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A dynamic life science company is looking for a passionate Scientist - Computational Biology to join their Assay Development team in Monheim am Rhein, Germany. The role involves computational analysis of high-dimensional spatial single-cell data with a focus on immuno-oncology, collaborating closely with biologists and experts. Ideal candidates should have a PhD in biology or bioinformatics and 3+ years of relevant experience. Proficiency in R or Python and experience with state-of-the-art tools like Seurat or Scanpy are essential. This full-time position offers opportunities to impact cancer treatment therapies directly.
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.
At Resolve Biosciences, we believe that diversity, equity, and inclusion are essential to our success. We welcome applicants of all genders, ethnicities, nationalities, religions, abilities, and backgrounds to apply for our open positions. We are committed to creating a workplace where everyone feels valued, respected, and supported.
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!