Research Data Scientist - Ajami Lab - Department of Neurology

Cedars-Sinai • Los Angeles, CA

3d • $94,765 - $161,096 • Onsite

About The Position

The Research Data Scientist participates in biomedical research projects using programming, data mining, statistics, machine learning, and visualization techniques to lead the development, evaluation, and/or application of algorithms, methods, and software for data analysis. Responsibilities include querying databases, data processing, data cleaning and quality control, supervised and unsupervised machine learning, parametric and nonparametric statistical methods, deploying production models, and leading the communication of scientific findings via peer-reviewed publications and scientific conferences. Writes clean, performant, reusable code managed on GitHub to perform repeatable analyses and to train and deploy models to multiple environments.

Requirements

• Programming, data mining, statistics, machine learning, and visualization techniques
• Querying databases
• Data processing
• Data cleaning and quality control
• Supervised and unsupervised machine learning
• Parametric and nonparametric statistical methods
• Deploying production models
• Communication of scientific findings via peer-reviewed publications and scientific conferences
• Writes clean, performant, reusable code managed on GitHub
• Perform repeatable analyses
• Train and deploy models to multiple environments
• R
• Python
• SQL
• neo4j
• Version control through GitHub

Responsibilities

• 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 standards.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed