Integrate multi-omics data to infer context-specific regulatory network for target identification and biomarker selection; Develop the network-based machine learning method to assess the drug combination opportunity based on the internal omics data generated from Abbvie clinical trials; Perform patient stratification for immunological diseases and integrate with clinical trial data to predict personalized treatment; Identify treatment related cell types by integrating single-cell data with internal phamacogenomic data; Communicate analytical approach and results verbally and in writing for scientific and technical audiences; Provide expertise and technical consultation for external collaborations/partnerships in academia and industry
Requirements:
PhD, MS or BS in bioinformatics, statistics, mathematics, computer science, computational biology, genomics or a related field with typically 4+ (PhD), 10+ (MS), or 12+ years of experience; A minimum of 3 years of relevant experience working on omics data analysis; Hands on experience in analysis of multi-omics data (e.g. bulk/single-cell RNASeq, proteomics or genetics data); Hands on experience in multi-omics data integration based on the current best-practices (e.g. DIABLO)
Text:
Senior Scientist II, Immunology Computational Biology Integrate multi-omics data to infer context-specific regulatory network for target identification and biomarker selection; Develop the network-based machine learning method to assess the drug combination opportunity based on the internal omics data generated from Abbvie clinical trials; Perform patient stratification for immunological diseases and integrate with clinical trial data to predict personalized treatment; Identify treatment related cell types by integrating single-cell data with internal phamacogenomic data; Communicate analytical approach and results verbally and in writing for scientific and technical audiences; Provide expertise and technical consultation for external collaborations/partnerships in academia and industry PhD, MS or BS in bioinformatics, statistics, mathematics, computer science, computational biology, genomics or a related field with typically 4+ (PhD), 10+ (MS), or 12+ years of experience; A minimum of 3 years of relevant experience working on omics data analysis; Hands on experience in analysis of multi-omics data (e.g. bulk/single-cell RNASeq, proteomics or genetics data); Hands on experience in multi-omics data integration based on the current best-practices (e.g. DIABLO)
Please click here, if the job didn't load correctly.
Please wait. You are being redirected to the job in 3 seconds.
