Data and DevOps Engineer (Biotech) in Oxford

Many cancers and other diseases are caused, or resist treatment, because T cells can't recognize or target cells correctly. We’re progressing first-in-class antigen modulators through the clinic, developed to treat disease by controlling T cell activation. Our technology modulates antigen presentation, flicking a switch inside cells to alter their appearance to the immune system. This approach marks a fundamental shift in how we treat people living with autoimmune disorders, cancers and infectious diseases.

We are recruiting to join our IT team. This role will operate at the intersection of IT and business teams (including Bioinformatics), driving data management, engineering, software development and infrastructure best practices. The role will play a fundamental part in shaping Greywolf’s data strategy, including the design, delivery, and maintenance of data infrastructure to support data integration, analytics, and governance across the organisation. You will help Greywolf evolve, ready for the next phase of growth enabling the production of robust, reproducible and version-controlled bioinformatics workflows.

Core Responsibilities

• Design, build and maintain cloud architecture, infrastructure and services within AWS, following best practices for security, reliability and scalability.
• Collaborate closely with bioinformaticians and computational biologists to translate scientific workflows into robust, automated CI/CD pipelines, utilising orchestration frameworks (e.g. Nextflow) where appropriate.
• Implement containerisation (e.g. Docker) to improve reproducibility traceability of bioinformatics workflows.
• Support infrastructure-as-code (e.g. CloudFormation) to ensure environments are versioned and auditable.
• Architect strategic and scalable data infrastructure, models and ingestion pipelines to support structured and unstructured scientific and business data.
• Deploy and integrate analytics and reporting platforms such as Microsoft Fabric, Power BI and Spotfire.
• Improve data provenance, lineage, and auditability to support scientific integrity and regulatory expectations.
• Act as a technical bridge between engineering and science, ensuring solutions are fit for purpose and user-friendly.
• Produce clear, precise and accurate technical documentation.
• Manage and oversee third parties responsible for AWS monitoring, maintenance and delivery where external capacity or expertise is necessary.
• Operate with a continuous improvement mindset to identify and remediate issues proactively.

Skills, Knowledge, Qualifications and Experience

• Proven experience as a DevOps Engineer, Platform Engineer, or similar role within a Biotechnology, Life Sciences or Pharma organisation.
• Demonstrated expertise with AWS, CloudFormation and Docker.
• Proficiency with hands-on administration of Linux-based systems.
• Experience building and maintaining CI/CD pipelines.
• Experience documenting master data schemas and with master data management.
• Experience designing and developing data pipelines and ETL procedures.
• Ability to work collaboratively with stakeholders, particularly bioinformaticians and scientists.

If you are passionate about data and DevOps and want to work in a fast growing and exciting company, we invite you to apply and contribute to our mission of advancing ground-breaking discoveries.

What Sets You Apart

• Strategic experience in data governance, lineage and reproducibility in regulated or research-driven environments.
• Exposure to Microsoft Fabric, Azure data services, or modern BI platforms.
• Experience implementing AI services such as Amazon Bedrock.
• DevOps information security experience and certifications.
• Experience integrating systems using APIs.

Perks and Benefits

• 2 holiday office shut-down periods during July and December, in addition to 25 days annual holiday.
• Flexible, hybrid working (you should be able to attend our office in Milton Park, Oxfordshire 1-2 times per week and travel to partner sites, board and other meetings, as required).