Jobs at Ellison Institute Of Technology, Oxford Limited

Provides HR advisory and operational support across the employee lifecycle, including employee relations, onboarding, offboarding, HR records, reporting, learning and development, engagement, policy implementation, compliance, and organisational change. The role partners with HR Business Partners, supports managers and employees, maintains HR system data, contributes to projects, and ensures consistent application of employment legislation and company policies.

Provides strategic, confidential support to the Senior Director and coordinates the People & Engagement function. Responsibilities include roadmap and project tracking, briefing preparation, reporting, process improvement, travel and expense management, budget tracking, and cross-team coordination. The role also contributes to AI-enabled productivity improvements and supports best practices across the executive assistant community.

Build and maintain robust software systems supporting scientific applications. Responsibilities include designing APIs, CLI tools, software modules, distributed systems, ML and hardware integrations, data pipelines, automated testing, benchmarking, deployment, observability, and CI/CD. Collaborate with data engineers, AI scientists, software engineers, and domain experts while promoting strong engineering, security, and documentation practices across multidisciplinary R&D teams.

Develop and lead EIT’s multi-site food and beverage strategy across workplace, public-facing, and event venues. Oversee operations, service standards, food safety, budgets, procurement, suppliers, compliance, and continuous improvement. Build high-performing teams, launch scalable hospitality concepts, manage stakeholder relationships, and support events ranging from executive gatherings to conferences with 500+ attendees.

Provides administrative and logistical support for student events and programming, including registrations, venues, catering, communications, records, supplier administration, meetings, and event evaluation. Manages team inboxes, Salesforce data, documentation, purchase orders, invoices, and stakeholder follow-up while supporting a diverse student community. The role requires strong organization, communication, confidentiality, cultural awareness, and flexibility for occasional out-of-hours event work.

Build and operate high-performance GPU clusters for machine learning training and inference. Design high-throughput compute and storage pathways, optimize I/O and data locality, benchmark distributed systems, and resolve performance bottlenecks. Establish observability, resilience, security automation, quotas, and capacity planning while partnering with research and data teams to scale ML experimentation pipelines.

Build and operate resilient cloud and compute platforms for scientific workloads, including GPU clusters, Kubernetes, networking, storage, CI/CD and GitOps pipelines. Implement Terraform-based infrastructure, Kyverno and YAML Policy-as-Code governance, monitoring, alerting, telemetry and SLOs. Partner with research and data teams to provide self-service capabilities for Python notebooks, ML workloads and distributed computing.

Design, build, automate, secure, and operate scalable Oracle Cloud Infrastructure platforms for enterprise, research, and AI workloads. Manage networking, compute, storage, IAM, monitoring, security, backups, disaster recovery, patching, and reliability. Develop Terraform-based infrastructure and Git CI/CD pipelines, support cloud-native teams with reusable patterns, optimize cost and performance, and maintain documentation, standards, and operational procedures.

Designs, implements, administers, and supports secure hybrid IT infrastructure across on-premises, Azure, OCI, and other cloud environments. Responsibilities include managing Windows and Linux servers, VMware virtualization, storage, networking, backups, disaster recovery, monitoring, patching, capacity planning, incident resolution, documentation, security controls, and infrastructure automation. The role supports enterprise applications, scientific research, and AI workloads while delivering resilience and service improvements.

Administer the scholarship selection process by responding to applicants, troubleshooting applications, researching achievements, sending communications, tracking agreements, conducting due diligence, maintaining databases, supporting interviews and Zoom meetings, and assisting shortlisted candidates with Oxford applications. The role requires highly organized, accurate, discreet administration, strong communication, database skills, Microsoft Office proficiency, and flexibility to work evenings and weekends during peak periods.

Operate and improve security monitoring across endpoints, servers, cloud platforms, and networks. Investigate alerts, respond to incidents, develop detection rules and automation, apply threat intelligence, and support vulnerability management. The role also produces incident documentation, maintains runbooks, contributes to audits and risk assessments, and collaborates with IT, research computing, governance, and legal teams to protect research environments.

Build and operate an end-to-end agentic AI platform for scientists, spanning model endpoints, orchestration, tools, state management, evaluation, observability, failure recovery, APIs, and user interfaces. Work directly with scientists to translate workflows into scalable capabilities, establish technical direction, and shape the product roadmap. The role also requires production-ready, policy-aware systems with durable audit trails and independent ownership from prototype through deployment.

Build software orchestration systems for autonomous laboratories, including scheduling, workflow execution, state management, recovery, agent interfaces, hardware integrations, sensing feedback, experimental data pipelines, and simulation tools. Collaborate with scientists and multidisciplinary engineers to automate laboratory protocols, maintain Python services, improve testing and deployment practices, and debug software directly in the lab.

Build Python software for autonomous laboratories by translating scientific protocols into automated workflows, verification and quality-control systems. Design experimental data models and provenance pipelines, create scientist-facing interfaces, integrate laboratory hardware, and contribute to orchestration and execution systems. Validate automated protocols against manual baselines, simulate hardware, debug live lab runs, and bridge scientific and engineering requirements across a multidisciplinary team.

Develop and optimize automated molecular biology workflows for a device-based pathogen detection platform. Lead nucleic acid extraction, purification, library preparation, and sample processing within fluidic and cartridge-based systems. Design experiments, analyze performance metrics, resolve workflow bottlenecks, and improve assay robustness, reproducibility, and scalability. Collaborate with biology, chemistry, and engineering teams while providing technical leadership from proof of concept through prototype development.

Develop and implement bioinformatics algorithms and ML methods to analyse large-scale genomic and transcriptomic data from complex plant genomes. Translate research questions into analytical plans, integrate methods into production pipelines with engineers, and communicate findings to technical and non-technical stakeholders to accelerate plant science discovery.

Build and maintain scalable bioinformatics data and pipeline infrastructure. Develop and oversee Nextflow pipelines, design ETL/data integration, monitor pipeline performance, document workflows, and collaborate with bioinformaticians, data analysts, and sysadmins to ensure reproducible, optimised data processing for plant science research.

Design, develop, and evaluate computational algorithms and AI/ML methods to translate metagenomic and pathogen sequencing data into clinically actionable results. Validate and benchmark methods on public and internal datasets, collaborate with bioinformaticians and engineers to integrate tools into scalable workflows, and communicate findings to interdisciplinary teams.

The Microfluidics Engineer/Scientist will design and develop microfluidic systems for diagnostic applications, translating biological assays into automated designs, integrating systems, and conducting experimental validations.

Develop, validate and improve reproducible bioinformatics workflows to analyse whole-genome and metagenomic sequencing data (QC, assembly, taxonomic classification, AMR prediction, variant and strain characterisation); interpret complex datasets addressing contamination and low-biomass issues; write and review reproducible scripts/pipelines; collaborate with wet-lab scientists; stay current with infectious disease genomics and suggest workflow improvements.