Senior Scientist Bioinformatics (m/f/d)
Indexed description
Your responsibilities include:
- Analyze and interpret complex transcriptomic and multi-omics datasets, including bulk and single-cell RNA-seq, spatial transcriptomics, proteomics, metabolomics, and ctDNA analysis
- Integrate data from diverse sources, including publicly available datasets (e.g., TCGA and GEO) and clinical trial samples, to generate biologically meaningful insights
- Develop, implement, and optimize computational pipelines for processing and analysis of high-throughput sequencing data
- Ensure high data quality through robust quality control, normalization, and reproducible analysis workflows
- Organize, manage, and maintain large-scale datasets in a structured and accessible manner
- Document analytical methods, workflows, and results to ensure transparency and reproducibility
- Provide scientific leadership for assigned research projects by proactively building structured research plans and driving execution in alignment with company strategy and translational objectives
- Translate research questions into clear analytical strategies and guide projects from data-driven hypothesis generation to actionable conclusions
- Stay current with advances in bioinformatics and emerging technologies, and apply innovative methods where appropriate
- Collaborate closely with scientists, clinicians, and cross-functional teams to interpret data and inform experimental design
- Communicate findings effectively through presentations, reports, and contributions to scientific publications
- Contribute to collaborative research projects that support biomarker discovery and clinical development
- Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related field
- Proficient in programming languages such as Python, R, or similar
- Experienced with bioinformatics tools and workflows for bulk and single-cell RNA-seq and spatial transcriptomics analysis (e.g., STAR, HISAT2, DESeq2, Seurat, Scanpy, Squidpy)
- Hands-on experience with bulk and single-cell RNA-seq and spatial transcriptomics, including data visualization approaches; additional experience with proteomics, metabolomics, and ctDNA data is a plus
- Strong understanding of statistical methods for high-dimensional data analysis
- Proven ability to work with and derive insights from large-scale biological datasets
- Experience in immunology, preferably with a focus on tumor immunology, is considered an asset
- Experienced in interdisciplinary collaboration and contributing to scientific publications
- Strong problem-solving skills and critical thinking, with a structured and hypothesis-driven approach to research
- Ability to translate research questions into clear analytical strategies and guide projects from data generation to actionable conclusions
- Excellent communication skills, both written and verbal
- Able to manage multiple projects, prioritize effectively, and meet deadlines in a dynamic environment
- The opportunity to contribute to the advancement of a promising clinical-stage oncology program
- A role within a dynamic biotech company at the forefront of innovative cancer therapies
- A collaborative and supportive team environment with a strong sense of shared purpose
- Flexible working arrangements, including the option for partial remote work while maintaining regular on-site collaboration
- A secure, permanent employment contract
- A competitive compensation package and attractive employee benefits
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