Scientist - Computational Biology [m/f/d]

at  Resolve BioSciences GmbH

YOUR MISSION

With immediate effect, we are looking to hire a passionate Scientist – Computational Biology [f/m/d] into our Assay Development team. By closely working with biologists and biomedical experts, you will be responsible for computational downstream analysis of high-dimensional spatial single cell data with a strong focus on immuno-oncology.
This is a full-time role, based in the company office in Monheim am Rhein, Germany, where you will be working in close interaction with the Application Development, Molecular Biology and the Data Science team. It comes with the opportunity to work with other company sites around the world.

ABOUT US

The Molecular Cartography™ Company
We are bringing the latest advances in German precision engineering to the biotechnology field.
Together, with our talented team of scientists, commercial experts and investors, we are poised to lead the next generation of single-cell analysis which will enable scientists around the world to apply the power of Molecular Cartography™ and gain new insights based on the highest-resolution view of single-cell spatial biology. Resolve Biosciences is a privately held company headquartered in Monheim am Rhein, Germany with an expanding global footprint, that includes facilities in San José, California, USA.
Our Molecular Cartography™ platform has been well received by scientists through an early access program since 2016. We are now entering into an exciting phase of rapid growth and commercialization.

• Work closely within teams to apply software tools and pipelines for computational downstream analysis of molecular cartography spatial multi-omic datasets.
• Draw biological conclusions from high-dimensional single cell data (imaging and sequencing-based), e.g., by analyzing cell types, differential expression, cellular neighborhoods, and cell-cell communication.
• Evaluation of technical influence on data analysis results (e.g., cell segmentation)
• Evaluate targeted gene panels for performance and accuracy.
• Collect requirements from team members and other project teams.
• Train and support internal users of data analysis tools and pipelines.
• Work effectively with internal developers and external partners in achieving shared project goals and timelines.
• Responsible for personal work planning against agreed-upon objectives.