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

Cedars-Sinai • Los Angeles, CA

7d • $96,720 - $164,424

About The Position

The Research Data Scientist participates in biomedical research projects using programming, data mining, statistics, machine learning, and visualization to lead the development, evaluation, or application of algorithms, methods, and software for data analysis. The role includes querying databases; processing, cleaning, and quality-checking data; applying supervised and unsupervised machine learning and parametric and nonparametric statistical methods; deploying production models; and communicating scientific findings through peer-reviewed publications and scientific conferences. The scientist writes clean, performant, reusable code managed on GitHub to support repeatable analyses and train and deploy models to multiple environments.

The position is part of the Artificial Intelligence in Medicine Research Center at Cedars-Sinai, whose mission is to use AI to address gaps in mechanisms, diagnostics, risk assessment, and therapeutics for major human diseases. The center uses clinical data and collaborating-site data to develop ethically vetted, evaluated, validated, and implemented research. The Research Data Scientist works with senior and lead research data scientists and principal investigators to identify how data science can advance biomedical research questions.

Requirements

• Bachelor's degree in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or a related discipline.
• Two years of professional experience in healthcare or pharmaceutical industries working with biomedical data.
• Two years of intermediate-level programming experience with a high-level language such as R or Python; college projects may be acceptable.
• Two years of basic-to-intermediate proficiency programming in SQL.
• Strong computational skills, particularly in Python or R, and experience working with biomedical or other large-scale datasets are described as valuable.

Nice To Haves

• Master's degree in data science, computer science, bioinformatics, computational biology, statistics, or a related quantitative field.
• Experience in biomedical machine learning.
• Prior research data science experience.

Responsibilities

• Lead the development, evaluation, and/or application of computational and statistical methods, including AI and machine-learning algorithms and software, for biomedical data analysis.
• Lead presentation and communication of scientific results through laboratory meetings, scientific conferences, and peer-reviewed publications.
• Create database-to-deployment model pipelines using programming languages including R, Python, SQL, and neo4j.
• Create sustainable data science infrastructure and follow data analysis and machine-learning best practices.
• Perform data cleaning, quality control, and exploratory data analysis to assess the need for and appropriateness of advanced analytical methods.
• Lead discussions with senior and/or lead research data scientists and principal investigators to identify where data science can best answer biomedical research questions.
• Test and validate code to ensure data applications are robust, using GitHub for version control.
• Perform other duties as assigned.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level