Note: The job is a remote job and is open to candidates in USA. Children's Hospital of Philadelphia (CHOP) is seeking a Data Scientist Manager to lead a team within the Data Science and Biostatistics Unit. This role involves managing staff, collaborating with researchers, and overseeing high-impact data science research projects to advance pediatric care.

Responsibilities

• Builds and manages a team of staff scientists in the development and execution of a high-impact data science research program
• Recruits, hires, and manages staff, including performance management, career development
• Collaborates with clinical and biomedical researchers to identify data science research questions in clinical and translational research
• Leads data science research experiment planning and execution; where appropriate serves as project Principal or Co-investigator
• Identifies relevant clinical and translational data science funding opportunities; leads collaborative proposal planning and writing
• Disseminates research findings through peer reviewed journal articles and professional conference presentations
• Communicates research methods, implementation, and results to varied audience of clinicians, scientists, analysts, and programmers
• Guides and mentors junior staff and biomedical researcher collaborators in execution of research projects
• Serves as the subject matter expert in the implementation of computational algorithms and experiments for test and evaluation as well as advanced data interpretation to assess algorithm performance
• Sets standards and holds staff accountable for the formulation of analysis plans that meet stringent criteria for reproducibility and measures of significance
• Serves as the subject matter expert and lead architect in the development of high-quality code implementing models and algorithms as application programming interfaces or other service-oriented software implementations
• Plays a lead role in educating a varied audience of clinicians, scientists, analysts, and programmers on data science research methods, implementation, and results
• Mentors junior staff, student workers, co-ops, and research trainees (fellows, post-docs)
• Manages large, complex projects and takes responsibility for major components of larger research initiatives; assigns work to junior staff, identifying, tracking, and reporting on tasks and deliverables against project timelines

Skills

• Master's Degree - Required
• At least seven (7) years of applied algorithm development, data science, applied statistics, machine learning, or mathematical modeling projects experience Required
• At least three (3) years of leadership, management or supervisory experience Required
• Expertise and demonstrated ability at acquiring new technical/analytic skills and domain knowledge to support successful contribution to research and development projects is required
• Expertise formulating analysis plans and selecting appropriate methods is required
• Expertise using existing machine learning and analytic tools such as ScikitLearn, Weka, R, and Mathematica in either applied academic or professional projects is required
• Expertise writing code in applied academic or professional projects using one or more of the following languages: Python, Scala, Java is required
• Applied statistics or mathematical modeling experience required
• Doctorate Analytics, Data Science, Statistics, Mathematics, Computer Science, or related field - Preferred
• At least five (5) years of leadership, management or supervisory experience Preferred
• At least ten (10) years of applied algorithm development, data science, applied statistics, machine learning, or mathematical modeling projects experience Preferred
• 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
• 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

Benefits

• This job is eligible for an incentive program.
• If you're working part-time, your pay will be adjusted accordingly.
• 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.

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