Research Data Scientist

Cedars-Sinai • West Hollywood, CA

2d • Remote

About The Position

Research Data Scientist (Cedars-Sinai Medical Center; West Hollywood, CA):
Participate in biomedical research projects using programming, data mining,
statistics, machine learning, and visualization techniques to lead the
development, evaluation, and application of algorithms, methods, and software
for data analysis. Lead the development, evaluation, and application of
computational and statistical methods including artificial intelligence and
machine learning algorithms and software for the analysis of biomedical data.
Lead with the presentation and communication of scientific results through
laboratory meetings, scientific conferences, and peer-reviewed publications.
Create database-to-deployment pipelines for models using the necessary
programming languages (primarily R, Python, SQL, neo4j). Create sustainable data
science infrastructure and adheres to data analysis/machine learning best
practices. Perform data cleaning, quality control, exploratory data analysis to
gauge the need for or appropriateness of advanced analytical methods. Lead
discussions with senior and lead research data scientists and principal
investigators to identify areas where data science can best be applied to answer
biomedical research questions. Test and validate code to ensure robustness of
data applications with version control through GitHub. Telecommuting permitted
pursuant to company policy.

Requirements

• Bachelor’s degree or foreign equivalent in Computer Science, Machine Learning, Applied Mathematics, or related field
• two (2) years of experience as a Research Data Scientist, Associate Programmer Analyst, or related occupation
• experience with biomedical data in healthcare or pharmaceutical industries
• experience with evolutionary computing: genetic algorithm and genetic programming
• experience with automated machine learning analysis methods: the tree-based pipeline optimization tool
• experience with biomedical knowledge graphs
• experience with peer-reviewed publications
• experience with both clinical data and genetics data

Responsibilities

• Participate in biomedical research projects using programming, data mining, statistics, machine learning, and visualization techniques to lead the development, evaluation, and application of algorithms, methods, and software for data analysis.
• Lead the development, evaluation, and application of computational and statistical methods including artificial intelligence and machine learning algorithms and software for the analysis of biomedical data.
• Lead with the presentation and communication of scientific results through laboratory meetings, scientific conferences, and peer-reviewed publications.
• Create database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL, neo4j).
• Create sustainable data science infrastructure and adheres to data analysis/machine learning best practices.
• Perform data cleaning, quality control, exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods.
• Lead discussions with senior and lead research data scientists and principal investigators to identify areas where data science can best be applied to answer biomedical research questions.
• Test and validate code to ensure robustness of data applications with version control through GitHub.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees