Senior AMR Genomics Scientist - Pathogen Research (Hybrid)

Ellison Institute of Technology

Oxford

Hybrid

GBP 65,000 - 90,000

Full time

14 days+
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Benefits offered by this job

Travel Allowance
Bonus
Enhanced holiday pay
Pension
Life Assurance
Income Protection
Private Medical Insurance
Hospital Cash Plan
Therapy Services
Perk Box
Electric Car Scheme

Job summary

The Ellison Institute of Technology is seeking a Senior Scientist in Oxford with expertise in AMR genomics to join the Pathogen Program. This primarily desk-based role provides expert input across AMR tasks and collaborates with cross-functional teams to advance pathogen diagnostics.

You will develop rules for predicting antimicrobial phenotype from genotype, curate AMR gene catalogs, and support ML-driven AMR predictions, while liaising with stakeholders and contributing to data generation.

Qualifications

  • PhD in a relevant scientific discipline (e.g. microbiology, molecular microbiology, clinical biology, biochemistry).
  • 2+ years of post-doctoral research experience.
  • Significant research experience in antimicrobial resistance.
  • Experience interpreting genomic data from bacteria.
  • Strong data analysis skills with R or equivalent.
  • Good communication and meticulous record-keeping.
  • Strong IT skills with spreadsheets/word processing/presentations.

Responsibilities

  • Provide expert knowledge into AMR research and operational activities.
  • Develop expert rules to predict antimicrobial phenotype from genotype.
  • Curate catalogues of antimicrobial resistance loci (e.g., AMRFinderPlus).
  • Collaborate with teams developing ML models for AMR prediction.
  • Review MIC and WGS data to identify anomalies and drive follow-up testing.
  • Liaise with internal and external stakeholders and document results.

Skills

AMR genomics
Genomic data analysis
R (data analysis)
Communication

Education

PhD in microbiology

Tools

Confluence
Jira
Lucidchart

Job description

The Ellison Institute of Technology is seeking a Senior Scientist in Oxford with expertise in AMR genomics to join the Pathogen Program. This primarily desk-based role provides expert input across AMR tasks and collaborates with cross-functional teams to advance pathogen diagnostics.

You will develop rules for predicting antimicrobial phenotype from genotype, curate AMR gene catalogs, and support ML-driven AMR predictions, while liaising with stakeholders and contributing to data generation.

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