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Data Scientist Bioinformatics
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Full-time
- The primary purpose of the Data Scientist is to leverage the advancement of next-generation sequencing data to pioneer the discovery and development of groundbreaking therapeutics for cancer patients.
- By pioneering the development of cutting-edge computational tools and algorithms, the Data Scientist will lead the charge in accelerating scientific breakthroughs.
- Advanced knowledge of statistical methods and data analysis techniques relevant to single-cell genomics, including differential expression analysis, clustering, dimensionality reduction, trajectory inference, and data integration.
- Addressing challenges in bioinformatics as well as mitigation strategies such as bias, batch correction, etc.
- Strong programming skills in languages commonly used in bioinformatics and data science, such as Python and R. Ability to write efficient, modular, and maintainable code for data manipulation, analysis, and visualization.
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