Join an interdisciplinary, international project with the aim of integrating spatial metabolomics in form of mass spectrometry imaging into a new digital pathology platform!

JOB DESCRIPTION

We are seeking a motivated postdoctoral researcher to join the Maastricht MultiModal Molecular Imaging institute, Europe’s leading mass spectrometry imaging center, to investigate lung cancer patients with the aim to build predictive models of their clinical outcome. This will be in the context of the Interreg project DigiPathConnect. Click here for more information on the project.
Your responsibilities will include conducting the mass spectrometry imaging experiments using state-of-the-art instrumentation on a selected lung cancer sample cohort, performing data analysis, and collaborating with the project partners to integrate the data and models into a new digital pathology platform. This aims at helping pathologists to increase diagnostic accuracy and stratify patients for their individual therapies.
To achieve this, you will closely collaborate with clinicians, data analysts, analytical scientists, and the platform developers in an interdisciplinary and international team located at several universities, companies, and medical centers in the Euregio Meuse-Rhine (Germany – NRW, Belgium – East, Netherlands – Limburg).
Besides the experimental and collaborative aspects of the project, your work will include presenting and publishing your research findings and participating in educational activities of the institute.

Responsibilities and tasks:

• Perform mass spectrometry imaging experiments on lung cancer cohort.
• Perform data analysis to build predictive models.
• Develop framework with clinicians, data analysts, analytical scientists, and software developers for integrating the data and models in an optimal way into a digital pathology platform
• Present findings at (inter)national conferences and publish in peer-reviewed journals.
• Taking on educational roles at Maastricht University.

Expected incorporation:

• Ideally July – September 2025.

REQUIREMENTS

We are looking for a candidate with strong analytical abilities, problem-solving skills, and a collaborative mindset. The ideal candidate should be able to work independently, manage complex data, and communicate effectively within an interdisciplinary team. Candidates should be committed to scientific integrity and open, transparent research practices.

Our ideal candidate has:

• PhD in molecular biology, biomedical sciences, chemistry or similar.
• Experience with mass spectrometry.
• Experience in dealing with multidimensional datasets (such as omics data) and interpretation of microscopic images of biological tissues (histology).
• Proficiency in English language.
• Publication record demonstrating publishing expertise.

MAASTRICHT UNIVERSITY

Why work at Maastricht University?
At Maastricht University (UM), everything revolves around the future. The future of our students, as we work to equip them with a solid, broad-based foundation for the rest of their lives. And the future of society, as we seek solutions through our research to issues from all around the world. Our six faculties combined provide a comprehensive package of study programmes and research.
In our teaching, we use the Problem-Based Learning (PBL) method. Students work in small groups, looking for solutions to problems themselves. By discussing issues and working together to draw conclusions, formulate answers and present them to their peers, students develop essential skills for their future careers.
With over 22,300 students and more than 5,000 employees from all over the world, UM is home to a vibrant and inspiring international community.
Are you drawn to an international setting focused on education, science and scholarship? Are you keen to contribute however your skills and qualities allow? Our door is open to you! As a young European university, we value your talent and look forward to creating the future together.

• Perform mass spectrometry imaging experiments on lung cancer cohort.
• Perform data analysis to build predictive models.
• Develop framework with clinicians, data analysts, analytical scientists, and software developers for integrating the data and models in an optimal way into a digital pathology platform
• Present findings at (inter)national conferences and publish in peer-reviewed journals.
• Taking on educational roles at Maastricht University