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.