Senior Scientist, AMR Genomics - Pathogen Pathogen England, United Kingdom

At the Ellison Institute of Technology (EIT), we’re on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, policy makers, and entrepreneurs to tackle humanity’s greatest challenges in four transformative areas:

• Health, Medical Science & Generative Biology
• Food Security & Sustainable Agriculture
• Climate Change & Managing CO₂
• Artificial Intelligence & Robotics

This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you’ll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at https://(Use the "Apply for this Job" box below)..org

Within this ecosystem, the Pathogen Program exemplifies EIT’s dedication to ground-breaking science. It seeks to transform pathogen risk management, detection and response by leveraging Whole Genome Sequencing (WGS)-based metagenomic and pathogen-specific analytical tools. The goal is to power metagenomic devices using long-read sequencing technologies by building a comprehensive database of pathogen information to inform response. The database will comprise >400,00 paired high-quality long read sequences with comprehensive antimicrobial susceptibility profiles.

Enabled by Oracle Inc.’s cloud-computing scale and security, the Pathogen Program is advancing toward certified diagnostic tools for deployment in laboratories, hospitals, and public health organisations worldwide.

We are looking for a Senior Scientist with expertise in AMR genomics to join the Pathogen Program. This is a predominantly desk-based role working collaboratively across teams within the Pathogen Program to provide expert input on a range of AMR related tasks and topics. You will curate expert rules for interpretation of AMR genotypic data, provide domain-specific analysis and support for genome sequence and AST data generated by the laboratory, provide expert advice for AST testing and investigate putative novel mechanisms of resistance.

This is an excellent opportunity for an enthusiastic individual with a passion for AMR and strong domain-specific knowledge to contribute to an ambitious program of work aiming to revolutionise pathogen diagnostics.

• Provide expert knowledge and input into research and operational activities involving antimicrobials and AMR.
• Develop expert rules for prediction of antimicrobial phenotype from genotypic information.
• Curate catalogues of antimicrobial resistance loci, such as AMRFinder
  
  Plus output.
• Contribute to design and quality assurance of antimicrobial susceptibility testing.
• Review paired antimicrobial susceptibility and whole genome sequence data to identify possible anomalies or areas for further investigation.
• Review existing MIC data and identify priorities for further testing or re-testing.
• Interpret and curate data on plasmids and mobile genetic elements from genomic and metagenomic datasets.
• Collaborate with colleagues developing Machine Learning models for AMR prediction from genotype.
• Contribute to research to identify and investigate novel antimicrobial resistance mechanisms identified by Machine Learning models.
• Collaborate with laboratory scientists to produce and evaluate datasets for identification of AMR genes and prediction of antimicrobial susceptibility from metagenomic data.
• Liaise with key internal and external stakeholders involved in EIT’s AMR-related activities.
• Opportunity to conduct laboratory research to generate datasets for identification of AMR genes and prediction of antimicrobial…