MSSOP provides access to methods for spatial analysis of RNA, protein, metabolite, and lipid distributions in (patient) tissues and disease models such as organoids. The successful candidate will play a pivotal role in coordinating the project portfolio of MSSOP, bridging the spatial omics methodologies that differ in scale, spatial resolution, targeted vs. untargeted detection, multiplexing capability, and throughput. This position offers a unique opportunity to work at the intersection of biomedical science, data analysis, imaging, and technology; and develop a competitive career in spatial-omics methods and -data analysis.

Job description: Collaborate closely with researchers to support their spatial experiment design.Coordinate projects combining multiple spatial omics approaches.Independently develop and implement analysis methodologies using cutting-edge technology. Utilize your knowledge of tissue biology to inform spatial data analysis strategies.Apply data science techniques, particularly in Python and R, to analyze spatial or single-cell data. Contribute to the development of data analysis pipelines and tools.Mentor and provide guidance to junior team members (as needed).

Job requirements: PhD or MSc in biomedical sciences, bioinformatics, bioimage analysis or related disciplines. Proven affinity with data sciences and bioinformatics, with experience in Python and R.Familiarity with spatial or single-cell data analysis.Strong self-reliance and ability to work independently.Team-oriented with excellent spoken and written English language skills.

Additional requirements: Passion for spatial biology techniques & a desire to make meaningful contributions to the field. Strong problem-solving skills and attention to detail. Enthusiastic and collaborative mindset. Ability to thrive in a dynamic and fast-paced research environment.

We are seeking a Spatial Data Analysis Scientist to join our dynamic team at the Multi-Scale Spatial Omics Platform (MSSOP). MSSOP provides access to methods for spatial analysis of RNA, protein, metabolite, and lipid distributions in (patient) tissues and disease models such as organoids.

The successful candidate will play a pivotal role in coordinating the project portfolio of MSSOP, bridging the spatial omics methodologies that differ in scale, spatial resolution, targeted vs. untargeted detection, multiplexing capability, and throughput. This position offers a unique opportunity to work at the intersection of biomedical science, data analysis, imaging, and technology; and develop a competitive career in spatial-omics methods and -data analysis.

The maximum salary for this position (36 - 36 hours) is € 5.292,00 gross per month based on full-time employment.

In addition, we offer an annual benefit of 8.3%, holiday allowance, travel expenses and career opportunities. The terms of employment are in accordance with the Cao University Medical Centers (UMC).

Multi-Scale Spatial Omics Platform is a collaboration of several facilities, based at the UMC Utrecht, division LAB, Center for Molecular Medicine (CMM). You will be based in the CMM, and your role will entail a dynamic collaboration with the Sequencing, Mass cytometry, Mass Spectroscopy Imaging facilities and Cell Microscopy Core.

At CMM we focus on research and development of cutting-edge technologies and perform biomedical research to discover the molecular mechanisms of human diseases. We study the changes in molecules, like genes, transcripts, proteins and metabolites that underlie pathological conditions at the cellular, tissue and organismal level. The highly collaborative nature of our investigators and the use of state-of-the-art technologies enables us to study disease-causing mechanisms at different biological levels, from single molecules to organisms.