The Ellison Institute of Technology (EIT) Oxford tackles humanity’s greatest challenges by turning science and technology into impactful global solutions. Focused on areas like health, food security, sustainable agriculture, climate change, clean energy, and AI & Robotics, EIT Oxford blends groundbreaking research with practical applications to deliver lasting results.
A cornerstone of EIT Oxford’s mission is its upcoming 300,000-square-foot research facility at the Oxford Science Park, set to open in 2027. This cutting-edge campus will feature advanced labs, an oncology and preventative care clinic, and collaborative spaces to strengthen its partnership with the University of Oxford. It will also host the Ellison Scholars, driving innovation for societal benefit.
The Pathogen Mission highlights EIT’s transformative approach, using Whole Genome Sequencing (WGS) and Oracle’s cloud technology to create a global pathogen metagenomics system. This initiative aims to improve diagnostics, provide early epidemic warnings, and guide treatments by profiling antimicrobial resistance. The goal is to deliver certified diagnostic tools for widespread use in labs, hospitals, and public health.
EIT Oxford fosters a culture of collaboration, innovation, and resilience, valuing diverse expertise to drive sustainable solutions to humanity’s enduring challenges.
We are seeking a highly skilled and motivated Lead Scientist in Antimicrobial Resistance (AMR) to join the Applications team at EIT Pathogena. In this key role, you will lead the development of AMR-related components within diagnostic and monitoring tests for infectious diseases. While the primary focus will be on metagenomics, the work may also extend to other sequencing and non-sequencing approaches.
We’re looking for a candidate with a strong background in AMR and genotype-phenotype correlation, gained through experience in industry, healthcare, academia, or a combination of these sectors. You’ll work collaboratively with scientists across the Applications team and partner closely with other groups at EIT Pathogena to develop accurate, rapid AMR/susceptibility prediction from genomic and metagenomic data in a fast-paced, start-up-like environment.
The ideal candidate will be innovative, with excellent troubleshooting skills and a drive to tackle complex challenges in molecular biology.

ESSENTIAL KNOWLEDGE, SKILLS, AND EXPERIENCE:

• A PhD in a relevant scientific discipline (e.g. molecular biology, microbiology, AMR)
• In-depth expertise in molecular mechanisms of antimicrobial resistance
• Strong foundation in molecular biology techniques and applications
• Demonstrated experience in laboratory operations and personnel management
• A proven track record of achievement in academic and/or industrial research settings
• Experience collaborating within multidisciplinary teams, with the ability to effectively communicate across scientific domains

DESIRABLE KNOWLEDGE, SKILLS, AND EXPERIENCE:

• Experience performing phenotypic drug susceptibility testing and molecular antimicrobial resistance testing in public health or hospital settings
• Experience in clinical evaluation of infectious diseases diagnostic assays
• Familiarity with clinical metagenomics applications and workflows
• Foundational skills in bioinformatics, particularly in the analysis of genomic or metagenomic data

• Identify key pathogen, antimicrobial combination targets for diagnostic development
• Set up phenotype and genotype testing capability for bacterial and fungal isolates in the lab
• Work closely with the bioinformatics team to support the development of tools to identify, assemble and track AMR plasmids from metagenomic datasets
• Work closely with the AI and bioinformatics teams to support the development of antimicrobial resistance and susceptibility prediction tools. Assist with data curation for prediction models
• Support internal and external stakeholders to collate large data sets for AMR prediction models
• Design evaluation strategies to define resistance and susceptibility accuracy from clinical samples