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Data Scientist
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- The successful candidate will possess strong analytical aptitude, have a high degree of technical competency in computational sciences with a deep theoretical understanding of AI/Client and causal learning paired with an excellent understanding of molecular biology proven by a track record of innovative and collaborative research.
- Identifies opportunities and delivers appropriate quantitative methods, such as AI/Client and causal learning, to push the state of the art for omics-based research biomarker discovery.
- Develops innovative cloud-native bioinformatics workflows for rapid and sustainable omics data processing, quality control, and multi-omics data integration for systemic insights generation of disease biology and therapeutic mode of action.
- Interprets and reports on multi-dimensional studies using bulk, single-cell, and spatial omics technologies that will accelerate the pace of research biomarker discovery and translation in early drug discovery across all Tas.
- PhD in computer science, data science, computational biology or bioinformatics, preferably including industry experience OR Master's degree & 5+ years of directly related experience OR Bachelor's degree & 7+ years of directly related experience
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