Predictive Analytics Data Scientist

Johns Hopkins Medicine•Saint Petersburg, FL

27d•$44 - $71

About The Position

Enables comparative analyses and integration of large and complex data sets across multiple studies and sources. Responsibilities include interfacing with technology infrastructure to support biomedical research in various initiatives across the organization. Outcomes from dedicated analytic projects should contribute to the growth and expansion of predictive analytics on a local and national level. The data scientist should contribute to peer-reviewed journals and present at local and national conferences.

Requirements

PhD in data science, analytics, informatics, statistics, mathematics, computer science, or related field.
Minimum 3 years of experience with progressively complex data.
Minimum of 3 years of experience with core analytic methodologies (e.g. regression, classification, clustering, matrix factorization, natural language processing, decision trees, support vector machines, neural networks).
Strong programming skills in environments such as Python, Matlab, R, SQL or other interpreted developmental languages.
Minimum of 3 years of exposure to development of machine learning algorithms and predictive modeling.
Experience working with open source clinical data sources.
Ability to communicate and relate well to people of diverse backgrounds, training and experience.

Responsibilities

Analyzes and models data for predictive analytics projects.
Performs ETL and prepares data by addressing missing, biased, or unstructured information.
Develops and deploys machine learning models to predict and classify physiological events.
Uses advanced data mining techniques to identify patterns and trends.
Supports research proposals and contributes to strategic predictive analytics initiatives at JHACH.
Stays current on industry trends and promotes a collaborative team environment.