Scientist - Computational Biology [m/f/d]

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] to join our Assay Development team.

By working closely with biologists and biomedical experts, you will be responsible for the computational analysis of high-dimensional spatial single-cell data, with a strong focus on immuno-oncology and targeted gene panel design. 

This is a full-time position based at our company headquarters in Monheim am Rhein, Germany, where you will collaborate closely with the Application Development, Molecular Biology, and Data Science teams.

• Apply software tools and pipelines for computational downstream analysis of Molecular Cartography spatial multi-omic datasets.

• Design and evaluate targeted gene panels 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.

Your profile

• 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. 

• Experience in computational single cell analysis in oncology and/or systems immunology is preferred. 

• Strong foundational understanding of statistics and its application to biological data. 

• 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 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.

Personal Characteristics

Why us?

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!