Scientific Software Engineer

Application Development

• Design and develop internal applications and web-based tools for interrogating biological and biomedical data.
• Build user interfaces using JavaScript / TypeScript and React.
• Develop applications, services, and APIs using C# and .NET.
• Build integrations to external APIs and data providers (commercial, public, and internal scientific resources).
• Deliver maintainable, well-tested, production-quality software suitable for a research-critical environment.

Data & Database Engineering

• Build data-access layers from existing scientific datasets.

Collaboration, Ownership & Delivery

• Work closely with bioinformaticians and data scientists to co-develop applications and AI-powered tools.
• Operate effectively within Agile development methodologies, participating in sprint planning, refinement, and reviews.
• Use Jira for backlog management, task tracking, and delivery planning.
• Take ownership of initiatives from initial idea through delivery, adoption, and long-term maintenance.
• Proactively identify gaps, inefficiencies, or opportunities where new tools, systems, or integrations would benefit scientists.
• Mentor junior developers and scientists in software engineering good practice.

• BSc or MSc in Computer Science, Bioinformatics, or a closely related discipline.
• Demonstrated experience working with biological, biomedical, or life-science data.
• Strong, hands-on experience with:

• C# and .NET
• JavaScript / TypeScript and React

• Proven experience working within Agile development methodologies, including use of Jira.
• Proven ability to design, build and maintain production-quality software systems.
• Ability to work independently, manage priorities, and drive development proactively.
• Strong communication skills and experience collaborating in cross-disciplinary scientific teams.
• Solid grounding in software engineering fundamentals including version control, testing, documentation, and maintainability.

Desirable Experience

• Experience with Microsoft Azure or other cloud platforms (AWS, GCP).
• Experience with graph databases and graph-based data modelling.
• Experience contributing to AI/ML-enabled tools in a scientific or data-driven environment.
• Experience mentoring others or acting as a technical lead or point of reference.
• Working knowledge of Python

• Generous pension scheme with potential employer contribution of up to 10% (based on match contributions)

• Discretionary annual bonus scheme

• Free onsite parking

• Office snacks

• Enhanced holiday entitlement above statutory minimum plus public holidays

• Employee Referral Bonus Program

• Annual training budget for professional development

• New hire share options

• Team building events and activities

Oxford Biotherapeutics (OBT) is a clinical-stage biotechnology company developing innovative antibody-based therapeutics for the treatment of cancer. You will contribute directly to the pre-clinical development of our immuno-oncology pipeline. Our proprietary OGAP® platform, the world's largest cancer-specific membrane protein library enables the discovery of novel, highly tumour-specific antigens for first-in-class ADC, Bispecific T-cell Engager (BITE®), and CAR-based therapeutics. Our lead asset, OBT076, is in Phase 1b clinical development, supported by a strong internal and partnered pipeline with leaders such as Roche, GSK, Bristol Myers Squibb, Boehringer Ingelheim, and Zymeworks. Learn more at www.oxfordbiotherapeutics.com ., At OBT, we foster a culture of innovation, ownership, and collaboration. By bringing together diverse perspectives and expertise, we aim to develop novel therapies to address some of the most challenging diseases. Our people describe our environment as friendly, collaborative, and driven. We are committed to creating a workplace where individuals feel supported, valued, and empowered to contribute built on a foundation of trust, creativity, and mutual respect.