Sr. Data Scientist

• 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.