Computational Genomics Scientist

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 at www.eit.org.

Welcome to the Pathogen Program:

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 >400,000 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. 

Your Role:

As a (Senior) Scientist, you will design, develop, and evaluate novel computational methods for translating metagenomic sequencing data into actionable results in a clinical or public health context. 

You will develop algorithms and AI/ML methods that are accurate and robust enough to be integrated into our infectious disease diagnostic product. You will report to the Lead Scientist in Computational Genomics, and you will work closely with bioinformaticians, data scientists, microbiologists, and software engineers to deliver clinically relevant innovation in the microbial genomics space.

 Key Responsibilities:

• Design, develop, and evaluate novel computational algorithms in areas such as taxonomic classification and antimicrobial resistance  
• Develop ML/AI techniques to address real-world problems in the pathogen genomics space, in collaboration with scientists across EIT