Postdoc in Computational Palaeoproteomics

Required Qualifications

• A PhD in palaeoproteomics, proteomics, bioinformatics, computational biology, archaeological science or a closely related field.
• Experience with computational analysis and interpretation of LC-MS/MS proteomics data.
• Experience with both data-dependent acquisition and targeted PRM analysis, using MaxQuant, Skyline or comparable tools.
• Proficiency in R or Python and Bash, including workflow automation in Linux or HPC environments.
• Experience developing database-backed scientific software or web applications using Java/Spring, Vaadin and PostgreSQL, or equivalent technologies.
• Experience with relational database design, sample and workflow traceability, and structured results management.
• Experience with reproducible software practices, including version control, testing, containerisation and continuous integration/deployment.
• Ability to document and communicate computational methods clearly in publications, technical documentation and presentations.
• Ability to work effectively with laboratory researchers, archaeologists, bioinformaticians and external collaborators.
• Strong organisational skills and the ability to deliver independent work to agreed deadlines.
• Excellent spoken and written English.