Live opening · Posted 12 days ago

Sr. Data Scientist

Children's Hospital Los Angeles (CHLA) · Los Angeles, CA (Remote)
Linkedin No
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At a glance

The key details from the original listing.

Posted 12 days ago
CompanyChildren's Hospital Los Angeles (CHLA)
LocationLos Angeles, CA (Remote)
Work modeNo
SourceLinkedin
Listed12 days ago

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About the role

Description supplied by the original job listing.

This is a fully remote position; however, candidates must reside in California*
Schedule: Full-Time, Exempt. Standard Monday-Friday business hours.
Purpose Statement/Position Summary: The Senior Data Scientist directs and carries out data-intensive research and development (R&D). The Senior Data Scientist is required to solve meaningful clinical problems and develop new decision-support tools by applying techniques and models from machine learning and computational statistics to large clinical datasets.
Minimum Qualifications/Work Experience Required:
Bachelor's degree in a STEM-related field and at least five (5) years of experience conducting data science research; OR
Master's degree or Ph.D. in a STEM-related field and at least three (3) years of experience conducting data science research.
Excellent written and verbal English communication skills.
Preferred:
Demonstrated record of scholarly publications preferred.
Previous experience with open-source software projects
Familiarity with clinical domain
Familiarity with information visualization concepts and tools
Fluency in Python and Pandas
Fluency in machine learning libraries (e.g., Keras, Theano, Sci-kit Learn)
Familiarity with modern relational databases (e.g., MySQL, SQL Server)
Familiarity with big data technologies (Hadoop, NoSQL databases, etc.)
Familiarity with project management tools (e.g., JIRA, git)
Passion for data science and keeping up to date on latest methods
Education/Licensure/Certification Required:
Bachelor's degree in Computer Science, Statistics, Physics, Electrical Engineering, Data Science, Mathematics, or a related STEM field required.
Preferred:
Master's degree or Ph.D. in a related field preferred.
Graduate-level coursework and/or research experience in machine learning, data mining, data visualization, statistics, artificial intelligence, probabilistic modeling, optimization, or related disciplines preferred.
This is a grant‑funded position, in whole or part. Terms and conditions of employment are contingent upon the availability of grant funding, which may be subject to change without notice.

Work arrangement
No

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