Data Scientist I - Campbell Laboratory

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

We’re seeking breakthrough makers! Children’s Hospital of Philadelphia was built on the belief that we can change lives. Today, in every role throughout our hospital, research institute and care network, the 22,000 members of our workforce are finding new ways – big and small – to make a difference for the patients and families we serve.

If you are ready to challenge yourself, be inspired and grow – no matter what your role – you just may be the kind of breakthrough maker who will thrive at CHOP.

?CHOP is proud to share that we are ranked No. 1 on Forbes' 2022 list of America's Best Large Employers!

Job Summary

The mission of the Campbell Laboratory at the Children’s Hospital of Philadelphia is to ensure that every child with a rare genetic disease is diagnosed as quickly and accurately as possible. Our research goals are to develop computational algorithms to identify children with genetic disease and intervene in the electronic health record to facilitate diagnosis. We hope these approaches can help address inequities in the way genetic care is provided to patients with historically marginalized backgrounds. We are seeking a Data Scientist to assist with the collection, standardization, and analysis of data from the electronic health record and to assist in implementation of state-of-the-art natural language processing algorithms based on recurrent neural networks.

The Data Scientist will work closely with the laboratory director, Dr. Ian Campbell, to advance the mission of the laboratory. The laboratory’s machine learning algorithms are implemented in Python (PyTorch) using data extracted from electronic health record relational databases. Thus, familiarity with Python and basic SQL are required. The Data Scientist will contribute to reproducible research by committing high quality and well documented code to the enterprise and public GitHub. Other laboratory data analyses are implemented in the R statistical programing language, so basic familiarity with statistical analysis in R is preferred.

The Campbell Lab is committed to diversity and strives to create an equitable work environment for everyone. Individuals from historically marginalized backgrounds are strongly encouraged to apply.

Job Responsibilities

• Perform exploratory data analysis in pediatric biomedical research using machine learning, statistical, and mathematical analysis incorporating heterogeneous and complex data types under direct supervision.
• Contribute to assessing and implementing computational, algorithmic, and predictive analytic approaches to address biomedical research questions-.
• With guidance, contribute to the experimental design, execution, test and critical evaluation of methods as applied to translational data science research projects.
• 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.
• Implement computational algorithms and experiments for test and evaluation; interprets data to assess algorithm performance.
• 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.

Required Education and Experience

Required Education: Bachelors Degree

Preferred Education, Experience & Cert/Lic

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

Preferred Certificate in Analytics, Statistics, or Data Science

Preferred Experience: At least one (1) year of experience with progressively more complex data science, applied statistics, machine learning, or mathematical modeling projects

Additional Technical Requirements

• Experience and demonstrated ability for acquiring new technical/analytic skills and domain knowledge to support successful contribution to research and development projects is required.
• Experience writing code in either applied educational or professional projects using Python is required.
• Familiarity with relational databases (e.g. Oracle SQL, SQL Server, Postgres, MySQL) is required.
• Familiarity with version control systems (e.g. Git, SVN) is required.
• Experience using existing machine learning and analytic tools such as Pytorch, Tensorflow, ScikitLearn, or Keras in either applied educational or professional projects is preferred.
• Natural language processing experience particularly in the biological and medical domains 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.
• Experience using distributed computing technologies preferred.
• Experience creating informative visualizations for complex, high dimensional data preferred.