Data Scientist I-Neurology

Children’s Hospital of Philadelphia • Philadelphia, PA

1d • Hybrid

About The Position

We are seeking a full-time Data Scientist I to join our Neurology lab. In this role, you will leverage machine learning techniques and perform complex clinical data querying to support our research initiatives. This is a hybrid opportunity.

The successful candidate will 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.

Requirements

• Bachelor's Degree Required
• At least one (1) year with progressively more complex data science, applied statistics, machine learning, or mathematical modeling projects Preferred
• 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.
• Strong verbal and written communications skills with the demonstrated ability to explain complex technical concepts to a lay audience.

Nice To Haves

• Bachelor's Degree Analytics, Data Science, Statistics, Mathematics, Computer Science or a related field Preferred
• Master's Degree in Data Science Preferred
• Familiarity with relational databases (e.g. Postgres, MySQL) strongly preferred.
• Familiarity RESTful web services application programming interfaces preferred.
• 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.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level