Senior) Computational Genomics Scientist, Algorithms & AI​/ML - Pathogen Programme

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 .

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.

As a(Senior) Scientist
, you will design,develop, andevaluatenovel computationalmethodsfortranslatingmetagenomic sequencing datainto actionable resultsin a clinical or public health context.

Youwilldevelopalgorithmsand AI/ML methodsthatareaccurateand robust enough tobeintegrated into our infectious disease diagnostic product.

You Will report to the Lead Scientist in Computational Genomics, and you will work closely withbioinformaticians,data scientists,microbiologists,and software engineers to deliver clinically relevant innovation in the microbial genomics space.

• Design, develop,and evaluate novel computationalalgorithmsin areas such as taxonomic classification and antimicrobial resistance
• DevelopML/AI techniques toaddressreal-world problems in the pathogen genomics space, incollaborationwith scientists across EIT
• Validate and benchmark methods using public and internal datasets
• Work with bioinformaticians and software engineers to implement methods in scalable, reproducible, and modular workflows
• Communicate technical work clearly to interdisciplinary teams

This is a methods development role. Strong candidates will have deepexpertisein either bioinformatics algorithm development or ML/AI in a genomics context. Depth in both areas is a plus.

Experience with microbial genomics and metagenomics is preferred but not required. We actively welcome applicants with genomics experience inothercontextswho are interested in applyingtheirmethodsdevelopmentexpertisein the pathogens space.

For Senior
:

Candidates will havea track recordofindependently executed research projects, typically with three or more years of experience in industry or as a postdoc.

• PhD or equivalent experience ina quantitative field, such as computational biology, computer science,mathematics,orphysics
• Track recordof developing computational algorithms or tools inthe genomics space.
  
  Algorithms:
  
  Designed and released a tool in a relevant area, such as sequence search/storage, genome assembly/annotation, pangenome graphs,orphylogenetics.
  
  AI/ML:
  
  Ownership…