Associate Director, Oncology Data Science | Mississauga, Ontario, Canada | AstraZeneca

Position:	Associate Director, Oncology Data Science
Institution:	AstraZeneca
Location:	Mississauga, Ontario, Canada
Duties:	As an Associate Director, you will apply advanced statistical and machine learning methods to analyze multi-modal data aiming to potential biomarker and MoA (mechanism of action) insights. You will drive the development of biomarker identification, validation and patient stratification strategies in collaboration with cross-functional teams. You will effectively communicate complex findings and recommendations to diverse stakeholders through compelling data visualizations, reports, and presentations. You will also work with our Research and Translational Medicine Leads to proactively influence the generation of data assets as part of a data generation strategy to evaluate novel hypothesis and drive target discovery
Requirements:	PhD in Data Science, Statistics, Bioinformatics, Computer Science, or a related quantitative field, with more than three years of experience in Pharma/Biotech or large cancer center; Extensive expertise in statistical analysis, machine learning, and advanced data manipulation techniques; Proficiency in programming languages such as Python, R, or similar; Significant experience in cancer biomarker analysis of multi-modal data from oncology clinical trials; Deep knowledge of cancer genetics and key algorithmic & statistical methods applicable to cancer genomics

Text:	Associate Director, Oncology Data Science As an Associate Director, you will apply advanced statistical and machine learning methods to analyze multi-modal data aiming to potential biomarker and MoA (mechanism of action) insights. You will drive the development of biomarker identification, validation and patient stratification strategies in collaboration with cross-functional teams. You will effectively communicate complex findings and recommendations to diverse stakeholders through compelling data visualizations, reports, and presentations. You will also work with our Research and Translational Medicine Leads to proactively influence the generation of data assets as part of a data generation strategy to evaluate novel hypothesis and drive target discovery PhD in Data Science, Statistics, Bioinformatics, Computer Science, or a related quantitative field, with more than three years of experience in Pharma/Biotech or large cancer center; Extensive expertise in statistical analysis, machine learning, and advanced data manipulation techniques; Proficiency in programming languages such as Python, R, or similar; Significant experience in cancer biomarker analysis of multi-modal data from oncology clinical trials; Deep knowledge of cancer genetics and key algorithmic & statistical methods applicable to cancer genomics