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 for computational downstream analysis of molecular cartography spatial multi-omic datasets. 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. Design and evaluate targeted gene panels for performance and accuracy. Assess the impact of technical variables (e.g., cell segmentation) on data analysis results. 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 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 downstream analysis in oncology and/or systems immunology is preferred. 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 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. 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! About us What you can expect from us: Helping to shape things instead of just running along: We never stand still - and your ideas count. Short paths, clear words: Direct communication instead of detours. Quick decisions: We are quick, pragmatic and solution-oriented. Growth with purpose: You continue to develop - as part of a meaningful mission. @Resolve - We ACT: Accountability - We take responsibility - for each other and for achieving our goal. Courage - We question, try things out, keep at it and move forward courageously. Trust - We trust in ourselves, each other and grow together and pull together - One Team