Reference #: 1005466
SHIFT:Day (United States of America)
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's Commitment to Diversity, Equity, and Inclusion
CHOP is committed to building an inclusive culture where employees feel a sense of belonging, connection, and community within their workplace. We are a team dedicated to fostering an environment that allows for all to be their authentic selves. We are focused on attracting, cultivating, and retaining diverse talent who can help us deliver on our mission to be a world leader in the advancement of healthcare for children.
We strongly encourage all candidates of diverse backgrounds and lived experiences to apply.
A Brief Overview
The Tsui Informatics Laboratory () at the Children's Hospital of Philadelphia (CHOP) is seeking a Data Scientist to support the lab's mission: to develop and deploy clinical decision support systems and research tools aimed to improve health care, address clinical challenges, and advance research. The Data Scientist will be able to conduct independent research focusing on the development of (deep) machine learning (ML) applied to clinical notes, electronical health record, and/or literature.
In this role, the Data Scientist will work closely with the lab director, Dr. Rich Tsui () to work on projects such as Expertise Knowledge System (EKP), social determinants of health (SDOH), mental health, and infant mortality. The Data Scientist will also actively develop new deep learning-based algorithms and work with CHOP researchers to advance current state-of-the-art research.
To be successful in this role, a Master's or Doctoral Degree in Analytics, Data Science, Engineering, Statistics, Mathematics, Computer Science or a related field is strongly preferred.
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.
Bachelor's Degree Required
Bachelor's Degree in Analytics, Data Science, Statistics, Mathematics, Computer Science or a related field. Preferred
At least three (3) years experience with progressively more complex data science, applied statistics, machine learning, or mathematical modeling projects. Required
At least four (4) years with progressively more complex data science, applied statistics, machine learning, or mathematical modeling projects Preferred
Skills and Abilities
Fluent in open-source machine learning platforms (TensorFlow, PyTorch, Keras, Scikit-Learn, NLTK, Spacy, etc.)
Knowledge and Experience with deep learning models, e.g., CNN, LSTM, etc.
Fluent in topic modeling, named entity recognition, sentiment analysis, and information retrieval
Experience with relational databases (e.g., Postgres) strongly preferred
Knowledge and experience with Github, Bitbucket, or equivalent versioning system
Familiarity cloud systems, e.g., Amazon Web Services
Excellent verbal and written communications skills
Experience creating informative visualizations for complex, high dimensional data preferred
Familiarity with time series analysis
Experience with electronic health records
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 be fully vaccinated against COVID-19 and receive an annual influenza vaccine.
Employees may request exemptions for valid religious and medical reasons. Start dates may be delayed until candidates are immunized or exemption requests are reviewed.
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.