Develop algorithms and software solutions that integrate and evaluate large datasets from multiple disparate sources, and collaboratively identify biologically and clinically meaningful insights from large data and metadata sources; Lead and execute initiatives to apply AI and machine learning approaches to accelerate clinical trials, the areas of focus include patient recruitment, site selection, patient compliance and drop off etc; Interpret and effectively communicate insights and findings to product, service and business managers with great attention to detail & accuracy; Proactively seek for new opportunities, ask the right questions, prioritize and translate the business requirements into a data science problem and solution
Requirements:
Master's degree in Data Science, Machine Learning, Electrical Engineering, Biomedical Engineering, or equivalent from an accredited college or university. (PhD preferred.); Minimum of 2 years of applied technical experience in machine learning, advanced analytics, and algorithmic model development, including predictive analytics and deep learning; Understanding of clinical trial processes, protocols, and operational challenges
Text:
Associate Director, Data Science Develop algorithms and software solutions that integrate and evaluate large datasets from multiple disparate sources, and collaboratively identify biologically and clinically meaningful insights from large data and metadata sources; Lead and execute initiatives to apply AI and machine learning approaches to accelerate clinical trials, the areas of focus include patient recruitment, site selection, patient compliance and drop off etc; Interpret and effectively communicate insights and findings to product, service and business managers with great attention to detail & accuracy; Proactively seek for new opportunities, ask the right questions, prioritize and translate the business requirements into a data science problem and solution Master's degree in Data Science, Machine Learning, Electrical Engineering, Biomedical Engineering, or equivalent from an accredited college or university. (PhD preferred.); Minimum of 2 years of applied technical experience in machine learning, advanced analytics, and algorithmic model development, including predictive analytics and deep learning; Understanding of clinical trial processes, protocols, and operational challenges
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