Oversee the analysis of large, multi-omic datasets with the goal of finding disease signatures for diagnosis and targets for drug development; Collaborate with your ICR team members to streamline and optimize novel methodologies to identify disease-causing genomic/transcriptomic variants and find actionable targets for therapeutic development; Create and test in silico human disease models to improve predictive diagnostics; Manage a team of data scientists, computational biologists and machine learning engineers in difficult but rewarding work
Requirements:
A Masters or PhD and 10 years of data science/machine learning experience, with a focus on the integration of multi-omics level datasets, diagnosing disease and target discovery; A deep background in computer programming, machine learning, mathematics, probability and statistics with an emphasis on integrating and interrogating large, multi-omic datasets
Text:
Principal Data Scientist Oversee the analysis of large, multi-omic datasets with the goal of finding disease signatures for diagnosis and targets for drug development; Collaborate with your ICR team members to streamline and optimize novel methodologies to identify disease-causing genomic/transcriptomic variants and find actionable targets for therapeutic development; Create and test in silico human disease models to improve predictive diagnostics; Manage a team of data scientists, computational biologists and machine learning engineers in difficult but rewarding work A Masters or PhD and 10 years of data science/machine learning experience, with a focus on the integration of multi-omics level datasets, diagnosing disease and target discovery; A deep background in computer programming, machine learning, mathematics, probability and statistics with an emphasis on integrating and interrogating large, multi-omic datasets
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