Predictive Analytics Data Scientist

YOU BELONG HERE

What Awaits You?

• Career growth and development
• Employee and Dependent Tuition Assistance
• Diverse and collaborative working environment
• Affordable and comprehensive benefits package

• Our competitive Benefit Package is designed to support the well-being and financial security of our employees. You can explore the details of our benefits offering by visiting the following link Johns Hopkins All Children's Hospital | Your benefits virtually (mybenefitsjhhs.com)

Summary:

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.

• 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.

Qualifications:

• 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.

Salary Range: Minimum 44.20/hour - Maximum 70.71/hour. Compensation will be commensurate with equity and experience for roles of similar scope and responsibility. In cases where the range is displayed as a $0 amount, salary discussions will occur during candidate screening calls, before any subsequent compensation discussion is held between the candidate and any hiring authority.

We are committed to creating a welcoming and inclusive environment, where we embrace and celebrate our differences, where all employees feel valued, contribute to our mission of serving the community, and engage in equitable healthcare delivery and workforce practices.

Johns Hopkins Health System and its affiliates are drug-free workplace employers.