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NGS Scientist

Gi Life Sciences Basel

Suiza📅 1/10/2026

Descripción

--- base: / meta-keywords: meta-viewport: width=device-width, initial-scale=1.0 title: NGS Scientist (single-cell and spaital Omics) --- NGS Scientist (single\-cell and spaital Omics) ============================================== For our Client, a leading pharmaceutical company based in Basel, we are looking for a motivated NGS Scientist\- Single\-cell and spatial omics technologies are transforming biomedical research by enabling deep characterization of complex biological systems at unprecedented resolution. These technologies provide critical insights into cellular heterogeneity, disease mechanisms, therapeutic responses, and translational biology. We are seeking a highly motivated Scientist / Associate Scientist to join a cutting\-edge genomics platform team focused on single\-cell sequencing, spatial transcriptomics, and next\-generation sequencing (NGS) applications. The successful candidate will work at the interface of molecular biology, genomics, and translational research, supporting the development and implementation of innovative omics technologies that accelerate scientific discovery and therapeutic innovation. Key Responsibilities * Develop, optimize, and implement advanced NGS\-based workflows with a focus on: * Single\-cell RNA sequencing (scRNA\-seq) * Spatial transcriptomics * Multi\-omics and multimodal profiling approaches * Independently perform molecular biology experiments and troubleshoot complex workflows. * Execute sample processing, nucleic acid extraction, PCR/qPCR, library preparation, sequencing, and quality control activities. * Generate, analyze, and document experimental results with a high level of scientific rigor. * Work with challenging sample types including FFPE tissues, primary samples, and low\-input materials. * Collaborate closely with bioinformatics and cross\-functional research teams to interpret sequencing datasets and derive biological insights. * Ensure generation of high\-quality, FAIR\-compliant data. * Present sci
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