from-home days

We are looking for a bioinformatician with RNAseq experience with interest in generating new workflows and leveraging the power of RNAseq to solve biological problems. Help us drive our vaccine target discovery platform - identifying the best candidates for accessible and effective cancer immunotherapies. If you're enthusiastic, innovative and interested in a professional, rewarding environment that genuinely values your personal development, please send us your CV and a cover letter describing your skills and experiences. A successful candidate will ideally have experience working with RNAseq pipelines in R/Python, and pipeline, cloud computing, machine learning or antigen discovery experience as an optional bonus.

Job Types: Full-time, Permanent

Benefits:

  • Company events
  • Company pension
  • Cycle to work scheme
  • Sick pay
  • UK visa sponsorship

Schedule:

  • Monday to Friday

Ability to commute/relocate:

  • Oxford: reliably commute or plan to relocate before starting work (preferred)

Application question(s):

  • Are there any additional skills in pipeline development, cloud computing, machine learning or antigen discovery you wish to highlight?

Education:

  • Master's (preferred)

Experience:

  • Bioinformatics: 2 years (required)

Work Location: Hybrid remote in Oxford

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