Bioinformatician - Pathogen

Join us at EIT

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, engineers, researchers, educators and innovators 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 .org.

Within this ecosystem, the Pathogen Program exemplifies EIT's dedication to transformative science. It seeks to revolutionise the diagnosis and treatment of infectious diseases by leveraging Whole Genome Sequencing (WGS)-based metagenomic and pathogen-specific analytical tools. This initiative is building a global, "Always On" pathogen metagenomics system designed to enhance diagnostics, provide early epidemic warnings, and guide treatment through antimicrobial resistance profiling. Enabled by Oracle Inc.'s

cloud-computing scale and security, the Pathogen Mission is advancing toward certified diagnostic products for deployment in laboratories, hospitals, and public health organisations worldwide.

At EIT we are seeking an experienced and detailed orientated Bioinformatician to work shoulder-to-shoulder with senior scientists to analyse, validate and improve bioinformatics workflows that turn raw sequencing data into actionable insights. This is an ideal role for someone early in their career who is eager to develop their skills in infectious disease genomics, microbial sequence analysis and reproducible computational biology, while seeing their work contribute to products with real-world clinical impact.

The role will involve working with a range of next-generation sequencing datasets, including pathogen-specific and metagenomic data. You will work closely with wet lab scientists to apply analytical approaches such as microbial profiling, taxonomic classification, and antimicrobial resistance analysis to experimental data and interpret the results. We are particularly interested in candidates who have practical exposure to metagenomic methods and are keen to deepen that expertise in a translational research environment.

• Develop, apply and improve reproducible bioinformatics workflows for the analysis of whole genome and metagenomic sequencing data, including quality control, assembly, taxonomic classification, antimicrobial resistance prediction, variant analysis and strain characterisation
• Support interpretation of complex sequencing datasets, assessing the suitability of analytical approaches and accounting for factors such as contamination, mixed organisms, host background, low microbial biomass and ambiguous taxonomic assignments
• Use scripting and good programming practices to develop clear, reliable and reproducible bioinformatics solutions, and actively support colleagues by sharing expertise, reviewing code and contributing to collaborative problem-solving
• Stay current with advances in infectious disease genomics, metagenomic analysis, antimicrobial resistance analytics, and microbial bioinformatics, suggesting incremental improvements to existing workflows
• Engage in a collaborative, inclusive and high-performing team environment by sharing knowledge, supporting colleagues and contributing to continuous improvement

• Doctorate-level expertise (PhD or equivalent) in Bioinformatics, Computational Biology, Microbiology, Genetic Epidemiology, Genomics or a related field, combined with hands‑on bioinformatics or computational biology experience
• Hands‑on experience analysing next‑generation sequencing data, ideally in metagenomics, microbial genomics, infectious diseases, or…