Data Scientist Manager
$139.22k - $184.46kChildren's Hospital of Philadelphia
SHIFT:
Day (United States of America)
- 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.
- Master's Degree - Required
- Doctorate Analytics, Data Science, Statistics, Mathematics, Computer Science, or related field - Preferred
- 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
- 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
- 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.
- 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 required.
- 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.
Vacancy posted 4 days ago
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