Data Scientist Manager
Role details
Job location
Tech stack
Job description
To support DSBU's rapid growth in meeting the analytical needs of CHOP's research teams, we are recruiting a Data Scientist Manager. This individual will lead a team of data scientists to ensure the delivery of consistently highquality work within reasonable timeframes and will collaborate with principal investigators across the Research Institute to achieve meaningful results and academic output. The ideal candidate can serve as both a mentor and an individual contributor, particularly in computer vision and/or natural language processing projects involving image, video, and unstructured text healthcare data.
The Data Scientist Manager will also be responsible for advancing DSBU priorities, managing members of the data science team, and overseeing budgets. This role works collaboratively with other DSBU managers and reports to the Director of the DSBU.
What you will do
- 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.
Requirements
- 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
Skills and Abilities
- 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.
Benefits & conditions
$139,220.00 - $184,460.00 Annually
Salary ranges are shown for full-time jobs. If you're working part-time, your pay will be adjusted accordingly.