Data Scientist II

5 days ago


Philadelphia, Pennsylvania, United States The Children's Hospital of Philadelphia Full time

About the Role

Children's Hospital of Philadelphia (CHOP) is seeking a highly skilled Data Scientist II to join our Campbell Laboratory team. As a key member of our team, you will be responsible for performing exploratory data analysis in pediatric biomedical research using machine learning, statistics, and mathematical analysis. Your expertise will contribute to assessing and implementing computational, algorithmic, and predictive analytic approaches to address biomedical research questions.

Key Responsibilities

• Perform exploratory data analysis in pediatric biomedical research using machine learning, statistics, and mathematical analysis.
• Contribute to assessing and implementing computational, algorithmic, and predictive analytic approaches to address biomedical research questions.
• Work closely with hospital operations and electronic health record vendor teams to translate models and algorithms into production applications.
• Participate in communication of research methods, implementation, and results to varied audience of clinicians, scientists, analysts, and programmers.
• Contribute to manuscript writing for results publication, authors abstracts, and present at professional conferences.

Requirements

• Bachelor's Degree in Analytics, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• At least three (3) years experience with progressively more complex data science, applied statistics, machine learning, or mathematical modeling projects.
• Experience with Python, relational databases, and distributed computing technologies.
• Strong verbal and written communications skills with the demonstrated ability to explain complex technical concepts to a lay audience.

Experience as a team player, with a proven track record of collaboration and communication with diverse groups of people required.

We strongly encourage all candidates of diverse backgrounds and lived experiences to apply.



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