EdTech Job – Bioinformatics Pipeline and Data Manager at University of Oxford

Location: Centre for Human Genetics, Building for Genomic Medicine, Roosevelt Drive, Oxford, OX3 7BN

The Centre for Human Genetics at the University of Oxford is seeking a Bioinformatics Pipeline and Data Manager to join the Multiomics Technology Platforms (MTP) team, led by Dr. Paolo Piazza. This role offers an exciting opportunity to play a pivotal part in managing and advancing computational infrastructure that supports cutting-edge multiomic technologies such as next-generation sequencing, spatial transcriptomics, and proteomics.

Key Responsibilities:

• Process raw data generated across MTP platforms and transform it into formats suitable for downstream analysis and delivery to collaborators.
• Develop, maintain, and optimize automated bioinformatics pipelines, integrating new tools and technologies as needed.
• Manage data storage, transfer, and archival securely and in accordance with institutional policies.
• Conduct quality control analyses, generate clear QC reports, maintain accurate technical documentation, and draft standard operating procedures (SOPs).
• Collaborate with wet lab scientists, bioinformaticians, and project managers to ensure seamless project delivery.
• Provide technical advice, troubleshoot issues, and contribute to the development of scientific outputs such as publications and grant applications.
• Participate in departmental and university training sessions, as well as public engagement activities.

Essential Qualifications and Experience:

• An MSc or equivalent qualification in Human Genetics, Bioinformatics, or a closely related field.
• Proficiency in Unix and experience working in a high-performance computing (HPC) environment.
• Demonstrated experience in building and maintaining automated workflows and pipelines using tools such as Snakemake, Nextflow, or equivalents.
• Solid understanding of genomics, next-generation sequencing, and/or multiomics technologies.

Desirable Skills:

• Proficiency in scripting languages such as Python or R.
• Experience working with multiomic datasets.
• Familiarity with data portals or Laboratory Information Management Systems (LIMS) integration.

Application Process:

Applications must be submitted online, including a supporting statement and curriculum vitae (CV). In your supporting statement, explain how your skills and experience meet the selection criteria outlined in the job description. Please limit your submission to these two documents; additional materials will be requested if necessary.

This is a full-time, fixed-term position for 12 months, funded by the department.

Application Deadline: Applications must be received by 12:00 noon on Thursday, 16 July 2026. Please ensure that you quote the reference 184916 in all correspondence