(Senior or Non Senior) Computational Genomics Scientist - Pathogen job opportunity at Ellison Institute of Technology.

Home Jobs In United Kingdom Tag: Job (Senior or Non Senior) Computational Genomics Scientist - Pathogen position at Ellison Institute of Technology


Date2026-02-04T13:09:22.170Z bot
Ellison Institute of Technology (Senior or Non Senior) Computational Genomics Scientist - Pathogen
Experience: 3-years
Pattern: Full-time
Country:
apply Apply Now
Salary:
Status:

Job

Copy Link Report
degreePhD
loacation Oxford, United Kingdom
loacation Oxford....United Kingdom

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 Project: Within this ecosystem, the Pathogen Project 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. Enabled by Oracle Inc.’s cloud-computing scale and security, the Pathogen Project is advancing toward certified diagnostic tools for deployment in laboratories, hospitals, and public health organisations worldwide. Your Role: At EIT we are seeking an experienced and detail orientated (Senior or Non Senior) Scientist with recognised expertise in developing computational methods and algorithms for genomic sequencing data analysis. This is an exciting opportunity to develop novel computational approaches for microbial data that will become part of our diagnostic products and thus help shape the future of infectious disease diagnostics. Reporting to the Lead Scientist in Computational Genomics, you will work closely with computational scientists, bioinformaticians, software engineers, and our database and data platform teams to deliver scientifically rigorous, scalable, and clinically relevant innovation in the microbial genomics space. Key Responsibilities: Design, develop and evaluate novel computational approaches in areas such as genome assembly, binning, and functional characterisation of genomes from metagenomic sequencing data Collaborate with scientists across EIT to apply the latest developments in AI/ML to real-world challenges in the pathogen space Work with bioinformaticians and software engineers to implement methods in scalable, reproducible, and modular workflows Perform rigorous benchmarking using public and internal datasets, and guide experimental validation efforts in collaboration with our wet-lab teams Communicate technical concepts to broad audiences and collaborate with interdisciplinary colleagues across the organisation Essential Knowledge, Skills and Experience: PhD or equivalent experience in bioinformatics, computational biology, computer science, or a related quantitative field Senior : At least 3 years of postdoctoral or industry experience developing computational methods for next-generation sequencing data Non-Senior : Hands-on experience developing computational methods for next-generation sequencing data Significant experience with bioinformatics methods such as efficient search and storage of DNA sequences, genome assembly, genome annotation, pangenomes, phylogenetics, and comparative genomics Solid understanding of data structures, algorithms, and statistical methods (e.g. De Bruijn graphs, hashing, Burrows-Wheeler transform, Bayesian methods, mixed models, dimensionality reduction, embeddings) Experience with machine learning in the context of biological data, particularly sequencing data Proficient in the use of command-line interfaces, low and high-level programming languages (e.g. Python, C, C++, Rust) and modern software development techniques (version control, CI/CD) Track record of scientific output and engagement with the computational genomics community Desirable Knowledge, Skills and Experience: Experience working with microbial genomes and shotgun metagenomics data Experience working with long-read sequencing data (ONT) Experience with bioinformatics workflow management (e.g. Nextflow) and cloud computing (e.g. OCI, AWS, GCP) Contributions to open-source bioinformatics software Previous experience mentoring or line-managing scientists ( For Senior ) Key Attributes: Strategic thinker with the ability to translate scientific insights into practical solutions Effective communicator and enthusiastic knowledge sharer across disciplines Rigorous and detail-oriented with a commitment to reproducibility and benchmarking Comfortable in a fast-paced, interdisciplinary environment and able to adapt to evolving priorities Collaborative ethos with the ability to work across teams and domains

Other Ai Matches

Head of Responsible Innovation - Generative Biology Institute Applicants are expected to have a solid experience in handling Job related tasks
Bio-ML Scientists (Senior & Non Senior) - Generative Biology Institute Applicants are expected to have a solid experience in handling Job related tasks
Principal Investigators (All Levels) - Generative Biology Institute Applicants are expected to have a solid experience in handling Job related tasks
Instrumentation Software Engineer - Pathogen Applicants are expected to have a solid experience in handling Job related tasks
Senior Scientist, Biotechnology - Pathogen Applicants are expected to have a solid experience in handling Biotechnology - Pathogen related tasks
Biological Safety Officer Applicants are expected to have a solid experience in handling Job related tasks
Head of Metabolic Analysis and Modelling - Plant Biology Institute Applicants are expected to have a solid experience in handling Job related tasks
Postdoctoral Research Scientists - Materials & Devices for Life Sciences Applicants are expected to have a solid experience in handling Job related tasks
Asset Manager Applicants are expected to have a solid experience in handling Job related tasks
Enterprise Architect - Scientific Compute Applicants are expected to have a solid experience in handling Job related tasks
Security Architect Applicants are expected to have a solid experience in handling Job related tasks
Group Leader, Cell Based Production (Plant Specialised Metabolism) - PBI Applicants are expected to have a solid experience in handling Cell Based Production (Plant Specialised Metabolism) - PBI related tasks
Multiskilled Maintenance Engineer Applicants are expected to have a solid experience in handling Job related tasks
Senior HR and Payroll Administrator Applicants are expected to have a solid experience in handling Job related tasks
Research Engineer Applicants are expected to have a solid experience in handling Job related tasks
(Senior) Group Leader, Nitrogen Fixation - Plant Biology Institute Applicants are expected to have a solid experience in handling Nitrogen Fixation - Plant Biology Institute related tasks
Product Manager - Estates & Facilities Applicants are expected to have a solid experience in handling Job related tasks
Logistics and Distributions Operative Applicants are expected to have a solid experience in handling Job related tasks
Platform Engineer - Pathogen Applicants are expected to have a solid experience in handling Job related tasks
Genomics Data Analyst Applicants are expected to have a solid experience in handling Job related tasks
Scientific Communications Manager - Generative Biology Institute Applicants are expected to have a solid experience in handling Job related tasks
Senior ML Infrastructure Engineer Applicants are expected to have a solid experience in handling Job related tasks
Electronic Instrumentation Engineer - Pathogen Applicants are expected to have a solid experience in handling Job related tasks