Postdoctoral Research Associate (Bioinformatician): The University of Oxford is seeking a highly motivated Postdoctoral Research Associate in Bioinformatics to join the Ineos Oxford Institute for antimicrobial research (IOI). This position will focus on the Digital Microbiology and Evolution research programme and contribute to understanding the epidemiology and evolution of antimicrobial resistance (AMR) through advanced genome analysis.
Designation
Postdoctoral Research Associate (Bioinformatician)
Research Area
Bioinformatics, Microbiology, Genomics, Antimicrobial Resistance
Location
Sir William Dunn School of Pathology, South Parks Road, Oxford, OX1 3RE, UK (moving to the new Life and Mind Building in 2025)
Eligibility/Qualification
- PhD/DPhil in a relevant subject (e.g., microbiology, bioinformatics, genomics)
- Experience in bioinformatics and genome analysis
- Strong interest in genomics and bioinformatics
- Excellent communication and team collaboration skills
Job Description
The successful candidate will:
- Develop and apply genome analysis pipelines to identify antimicrobial resistance genes
- Conduct database-driven analyses and quantitative comparative genomics
- Collaborate closely with researchers in the IOI Digital Microbiology and Evolution research programme
- Contribute to publication writing and presentation of research findings
Candidates are encouraged to outline any disruptions to their research caused by COVID-19 in their supporting statement.
How to Apply
Interested applicants should submit their applications via the online e-recruitment system. You will need to upload a supporting statement along with your CV.
Contact Email for Queries: recruitment@biology.ox.ac.uk
Last Date to Apply
Applications must be submitted by 12:00 noon on Monday, 6 January 2025.
Interviews are likely to be scheduled for the end of January 2025.
This position is a full-time fixed-term role for 2.5 years, with options to extend. The University of Oxford is committed to equality and diversity in the workplace, with all applicants being evaluated on merit according to the selection criteria.
