Bioinformatics Lead
2 weeks ago
上海市, 中国
研发系统
全职
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工作职责
Objectives: -Design and oversee bioinformatics strategies and analytical frameworks for multi-omics data, including genomics, transcriptomics, proteomics, epigenomics, single-cell, and spatial omics. − Lead the development and application of computational methods for target identification/validation, mechanism-of-action studies, and translational research. − Drive biomarker discovery and patient stratification efforts to support precision medicine and companion diagnostics development. − Integrate and interpret diverse datasets (preclinical, clinical, real-world, and public databases) to inform drug development decisions. − Keep abreast of emerging bioinformatics, AI/ML, and computational biology technologies and evaluate their application to company programs.
Experience:
−Ph.
D. in Bioinformatics, Computational Biology, Genomics, Systems Biology, or a related field. − 5+ years of experience in bioinformatics/computational biology, preferably in the pharmaceutical or biotechnology industry. − Proven track record of applying bioinformatics to drug discovery and/or translational medicine, ideally with experience in oncology − Hands-on experience with multi-omics data analysis and integrative analysis in a translational/clinical setting. − Proficiency in programming languages such as R and Python, and familiarity with bioinformatics pipelines and tools. − Experience with high-throughput sequencing data analysis (bulk and single cell), including NGS, RNA-seq, WES/WGS, and related technologies.
Objectives: -Design and oversee bioinformatics strategies and analytical frameworks for multi-omics data, including genomics, transcriptomics, proteomics, epigenomics, single-cell, and spatial omics. − Lead the development and application of computational methods for target identification/validation, mechanism-of-action studies, and translational research. − Drive biomarker discovery and patient stratification efforts to support precision medicine and companion diagnostics development. − Integrate and interpret diverse datasets (preclinical, clinical, real-world, and public databases) to inform drug development decisions. − Keep abreast of emerging bioinformatics, AI/ML, and computational biology technologies and evaluate their application to company programs.
Experience:
−Ph.
D. in Bioinformatics, Computational Biology, Genomics, Systems Biology, or a related field. − 5+ years of experience in bioinformatics/computational biology, preferably in the pharmaceutical or biotechnology industry. − Proven track record of applying bioinformatics to drug discovery and/or translational medicine, ideally with experience in oncology − Hands-on experience with multi-omics data analysis and integrative analysis in a translational/clinical setting. − Proficiency in programming languages such as R and Python, and familiarity with bioinformatics pipelines and tools. − Experience with high-throughput sequencing data analysis (bulk and single cell), including NGS, RNA-seq, WES/WGS, and related technologies.