Research Data Integration & Software Developer Full-time

Research Data Integration & Software Developer

We have an exciting opportunity for a Research Data Integration and Software Developer to join Oxford Cancer, a city-wide research initiative and partnership between Oxford University, Oxford University Hospitals NHS Trust, Thames Valley Cancer Alliance and the Oxfordshire Clinical Commissioning Group. We seek to harness Oxford's world-leading cancer research from our growing network of 1,000+ members who are working in cancer-related fields. This network covers a range of disciplines, all with the core aim of facilitating collaboration to ensure rapid translation of scientific discovery to treatments for patients.

The role requires a competent and multi-skilled data manager with proficiency in programming, to help develop and maintain cancer data information systems, which underpin a variety of projects supporting precision cancer medicine research at Oxford Cancer. The role will focus on supporting the established database, web systems, and frameworks for high-throughput data processing and integration. The role will also involve utilizing high-performance computing clusters, storage systems, databases, and web applications to manage and integrate cancer data. This is a diverse role and will involve contributing to database and software development projects at all stages of their lifecycle.

The post holder will be line managed by the Strategic Data Platform Development Lead and will work closely with Oxford researchers, principal investigators, and their collaborators across the UK. The post is based at Oxford Cancer, OCDEM, Churchill Hospital, Oxford OX3 7LE and is offered on a full-time, fixed-term basis until 31st March 2028. An early start date is essential for this role.

You will hold a postgraduate qualification with a significant computer science/bioinformatics component, or have a relevant degree and demonstrable experience of large-scale IT enterprise solutions. You will be able to demonstrate a working knowledge of R/Python related to data processing and analytic pipelines. You will have previous project management experience for the planning, development, roll-out, and support of client-facing software systems and experience of designing or implementing data integration solutions, data models or software systems to support research or other complex data environments. You will have experience of Unix operating systems and utilization of systems under significant computational load (e.g., clustering of servers and/or storage).

You will have excellent interpersonal and verbal/written communications skills, with the ability to work with people at all levels of organizational seniority, along with a disciplined and professional approach to work, ability to work unsupervised and to contribute as an effective member of the team to deliver team orientated goals. Demonstrable decision-making skills and the ability to apply original thought in order to develop appropriate solutions to complex administrative and management problems is essential.

As an employer, we genuinely care about our employees' wellbeing and this is reflected in the range of benefits that we offer including: an excellent contributory pension scheme, 38 days annual leave inclusive of bank holidays (pro rata for part time), a comprehensive range of childcare services, family leave schemes, cycle loan scheme, discounted bus travel and season ticket travel loans, membership to a variety of social and sports clubs.

If you would like to discuss this role please contact Andrew Blake at andrew.blake@oncology.ox.ac.uk. You will be required to upload a supporting statement (setting out how you meet the selection criteria), a curriculum vitae and the names and contact details of two referees as part of your online application. All applications must be submitted online via the University of Oxford's e-recruitment system by 12 noon (UK time) on Thursday, 22 October to be considered.

We welcome applications from individuals from all backgrounds, including those under-represented within higher education. No applicant or members of staff shall be unlawfully discriminated against on the basis of age, disability, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex, or sexual orientation.