Research Assistant in Proteomics

Economics Network; Oxford; Hybrid; GBP 36,000 - 42,000; Full time

Benefits offered by this job

Pension scheme

Job summary

University of Oxford's Nuffield Department of Medicine invites applications for a Research Assistant in Proteomics to join the Discovery Proteomics Small Research Facility at the Centre for Medicines Discovery. The role involves preparing samples for mass spectrometry, operating LC-MS/MS, and analyzing data to support translational research across Oxford and beyond.

The successful candidate will have a Master’s degree in a relevant field, hands-on MS experience, and excellent organisational and

Qualifications

• Master's degree in biology, chemistry, biochemistry or analytical chemistry.
• Hands-on experience with sample preparation for bottom-up proteomics workflows.
• Experience operating mass spectrometers and performing basic instrument maintenance.
• Ability to analyse proteomics data using statistical software.

Responsibilities

• Prepare samples for LC-MS/MS and run high-throughput proteomics workflows.
• Operate LC-MS/MS instrumentation and maintain instrument performance.
• Track projects and incoming samples; maintain accurate lab records.
• Produce reports and visual outputs for collaborators.

Skills

Strong analytical skills

Lab techniques

Data analysis

Communication skills

Education

Master's degree in biology/chemistry/biochemistry/analytical chemistry

Tools

Mass spectrometry

R

Python

Job description

Location:-Centre for Medicines Discovery, NDM Research Building, Old Road Campus, Headington, Oxford, OX3 7FZ

The Nuffield Department of Medicine is recruiting a highly motivated Research Assistant in Proteomics to join the Discovery Proteomics Small Research Facility at the Centre for Medicines Discovery. Discovery Proteomics is one of the leading proteomics laboratories in the UK and Europe, bringing together state-of-the-art mass spectrometry technology with collaborations spanning fundamental, clinical and applied research across Oxford, the UK and internationally.

Working within this collaborative research environment, the successful candidate will support both laboratory and data analysis activities. The role will involve preparing samples for mass spectrometry, operating LC-MS/MS instrumentation and high-throughput equipment, and analysing proteomics data using specialist software and statistical tools. They will help oversee the day-to-day running of an LC-MS/MS set-up, work with samples including body fluids, patient tissue biopsies and cell cultures, undertake laboratory quality control, and contribute to the development and implementation of targeted and untargeted mass spectrometry workflows. The postholder will also track projects and incoming samples, maintain accurate laboratory records, produce reports and visual outputs for collaborators, and contribute ideas to research projects and publications.

It is essential that you hold a Master’s degree in biology, chemistry, biochemistry or analytical chemistry and have practical experience of sample preparation for bottom-up proteomics workflows. Hands-on experience operating mass spectrometers, undertaking basic instrument maintenance, and analysing proteomics data using statistical packages is essential. The successful candidate will combine a methodical and precise approach with strong organisational and communication skills, the ability to manage competing priorities, and a genuine interest in supporting scientific research within a team environment. Knowledge of R or Python, experience of high-throughput proteomics and sample-handling automation, or experience with targeted mass spectrometry would be advantageous.

This position is offered full time on a fixed term contract for 12 months and is funded by the Department.

Only applications received before 12 midday on 1 October 2026 will be considered. Please quote186200on all correspondence.

£35,681 to £41,636 per annum (pro rata). Research Grade 6.This is inclusive of a pensionable Oxford University Weighting of £1,730 per year (pro rata).