Our HTGF Portfolio of startups offers excellent opportunities and is always hiring talented people.
Resolve BioSciences
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.
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.
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!