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# Research Data Scientist - Artificial Intelligence in Medicine Research Center - Agarwal Lab

- **Company:** Cedars Sinai
- **Location:** Los Angeles, CA, United States
- **Experience:** Experienced
- **Salary:** $96,720.0 - $164,424.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Big Data, Bioinformatics, Computational Biology, Computer Programming, Databases, Data Cleansing, Github, R (Programming Language), Python (Programming Language), Machine Learning, Neo4j, SQL Databases, Delivery Pipeline, Information Technology, Software Version Control, Programming Languages
- **Published:** October 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=933a6229c1a40ec4

## About the Role

* Bachelor's degree in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline is required.
 * Master's degree in data science, computer science, bioinformatics, computational biology, statistics, or a related quantitative field preferred.
 * Two (2) years of professional experience in healthcare or pharmaceutical industries working with biomedical data required.
 * Two (2) years of experience programming at an intermediate skill level with a high-level programming language such as R or Python required. College projects may be acceptable.
 * Two (2) years of experience programming at a basic to intermediate proficiency level in SQL required.
 * Experience in biomedical machine learning is preferred.
 * Prior research data science experience preferred.
 * Strong computational skills, particularly in Python/R, and experience working with biomedical or other large-scale datasets would be valuable.

## Description

* Leads the development, evaluation, and/or application of computational and statistical methods including artificial intelligence and machine learning algorithms and software for the analysis of biomedical data.
 * Leads with the presentation and communication of scientific results through laboratory meetings, scientific conferences, and peer-reviewed publications.
 * Creates database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL, neo4j).
 * Creates sustainable data science infrastructure and adheres to data analysis/machine learning best practices.
 * Performs data cleaning, quality control, exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods.
 * Leads discussions with senior and/or lead research data scientists and principal investigators to identify areas where data science can best be applied to answer biomedical research questions.
 * Tests and validates code to ensure robustness of data applications with version control through GitHub.
 * Performs all other duties as assigned.