ASTART Data Scientist III

Children’s Hospital of Philadelphia • Philadelphia, PA

7h

About The Position

Conceive, propose and perform exploratory data analysis and predictive modeling in pediatric biomedical research using machine learning, statistical, and mathematical analysis incorporating heterogeneous and complex data types. Assess and implement computational, algorithmic, and predictive analytics approaches to address assigned biomedical research questions in areas such as clinical decision support and population health surveillance Lead 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. Lead the design and conduct of continuous validation plans for production systems that incorporate models and algorithms, providing guidelines and support for large-scale implementation. Lead the creation, adoption, and adherence to best practice methodologies for performing data analysis and predictive modeling experiments. Serve as a data science and analytics team lead in a highly matrixed research environment, and as a data science project lead on multidisciplinary teams that include clinicians and biomedical researchers. Lead the development, evolution, and implementation of analytic methodologies that are optimized to a biomedical research setting.

Requirements

• Master's Degree Required
• At least five (5) years experience with progressively more complex data science, applied statistics, machine learning, or mathematical modeling projects. Required
• Experience and demonstrated ability acquiring new technical/analytic skills and domain knowledge to support successful contribution to research and development projects is required.
• Experience formulating or contributing to the formulation of analysis plans and selection of appropriate methods.
• 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.

Nice To Haves

• Doctorate Analytics, Data Science, Statistics, Mathematics, Computer Science or a related field. Preferred
• At least six (6) years with progressively more complex data science, applied statistics, machine learning, or mathematical modeling projects 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.
• Lead the formulation of analysis plans that meet stringent criteria for reproducibility and measures of significance.
• Lead the development of high-quality code implementing models and algorithms as application programming interfaces or other service-oriented software implementations.
• Communicate and educate a varied audience of clinicians, scientists, analysts, and programmers on research methods, implementation, and results.
• Serve as the scientific lead in collaborative development with the applications research group to translate models and algorithms into engineered production applications.
• Mentor junior staff, student workers, co-ops, and research trainees (fellows, post-docs).
• Contribute to manuscript writing for results publication, authors abstracts, and presents at professional conferences.
• Manage large, complex projects and take responsibility for major components of larger research initiatives; assign work to junior staff, identifying, tracking, and reporting on tasks and deliverables against project timelines.

What This Job Offers

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