We are seeking a highly motivated and skilled Research Associate to join Zoltán Takáts’ team in the Department of Metabolism, Digestion and Reproduction in the Faculty of Medicine. This position is part of a cutting-edge research programme focused on the development of molecularly aware cancer treatment, with particular emphasis on in-vivo cancer margin detection and ex-vivo imaging using multi-omics and ambient ionisation mass spectrometry technologies. You will lead the optimisation and application of mass spectrometry imaging and ambient ionisation workflows, encompassing sample preparation, data acquisition, instrument management, and biological interpretation. The project aims to establish clinically actionable biomarkers used for cancer phenotyping and margin detection. These will be translated into more clinically useful algorithms for use with microrobots being developed as part of the project for first in human deployment, in close collaboration with pathologists, engineers, data scientists, and analytical chemists.
In this role, you will:
1. Optimise and develop ambient ionisation mass spectrometry methods (including DESI and REIMS) for analysis of clinical samples.
2. Contribute to the development and optimisation of mass spectrometry imaging (MSI) workflows for tissue analysis.
3. Maintain and troubleshoot mass spectrometry instrumentation and associated hardware.
4. Support the development of clinically relevant biomarker panels through high-quality data generation and interpretation.
5. Prepare findings for publication and present results at scientific meetings.
6. Work closely with a multidisciplinary team to integrate metabolomic insights into a broader cancer biology framework.
7. A PhD (or equivalent) in Biochemistry, Biomedical Sciences, Analytical Chemistry, or a closely related field.
8. Hands-on experience in mass spectrometry-based analysis of clinical samples.
9. Experience with ambient ionisation mass spectrometry techniques such as DESI and REIMS.
10. Practical experience using MS instrumentation, particularly Waters systems.
11. Experience with mass spectrometry imaging (MSI)
12. Demonstrated experience in developing and optimising and applying ambient ionisation mass spectrometry techniques on a range of samples
13. Experience with multivariate statistical methods and data interpretation.
14. Strong communication skills and a collaborative mindset.
15. The ability to work independently, work based on SOPs and manage complex experimental workflows.
16. The opportunity to work on a high-impact, translational cancer research project.
17. Access to world-class mass spectrometry and clinical research infrastructure at Imperial College London.
18. Development in cutting-edge omics technologies and data science methods.
19. The chance to collaborate with leading experts in cancer research.
20. Hybrid working options to support work-life balance.
21. The opportunity to continue your career at a world-leading institution
22. Sector-leading salary and remuneration package (including 39 days off a year)