YOUR MISSION

Improve the future of cancer treatment with us - determined, courageous and as a team!
At Resolve Biosciences, we are working to better understand complex biological processes - with the aim of enabling new therapeutic approaches. To do this, we need people who think boldly, take responsibility and enjoy learning
We are looking to hire a passionate Scientist - Computational Biology [f/m/d] into our Assay Development Team.
By working closely with biologists and biomedical experts, you will be responsible for the computational downstream analysis of high-dimensional spatial single-cell data, with a strong focus on immuno-oncology and targeted gene panel design.
The role is based in the company’s headquarters in Monheim am Rhein, Germany.

Responsibilities:

• Collaborate within cross-functional teams to apply software tools and pipelines forcomputational downstream analysis of molecular cartography spatial multi-omicdatasets.
• Derive biological insights from high-dimensional single-cell data (imaging- andsequencing-based), such as cell type identification, differential expression, cellularneighborhoods, and cell-cell communication.
• Design and evaluate targeted gene panels for performance and accuracy.
• Assess the impact of technical variables (e.g., cell segmentation) on data analysisresults.
• Gather requirements from team members and other project teams.
• Train and support internal users in the use of data analysis tools and pipelines.
• Collaborate effectively with internal developers and external partners to achieveshared project goals and meet deadlines.
• Take ownership of personal work planning in alignment with agreed objectives.

• Collaborate within cross-functional teams to apply software tools and pipelines forcomputational downstream analysis of molecular cartography spatial multi-omicdatasets.
• Derive biological insights from high-dimensional single-cell data (imaging- andsequencing-based), such as cell type identification, differential expression, cellularneighborhoods, and cell-cell communication.
• Design and evaluate targeted gene panels for performance and accuracy.
• Assess the impact of technical variables (e.g., cell segmentation) on data analysisresults.
• Gather requirements from team members and other project teams.
• Train and support internal users in the use of data analysis tools and pipelines.
• Collaborate effectively with internal developers and external partners to achieveshared project goals and meet deadlines.
• Take ownership of personal work planning in alignment with agreed objectives