Data Scientist I

SHIFT:

Seeking Breakthrough Makers
Children’s Hospital of Philadelphia (CHOP) offers countless ways to change lives. Our diverse community of more than 20,000 Breakthrough Makers will inspire you to pursue passions, develop expertise, and drive innovation.
At CHOP, your experience is valued; your voice is heard; and your contributions make a difference for patients and families. Join us as we build on our promise to advance pediatric care—and your career.
CHOP does not discriminate on the basis of race, color, sex, national origin, religion, or any other legally protected categories in any employment, training, or vendor decisions or programs. CHOP recognizes the critical importance of a workforce rich in varied backgrounds and experiences and engages in ongoing efforts to achieve that through equally varied and non-discriminatory means.
A Brief Overview

• Perform exploratory data analysis and predictive modeling in pediatric biomedical research using machine learning, statistical, and mathematical analysis incorporating heterogeneous and complex data types under direct supervision.
• Contribute to assessing and implementing computational, algorithmic, and predictive analytics approaches to address assigned biomedical research questions in areas such as clinical decision support and population health surveillance.
• With guidance, contribute to the experimental design, execution, test and critical evaluation of methods as applied to translational data science research projects.
• Use a flexible, analytical approach to extract optimal value from biomedical data.
• Contribute to design and conduct of continuous validation plans for production systems that incorporate models and algorithms, providing guidelines and support for large-scale implementation.

What you will do

• Implement computational algorithms and experiments for test and evaluation; interprets data to assess algorithm performance.
• Develop high-quality code implementing models and algorithms as application programming interfaces or other service-oriented software implementations.
• Participate in communication of research methods, implementation, and results to varied audience of clinicians, scientists, analysts, and programmers.
• Work closely with applications research group to translate models and algorithms into engineered production applications.
• Contribute to manuscript writing for results publication, authors abstracts, and presents at professional conferences.

Education Qualifications

• Bachelor's Degree - Required
• Bachelor's Degree Analytics, Data Science, Statistics, Mathematics, Computer Science or a related field - Preferred

Experience Qualifications

• At least one (1) year with progressively more complex data science, applied statistics, machine learning, or mathematical modeling projects - Preferred

Skills and Abilities

• Experience and demonstrated ability acquiring new technical/analytic skills and domain knowledge to support successful contribution to research and development projects is required.
• Experience using existing machine learning and analytic tools such as ScikitLearn, Weka, R, and Mathematica in either applied educational or professional projects is required.
• Experience writing code in either applied educational or professional projects using one or more of the following languages: Python, Scala, Java is required.
• Familiarity with relational databases (e.g. Postgres, MySQL) strongly preferred.
• Familiarity RESTful web services application programming interfaces preferred.
• Strong verbal and written communications skills with the demonstrated ability to explain complex technical concepts to a lay audience.
• Applied statistics or mathematical modeling experience preferred.
• Natural language processing experience particularly in the biological and medical domains preferred.
• Experience using distributed computing technologies (e.g. Akka, MapReduce, Cuda) preferred.
• Familiarity with graph, key value, and document data stores (e.g. Neo4j, Hadoop, MongoDB) preferred.
• Experience creating informative visualizations for complex, high dimensional data preferred.
• Experience with probabilistic graphical models, time series predictive models, Markov models preferred.

To carry out its mission, CHOP is committed to supporting the health of our patients, families, workforce, and global community. As a condition of employment, CHOP employees who work in patient care buildings or who have patient facing responsibilities must receive an annual influenza vaccine. Learn more.
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SALARY RANGE:

Salary ranges are shown for full-time jobs. If you're working part-time, your pay will be adjusted accordingly.

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At CHOP, we are committed to fair and transparent pay practices. Factors such as skills and experience could result in an offer above the salary range noted in this job posting. Click here for more information regarding CHOP's Compensation and Benefits.