Data Scientist III - 64038

Philadelphia, PA, US, 19146

LOC_ROBERTS-Roberts Ctr Pediatric Research Req ID: 82712

Shift: Days

Employment Status: Regular - Full Time 

Job Summary

  • 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.

Job 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.

Job Responsibilities (Continued)

Job Responsibilities (Continued)

Required Licenses, Certifications, Registrations

Required Education and Experience

Required Education: Masters in Analytics, Data Science, Statistics, Mathematics, Computer Science or a related field.


Required Experience: At least five (5) years of experience with progressively more complex data science, applied statistics, machine learning, or mathematical modeling projects.

Preferred Education, Experience & Cert/Lic

Preferred Education: PhD in Analytics, Data Science, Statistics, Mathematics, Computer Science or a related field. Non-degree graduate coursework such as a graduate certificate in Analytics, Statistics, or Data Science preferred.


Preferred Experience: Six (6) or more years of experience with progressively more complex data science, applied statistics, machine learning, or mathematical modeling projects.

Additional Technical Requirements

  • 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.
  • 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.

All CHOP employees who work in a patient building or who provide patient care are required to receive an annual influenza vaccine unless they are granted a medical or religious exemption.

Children's Hospital of Philadelphia is committed to providing a safe and healthy environment for its patients, family members, visitors and employees. In an effort to achieve this goal, employment at Children's Hospital of Philadelphia, other than for positions with regularly scheduled hours in New Jersey, is contingent upon an attestation that the job applicant does not use tobacco products.

Children's Hospital of Philadelphia is an equal opportunity employer. We do not discriminate on the basis of race, color, gender, gender identity, sexual orientation, age, religion, national or ethnic origin, disability or protected veteran status.

VEVRAA Federal Contractor/Seeking priority referrals for protected veterans.  Please contact our hiring official with any referrals or questions.

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Talent Acquisition

2716 South Street, 6th Floor

Philadelphia, PA 19146 




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