Cedars-Sinai Medical Center is looking to solve biomedical research problems using data science techniques
Requirements
- Programming skills in R or Python at an intermediate level
- Experience in programming at a basic to intermediate proficiency level in SQL
- Experience with machine learning algorithms and software
- Experience with data analysis and visualization techniques
- Experience with GitHub for version control
- Experience with database querying and data processing
- Experience with supervised and unsupervised machine learning
Responsibilities
- Assists with 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.
- Creates database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL).
- Creates sustainable data science infrastructure and adheres to data analysis/machine learning best practices.
- Performs exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods.
- Tests and validates code to ensure robustness of data applications with version control through GitHub.
- Writes clean, performant, reusable code managed on GitHub to perform repeatable analyses and to train and deploy models to multiple environments.
- Deploys production models
Other
- Bachelor's Degree in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline required
- Master's Degree in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline preferred
- 2 years of professional experience in healthcare or pharmaceutical industries working with biomedical data
- Experience working with senior or lead data scientists and principal investigators
- Ability to communicate scientific findings via peer-reviewed publications and scientific conferences
