Scientist - Computational Biology [m/f/d]

• Apply software tools and pipelines for computational downstream analysis of Molecular Cartography spatial multi-omics datasets.
• Design application-specific targeted gene panels and evaluate these for performance and accuracy.
• Derive biological insights from high-dimensional single-cell data (imaging- and sequencing-based), such as cell type identification, differential expression, cellular neighborhoods, and cell-cell communication.
• Assess the impact of technical variables (e.g., optical crowding ,cell segmentation) on data analysis results.
• Use solid statistical methods to evaluate data quality, identify patterns, and draw meaningful biological conclusions.
• Collaborate with cross-functional teams and gather requirements from team members and other project teams.
• Train and support internal users in the use of data analysis tools and pipelines when necessary.
• Collaborate effectively to achieve shared project goals and meet deadlines.
• Take ownership of personal work planning in alignment with agreed objectives.

• PhD in biology, bioinformatics, or a related field, with 3+ years of relevant experience.
• Extensive experience analyzing high-dimensional single-cell data (e.g., scRNA-seq, spatial transcriptomics) using state-of-the-art tools such as Seurat or Scanpy.
• Strong foundational understanding of statistics and its application to biological data.
• Experience in computational single-cell analysis in oncology and/or systems immunology is preferred.
• Proficiency in R or Python is required; proficiency in both is preferred.
• Experience with fluorescence microscopy, image analysis, and associated software tools is a plus.
• Familiarity with workflow tools like Snakemake or Nextflow is beneficial.
• Experience with agentic AI systems, including the development and application of autonomous or multi-agent workflows is a strong plus.
• Experience in experimental/study design for harmonized analysis across multiple experiments and large sample sets is a strong asset.
• Exceptional organizational and prioritization skills, with keen attention to scientific detail.
• Structured, team-oriented mindset, with excellent communication skills and a strong focus on common goals.
• Willingness to travel internationally, if required.

We are a young, dynamic life science company with a focus on molecular pathology. Since 2020, we have been working on the fields of application and developing our own Molecular Cartography™ technology, which can be used to visualize gene and protein expression in tissue sections at the subcellular level in high spatial resolution.

Every individual counts: Our current team of around 60 members work in an interdisciplinary manner, with passion and creativity to advance our goal - because only together we can really make a difference!