Start Date
Immediate
Expiry Date
19 Sep, 25
Salary
0.0
Posted On
20 Jun, 25
Experience
0 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Microbiology, Bioinformatics, Molecular Biology, Public Health, Infectious Diseases, Antimicrobial Resistance, Amr, Personnel Management
Industry
Information Technology/IT
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:
DESIRABLE KNOWLEDGE, SKILLS, AND EXPERIENCE: