Ellison Institute, LLC
Oxford, Oxfordshire
At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionaryscientists, 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 . Welcome to the Generative Biology Institute Led by Founding Director Jason Chin, the Generative Biology Institute (GBI) at the Ellison Institute of Technology is tackling the key challenges in making biology engineerable, and thereby unlocking the unrivalled power of biology for the benefit of humanity. The vision of the GBI is to lay the foundations for engineering biology, and unlock its potential for good. To achieve this, we must overcome two key challenges. First, we need the ability to write in the natural language of biology, enabling the rapid and scalable synthesis of entire genomes with precision. Second, we must understand what to write - determining which DNA sequences will generate biological systems that perform the desired functions. Addressing these challenges will allow us to harness the full power of biology to create transformative solutions across health, agriculture, clean energy and more. GBI will have sustained and substantial funding to support the unique scale and ambition of its ground-breaking vision for engineering biology. GBI researchers will also be supported by cutting-edge technology hubs including mass spectrometry, flow cytometry, sequencing, automation, imaging, and bioprocessing. GBI will also have access to substantial compute resources that can be leveraged to further accelerate progress, including scientific compute, bioinformatics, and machine learning. The environment at GBI will allow researchers to undertake ambitious, long-term, collaborative research, and we will actively support the translation of research to commercial applications, where appropriate. The Generative Biology Institute commenced operations in 2025, occupying newly renovated bespoke space in the Oxford Science Park. The team will later move to a purpose-made facility in the Oxford Science Park, currently under construction. Once complete, this state-of-the-art facility will include more than 40000 m2 of research laboratory and office space. It will house over 30 groups and up to 600 employees at scale, focused on solving the two critical challenges in making biology engineerable and applying the solutions to addressing the global challenges encapsulated in EIT's Humane Endeavors. Your Role Working as part of a new Scientific Computing team within GBI, the HPC Engineer will help operate, improve, and scale the data and computing platform that will enable cutting-edge research in engineering biology. This is a broad, hands-on role at the interface of Linux systems, high-performance computing, cloud infrastructure, Kubernetes, Slurm, storage, monitoring, and researcher support. They will help turn emerging researcher needs and operational lessons into robust platform improvements, reusable tooling, and clear runbooks. This role is particularly suited to someone who enjoys practical systems work, learning new technologies, and collaborating closely with scientists and engineers. We do not expect candidates to have deep experience in every technology listed in this description. Instead, we are looking for a strong, scientifically minded systems engineer: someone who can troubleshoot complex environments, communicate clearly with multidisciplinary teams, learn unfamiliar tools quickly, and help build reliable, scalable services that advance GBI's scientific mission. Key Responsibilities Operate, maintain, and improve GBI's hybrid HPC platform, including Linux-based compute environments, Slurm/Slinky workloads, Kubernetes/OKE services, Open OnDemand, GPU and CPU partitions, and shared storage. Help provision, configure, scale, and validate compute, storage, networking, and platform services using infrastructure as code, configuration management, and automation tools such as Terraform, Helm and Ansible. Monitor platform health, capacity, job scheduling, GPU utilisation, storage behaviour, and network performance; investigate issues using tools such as Prometheus and Grafana. Support researchers in using our Scientific Computing Platform, including triaging user issues and translating common pain points into platform improvements. Build and maintain reproducible runtime environments, container images, and workflow-supporting services for scientific computing workloads, including bioinformatics, AI/ML, data processing, and simulation workflows. Contribute to safe rollout and maintenance processes for Slurm images, worker node pools, scheduler configuration, container runtime changes, security updates, and monitoring improvements. Create and maintain clear technical documentation, runbooks, validation checks, and issue/PR notes so the platform can be operated consistently and improved safely by the wider team. Essential Knowledge, Skills and Experience Bachelor's or Master's degree in Computer Science, Computational Biology, Engineering, Physics, Mathematics, or a related discipline, or equivalent practical experience. Hands-on experience supporting or administering Linux-based systems in an HPC, cloud, research, academic, or production environment. Working knowledge of HPC or batch-computing concepts, including schedulers, resource requests, queues/partitions, shared filesystems, and multi-user compute environments; Slurm experience is preferred. Ability to troubleshoot issues across systems, networking, storage, identity, containers, schedulers, and user workloads, and to follow problems through to a reliable operational fix. Experience with scripting, automation, and version-controlled operational changes using tools such as Git, CI/CD, Terraform, Ansible, Helm, or similar. Ability to work closely with multidisciplinary research teams, understand scientific computing needs, and deliver practical services that advance scientific goals. Strong communication and documentation skills, with the ability to explain technical concepts clearly to scientists, engineers, and non-specialist audiences. A proactive, learning-oriented approach suited to a new team building and improving a platform while also operating it day to day. Desirable Knowledge, Skills and Experience Experience operating Slurm clusters, Slinky/slurm-operator, Open OnDemand, JupyterLab services, or other researcher-facing HPC portals and access patterns. Experience with Kubernetes or managed Kubernetes platforms such as OCI OKE, EKS, GKE, or AKS, including Helm, Argo CD, operators, services, storage classes, and workload troubleshooting. Experience with cloud infrastructure, particularly OCI, and with infrastructure as code and remote execution models such as Terraform Cloud. Experience with shared and high-performance storage such as Lustre, BeeGFS, GPFS, NFS, OCI File Storage, object storage, or data movement workflows for large scientific datasets. Experience supporting GPU-accelerated workloads, NVIDIA tooling, CUDA-aware environments, DCGM metrics, GPU health monitoring, and/or AI/ML and bioinformatics workloads on shared compute platforms. Experience with containerised HPC and scientific workflow tooling, such as Apptainer/Singularity, Docker/Podman, Pyxis/Enroot, Nextflow, Snakemake, CWL, or WDL. Experience building monitoring and operational dashboards using Prometheus, Grafana, exporter metrics, alerting rules, or capacity and reliability reporting. Familiarity with identity, access, and security controls in Linux or research environments, such as OIDC, Okta ASA/PAM, least-privilege access, and security patching. Experience working in a scientific, academic, life-science, or research computing environment where requirements evolve through close collaboration with researchers. Our Benefits Salary: Competitive + travel allowance + bonus Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Working Together - What It Involves You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case-by-case basis. You will live in, or within easy commuting distance of, Oxford (or be willing to relocate). Hybrid working
At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionaryscientists, 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 . Welcome to the Generative Biology Institute Led by Founding Director Jason Chin, the Generative Biology Institute (GBI) at the Ellison Institute of Technology is tackling the key challenges in making biology engineerable, and thereby unlocking the unrivalled power of biology for the benefit of humanity. The vision of the GBI is to lay the foundations for engineering biology, and unlock its potential for good. To achieve this, we must overcome two key challenges. First, we need the ability to write in the natural language of biology, enabling the rapid and scalable synthesis of entire genomes with precision. Second, we must understand what to write - determining which DNA sequences will generate biological systems that perform the desired functions. Addressing these challenges will allow us to harness the full power of biology to create transformative solutions across health, agriculture, clean energy and more. GBI will have sustained and substantial funding to support the unique scale and ambition of its ground-breaking vision for engineering biology. GBI researchers will also be supported by cutting-edge technology hubs including mass spectrometry, flow cytometry, sequencing, automation, imaging, and bioprocessing. GBI will also have access to substantial compute resources that can be leveraged to further accelerate progress, including scientific compute, bioinformatics, and machine learning. The environment at GBI will allow researchers to undertake ambitious, long-term, collaborative research, and we will actively support the translation of research to commercial applications, where appropriate. The Generative Biology Institute commenced operations in 2025, occupying newly renovated bespoke space in the Oxford Science Park. The team will later move to a purpose-made facility in the Oxford Science Park, currently under construction. Once complete, this state-of-the-art facility will include more than 40000 m2 of research laboratory and office space. It will house over 30 groups and up to 600 employees at scale, focused on solving the two critical challenges in making biology engineerable and applying the solutions to addressing the global challenges encapsulated in EIT's Humane Endeavors. Your Role Working as part of a new Scientific Computing team within GBI, the HPC Engineer will help operate, improve, and scale the data and computing platform that will enable cutting-edge research in engineering biology. This is a broad, hands-on role at the interface of Linux systems, high-performance computing, cloud infrastructure, Kubernetes, Slurm, storage, monitoring, and researcher support. They will help turn emerging researcher needs and operational lessons into robust platform improvements, reusable tooling, and clear runbooks. This role is particularly suited to someone who enjoys practical systems work, learning new technologies, and collaborating closely with scientists and engineers. We do not expect candidates to have deep experience in every technology listed in this description. Instead, we are looking for a strong, scientifically minded systems engineer: someone who can troubleshoot complex environments, communicate clearly with multidisciplinary teams, learn unfamiliar tools quickly, and help build reliable, scalable services that advance GBI's scientific mission. Key Responsibilities Operate, maintain, and improve GBI's hybrid HPC platform, including Linux-based compute environments, Slurm/Slinky workloads, Kubernetes/OKE services, Open OnDemand, GPU and CPU partitions, and shared storage. Help provision, configure, scale, and validate compute, storage, networking, and platform services using infrastructure as code, configuration management, and automation tools such as Terraform, Helm and Ansible. Monitor platform health, capacity, job scheduling, GPU utilisation, storage behaviour, and network performance; investigate issues using tools such as Prometheus and Grafana. Support researchers in using our Scientific Computing Platform, including triaging user issues and translating common pain points into platform improvements. Build and maintain reproducible runtime environments, container images, and workflow-supporting services for scientific computing workloads, including bioinformatics, AI/ML, data processing, and simulation workflows. Contribute to safe rollout and maintenance processes for Slurm images, worker node pools, scheduler configuration, container runtime changes, security updates, and monitoring improvements. Create and maintain clear technical documentation, runbooks, validation checks, and issue/PR notes so the platform can be operated consistently and improved safely by the wider team. Essential Knowledge, Skills and Experience Bachelor's or Master's degree in Computer Science, Computational Biology, Engineering, Physics, Mathematics, or a related discipline, or equivalent practical experience. Hands-on experience supporting or administering Linux-based systems in an HPC, cloud, research, academic, or production environment. Working knowledge of HPC or batch-computing concepts, including schedulers, resource requests, queues/partitions, shared filesystems, and multi-user compute environments; Slurm experience is preferred. Ability to troubleshoot issues across systems, networking, storage, identity, containers, schedulers, and user workloads, and to follow problems through to a reliable operational fix. Experience with scripting, automation, and version-controlled operational changes using tools such as Git, CI/CD, Terraform, Ansible, Helm, or similar. Ability to work closely with multidisciplinary research teams, understand scientific computing needs, and deliver practical services that advance scientific goals. Strong communication and documentation skills, with the ability to explain technical concepts clearly to scientists, engineers, and non-specialist audiences. A proactive, learning-oriented approach suited to a new team building and improving a platform while also operating it day to day. Desirable Knowledge, Skills and Experience Experience operating Slurm clusters, Slinky/slurm-operator, Open OnDemand, JupyterLab services, or other researcher-facing HPC portals and access patterns. Experience with Kubernetes or managed Kubernetes platforms such as OCI OKE, EKS, GKE, or AKS, including Helm, Argo CD, operators, services, storage classes, and workload troubleshooting. Experience with cloud infrastructure, particularly OCI, and with infrastructure as code and remote execution models such as Terraform Cloud. Experience with shared and high-performance storage such as Lustre, BeeGFS, GPFS, NFS, OCI File Storage, object storage, or data movement workflows for large scientific datasets. Experience supporting GPU-accelerated workloads, NVIDIA tooling, CUDA-aware environments, DCGM metrics, GPU health monitoring, and/or AI/ML and bioinformatics workloads on shared compute platforms. Experience with containerised HPC and scientific workflow tooling, such as Apptainer/Singularity, Docker/Podman, Pyxis/Enroot, Nextflow, Snakemake, CWL, or WDL. Experience building monitoring and operational dashboards using Prometheus, Grafana, exporter metrics, alerting rules, or capacity and reliability reporting. Familiarity with identity, access, and security controls in Linux or research environments, such as OIDC, Okta ASA/PAM, least-privilege access, and security patching. Experience working in a scientific, academic, life-science, or research computing environment where requirements evolve through close collaboration with researchers. Our Benefits Salary: Competitive + travel allowance + bonus Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Working Together - What It Involves You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case-by-case basis. You will live in, or within easy commuting distance of, Oxford (or be willing to relocate). Hybrid working
Ellison Institute, LLC
Oxford, Oxfordshire
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-driven government innovation, 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 currently recruiting for a Data Architect to support the EIT Pathogen Programme. In this role, you will play a pivotal part in designing and implementing cutting-edge data architectures to support the pathogen mission. You'll collaborate closely with cross-functional teams to understand business requirements and translate them into robust data models and architectures. As a Data Architect , you'll have the opportunity to shape the future of our data platform and collaborate with platform and product teams to deliver analytical and AI products to transform pathogen monitoring and diagnostics. You'll be responsible for defining data standards, data models and best practices to ensure the integrity, security, and accessibility of our data assets. Additionally, you'll play a key role in optimising data processes and workflows, driving efficiencies, and fostering a data-driven culture within the organisation. Key Responsibilities: Understand and manage the data requirements by working with stakeholders to analyse requirements and identifying those of architectural significance Formulating the data model and standards to be used by the data platform to support interoperability and federation to support pathogen monitoring and research Communicating the data architecture to various stakeholder groups within EIT Developing data architectures including different data flows, data lifecycle, data security, durability, as well as applying consistent documentation standards and architecture methods Supporting developers and making sure they can realise the data architecture by a combination of mentoring and direct involvement Responsible for producing architecture artifacts and presenting the work through architecture governance Verifying implementations and ensuring the delivered systems is consistent with the agreed architecture and meets requirements Defining architecture data standards are defined to ensure compliance. This may include Medical Device Accreditation (where relevant) Ensuring that squads have available a set of standard patterns, guidance, and technical standards to help them deliver Ensuring solutions are documented and assured through defined architecture governance processes Essential Knowledge, Skills and Experience: Knowledge and experience of architecting and delivering modern data platform standards, tools and patterns including data lakes, lake houses, iceberg, data mesh Experience of architecting, building, and delivering modern data platforms at scale Familiar with TOGAF and other enterprise architecture frameworks Experience and knowledge of data governance, data quality, and data cataloguing Knowledge of master, metadata and reference data management An understanding of Agile working practices and sprint based methodology Capable of actively contributing to knowledge sharing Desirable Knowledge, Skills and Experience: Knowledge of genomics Experience with cloud-based data platforms preferably Oracle OCI or equivalent AWS and Azure services Understanding of federation standards for genomics ( ga4gh) Understanding of data standards for pathogen data interoperability PHA4GE Experience of architecting data standards for research environments Experience with healthcare clinical data and associated standards OMOP , snowmed Key Attributes: Collaboration Ability to work in a fast-paced environment Willingness to learn and cross train / upskill in new technology Willingness to be hands on to explore new technology or develop POC's We offer the following salary and benefits: Salary: Competitive Salary on offer Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electrical Car Scheme Why work for EIT: At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect, and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact! Terms of Appointment: You must have the right to work permanently in the UK with a willingness to travel as necessary. You will live in, or within easy commuting distance of, Oxford. During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme.
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-driven government innovation, 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 currently recruiting for a Data Architect to support the EIT Pathogen Programme. In this role, you will play a pivotal part in designing and implementing cutting-edge data architectures to support the pathogen mission. You'll collaborate closely with cross-functional teams to understand business requirements and translate them into robust data models and architectures. As a Data Architect , you'll have the opportunity to shape the future of our data platform and collaborate with platform and product teams to deliver analytical and AI products to transform pathogen monitoring and diagnostics. You'll be responsible for defining data standards, data models and best practices to ensure the integrity, security, and accessibility of our data assets. Additionally, you'll play a key role in optimising data processes and workflows, driving efficiencies, and fostering a data-driven culture within the organisation. Key Responsibilities: Understand and manage the data requirements by working with stakeholders to analyse requirements and identifying those of architectural significance Formulating the data model and standards to be used by the data platform to support interoperability and federation to support pathogen monitoring and research Communicating the data architecture to various stakeholder groups within EIT Developing data architectures including different data flows, data lifecycle, data security, durability, as well as applying consistent documentation standards and architecture methods Supporting developers and making sure they can realise the data architecture by a combination of mentoring and direct involvement Responsible for producing architecture artifacts and presenting the work through architecture governance Verifying implementations and ensuring the delivered systems is consistent with the agreed architecture and meets requirements Defining architecture data standards are defined to ensure compliance. This may include Medical Device Accreditation (where relevant) Ensuring that squads have available a set of standard patterns, guidance, and technical standards to help them deliver Ensuring solutions are documented and assured through defined architecture governance processes Essential Knowledge, Skills and Experience: Knowledge and experience of architecting and delivering modern data platform standards, tools and patterns including data lakes, lake houses, iceberg, data mesh Experience of architecting, building, and delivering modern data platforms at scale Familiar with TOGAF and other enterprise architecture frameworks Experience and knowledge of data governance, data quality, and data cataloguing Knowledge of master, metadata and reference data management An understanding of Agile working practices and sprint based methodology Capable of actively contributing to knowledge sharing Desirable Knowledge, Skills and Experience: Knowledge of genomics Experience with cloud-based data platforms preferably Oracle OCI or equivalent AWS and Azure services Understanding of federation standards for genomics ( ga4gh) Understanding of data standards for pathogen data interoperability PHA4GE Experience of architecting data standards for research environments Experience with healthcare clinical data and associated standards OMOP , snowmed Key Attributes: Collaboration Ability to work in a fast-paced environment Willingness to learn and cross train / upskill in new technology Willingness to be hands on to explore new technology or develop POC's We offer the following salary and benefits: Salary: Competitive Salary on offer Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electrical Car Scheme Why work for EIT: At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect, and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact! Terms of Appointment: You must have the right to work permanently in the UK with a willingness to travel as necessary. You will live in, or within easy commuting distance of, Oxford. During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme.