Data Scientist II-Data Driven Discovery in Biomedicine (D3b)

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Seeking Breakthrough Makers

Children's Hospital of Philadelphia (CHOP) offers countless ways to change lives. Our diverse community of more than 20,000 Breakthrough Makers will inspire you to pursue passions, develop expertise, and drive innovation.

At CHOP, your experience is valued; your voice is heard; and your contributions make a difference for patients and families. Join us as we build on our promise to advance pediatric care-and your career.

CHOP does not discriminate on the basis of race, color, sex, national origin, religion, or any other legally protected categories in any employment, training, or vendor decisions or programs. CHOP recognizes the critical importance of a workforce rich in varied backgrounds and experiences and engages in ongoing efforts to achieve that through equally varied and non-discriminatory means.

A Brief Overview

Perform exploratory data analysis and predictive modeling in pediatric biomedical research using machine learning, statistical, and mathematical analysis incorporating heterogeneous and complex data types independently based on milestone assignments from senior staff.

Contribute to assessing and implementing computational, algorithmic, and predictive analytics approaches to address assigned biomedical research questions in areas such as clinical decision support and population health surveillance.

Contribute to 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.

Contribute to design and conduct of continuous validation plans for production systems that incorporate models and algorithms, providing guidelines and support for large-scale implementation.

Contribute to the creation, adoption, and adherence to best practice methodologies for performing data analysis and predictive modeling experiments.

What you will do

• Implement computational algorithms and experiments for test and evaluation; interprets data to assess algorithm performance.
• Make significant contributions to the formulation of analysis plans and associated documentation of methods that meet stringent criteria for reproducibility and measures of significance.
• Develop high-quality code implementing models and algorithms as application programming interfaces or other service-oriented software implementations.
• Participate in communication of research methods, implementation, and results to varied audience of clinicians, scientists, analysts, and programmers.
• Work closely with applications research group to translate models and algorithms into engineered production applications.
• Contribute to manuscript writing for results publication, authors abstracts, and presents at professional conferences.

Education Qualifications

• Bachelor's Degree Required
• Bachelor's Degree in analytics, computer/data science, statistics, mathematics or related field Preferred

Experience Qualifications

• At least three (3) years of applied algorithm development, data science, applied statistics, machine learning, or mathematical modeling projects experience Required
• At least five (5) years with progressively more complex data science, applied statistics, machine learning, or mathematical modeling projects Preferred

Skills and Abilities

• Intermediate proficiency with formulating analysis plans and selecting appropriate methods
• Intermediate proficiency with machine learning and analytic tools (ScikitLearn, Weka, R, and Mathematica)
• Intermediate proficiency with programing languages (Python, Scala, Java)
• Intermediate proficiency with writing code in applied academic or professional projects
• Intermediate proficiency with distributed computing technologies (Akka, MapReduce, Cuda)
• Intermediate proficiency with creating informative visualizations for complex, high dimensional data
• Intermediate proficiency with probabilistic graphical, time series predictive, statistical/mathematical and Markov models
• Substantial knowledge of relational databases (Postgres, MySQL)
• Substantial knowledge of web services application programming interfaces
• Substantial knowledge of biological and medical domains
• Substantial knowledge of graph, key value, and document data stores (Neo4j, Hadoop, MongoDB)
• Excellent verbal and written communications skills
• Ability to maintain confidentiality and professionalism
• Ability to work independently with minimal supervision
• Ability to gather, analyze and make recommendations/decisions based on data / best practices
• Ability to convey complex or technical information in an easy-to-understand manner
• Ability to collaborate with stakeholders at all levels

To carry out its mission, CHOP is committed to supporting the health of our patients, families, workforce, and global community. As a condition of employment, CHOP employees who work in patient care buildings or who have patient facing responsibilities must receive an annual influenza vaccine. Learn more.

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SALARY RANGE:

Salary ranges are shown for full-time jobs. If you're working part-time, your pay will be adjusted accordingly.

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At CHOP, we are committed to fair and transparent pay practices. 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.