Data Scientist

Job Overview

Qualificationsbull PhD and at least 2 yearsrsquo related experience (post-doc qualifies as experience) in a field such as epidemiology, health data science, health policy, global health, or biostatistics, biomathematics, bioinformatics, or computational biologybull Strong communication skills (oral and written) and presentation skills.bull Domain expertise in any of the following infectious disease epidemiology healthcare, health policy, global health, or biostatistics, biomathematics, bioinformatics, or computational biologybull Demonstrated proficiency with predictive analytics techniques including machine learning (e.g., regression, neural networks, decision trees, KNN, K-means, random forests, model ensembles, support vector machines) and simulation modeling (e.g., system dynamics, microsimulation, discrete event simulation, Markov modeling, and agent-based models).bull Experience with modern open source software used in predictive analytics, preferably Python or R. bull Applicants must be legally authorized to work in the United Stated and should not require now, or in the future, sponsorship for employment visa sponsorship. Preferredbull Experience with agent-based modeling software (e.g., Netlogo, Repast, AnyLogic).bull Experience with SQL. bull Ability to extract, merge, and analyze data from a wide variety of sources (e.g., relational databases, text and unstructured data, sensor data, image data).bull Experience with text analytics and natural language processing.bull Experience with data visualization. bull Experience with a compiled programming language (e.g., C, C, C++, Java). bull Experience in cluster and cloud computing environments.bull Experience with GIS.bull Experience in customer-facing roles (e.g., listening to clients, discussing client problems, developing projects directed at solving client problems and communicating solutions).