Predictive Analytics Data Scientist

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Johns Hopkins All Children's Hospital is a premiere clinical and academic health system, providing expert pediatric care for infants, children and teens with some of the most challenging medical problems. Ranked in multiple specialties by U.S. News & World Report, we provide access to innovative treatments and therapies. With more than half of the 259 beds in our teaching hospital devoted to intensive care level services, we are the regional pediatric referral center for Florida's west coast. Physicians and community hospitals count on us to care for critically ill patients and perform complex surgical procedures.

What Awaits You?

• Career growth and development
• Diverse and collaborative working environment
• Employee discount program
• Affordable and comprehensive benefits package
• Paid Time Off (PTO) and company paid holidays
• Life Insurance
• Tuition Assistance

POSITION 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.

KEY ACCOUNTABILITIES:

1. Analysis and modeling of data for single and multi-center projects to make substantive contributions to the field of predictive analytics.
2. Engage in pre-processing of data (Extract-Transform-Load; ETL) to address missing data, potential noise/bias, and other unstructured data attributes.
3. Develop mathematical and machine learning models for prediction and classification of critical physiological events to efficiently and accurately describe potential associations that may exist within the data.
4. Analyze data using sophisticated data mining algorithms and methodologies to discover potential patterns and trends that may exist within the data.
5. Implement, deploy and monitor developed machine-based learning algorithms to examine streams of data using state of the art technologies.
6. Contribute to internal and external research proposals for regional and national funding agencies to contribute to sustainable research goals per JHACH strategic plans.
7. Contribute to the initiatives related to the growth and sustainability of predictive analytics at JHACH to facilitate research specific mission within the JHACH strategic plan.
8. Remains informed and educated on industry trends, research findings, and evaluation methods.
9. Contributes to a motivated work environment by encouraging collaboration to achieve JHACH strategic goals.

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 per hour - Maximum 70.71 per 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.

JHM prioritizes the health and well-being of every employee. Come be healthy at Hopkins!

Diversity and Inclusion are Johns Hopkins Medicine Core Values. 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.