Senior Scientist Bioinformatics (m/f/d)

Tasks

• Analyze spatial transcriptomics data
• Collaborate with clinicians and cross functional teams
• Develop computational pipelines for sequencing data
• Document methods workflows and results
• Integrate bulk and single cell RNA seq data
• Lead transcriptomic and multiomics analysis
• Maintain reproducible analysis workflows
• Manage large-scale biological datasets
• Perform quality control and normalization
• Present findings and contribute to publications
• Provide scientific leadership for research projects
• Translate research questions into analytical strategies

Perks/Benefits

• Employee benefits
• Flexible work arrangements
• Partial remote work
• Permanent employment contract

Skills/Tech-stack

CtDNA | DESeq2 | Data Analysis | Data Normalization | GEO | HiSat2 | High Dimensional Data | High-Dimensional Data Analysis | Metabolomics | Proteomics | Python | Quality Control | R | RNA-seq | RNA-seq alignment | Reproducible Research | STAR | Scanpy | Seq alignment | Seurat | Single-cell | Single-cell RNA-seq | Spatial transcriptomics | Squidpy | Statistical modeling | TCGA