Research Scientist II — Single-Cell & Spatial Omics

Novartis

Basel

Vor Ort

CHF 66.000 - 122.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

Novartis in Basel, Switzerland seeks scientists dedicated to applying cutting-edge omics technologies to translational research, leveraging large-scale datasets to illuminate biology and disease.

You will develop and implement NGS methods for single-cell RNA sequencing and spatial multimodal applications, analyze complex data, ensure FAIR data, and collaborate with wet-lab and bioinformatics teams to deliver actionable insights.

Qualifikationen

  • Master's degree and 1–2 years industry experience in genomics, in-situ hybridization, imaging and spatial techniques.
  • Experience with Next-Generation Sequencing (NGS) workflows and molecular biology techniques.
  • Ability to independently conduct experiments, evaluate data, and communicate findings effectively.

Aufgaben

  • Develop, evaluate, and implement innovative NGS methods and protocols, with emphasis on single-cell RNA sequencing and spatial multimodal applications to enhance platform capabilities.
  • Independently perform experiments, analyze data, and generate high-quality reports.
  • Apply scientific rigor to ensure generation of FAIR-compliant data.
  • Collaborate with wet lab and bioinformatics teams to interpret sequencing datasets and provide actionable insights to project teams.
  • Present protocols and results to internal stakeholders.

Kenntnisse

NGS workflows
Single-cell sequencing
Spatial transcriptomics
Data analysis
Communication in English
Collaborative teamwork

Ausbildung

Master's degree in Biochemistry or Life Sciences

Tools

NGS library prep
qPCR
Bioinformatics collaboration

Jobbeschreibung

Novartis in Basel, Switzerland seeks scientists dedicated to applying cutting-edge omics technologies to translational research, leveraging large-scale datasets to illuminate biology and disease.

You will develop and implement NGS methods for single-cell RNA sequencing and spatial multimodal applications, analyze complex data, ensure FAIR data, and collaborate with wet-lab and bioinformatics teams to deliver actionable insights.

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