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Position: Principal Scientist - Computational Biology Lead
Institution: Johnson & Johnson Services Inc.
Location: Shanghai, China
Duties: The Senior or Principal Scientist, Oncology Translational Research will provide data analysis and Computational Biology support for the Oncology therapeutic area. This individual will work in close collaboration with scientists in Translational Research, Discovery, Early and Late Clinical, Discovery Sciences, Data Sciences, and Quantitative Sciences to analyze, integrate, and interpret high dimensional data from a variety of platforms including next-generation sequencing, gene expression microarrays, CyTOF, SNP arrays, RBM, and flow cytometry panels, etc
Requirements: A Ph.D. in Bioinformatics, Computational Biology, Biostatistics or related field with 2 years postdoc and at least 5 years industry experience working on bioinformatics projects is required. Prior Oncology experience in a computational biology, bioinformatics or related setting is required. Experience in one or more of the following is required: high dimensional data integration, gene expression analysis, next generation sequencing analysis, survival analysis, and/or biological network inference
   
Text: Principal Scientist - Computational Biology Lead The Senior or Principal Scientist, Oncology Translational Research will provide data analysis and Computational Biology support for the Oncology therapeutic area. This individual will work in close collaboration with scientists in Translational Research, Discovery, Early and Late Clinical, Discovery Sciences, Data Sciences, and Quantitative Sciences to analyze, integrate, and interpret high dimensional data from a variety of platforms including next-generation sequencing, gene expression microarrays, CyTOF, SNP arrays, RBM, and flow cytometry panels, etc A Ph.D. in Bioinformatics, Computational Biology, Biostatistics or related field with 2 years postdoc and at least 5 years industry experience working on bioinformatics projects is required. Prior Oncology experience in a computational biology, bioinformatics or related setting is required. Experience in one or more of the following is required: high dimensional data integration, gene expression analysis, next generation sequencing analysis, survival analysis, and/or biological network inference
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