Cedars-Sinai Medical Center is seeking to solve biomedical research problems through the application of data science, machine learning, and statistical methods to analyze biomedical data and develop algorithms and software for data analysis.
Requirements
- Experience programming at an intermediate skill level with a high-level programming language such as R or Python. College projects may be acceptable.
- Experience programming at a basic to intermediate proficiency level in SQL.
- Experience in biomedical machine learning is preferred.
- Ability to write clean, performant, reusable code managed on GitHub to perform repeatable analyses and to train and deploy models to multiple environments.
- Knowledge of supervised and unsupervised machine learning techniques.
- Familiarity with parametric and nonparametric statistical methods.
- Experience querying databases and deploying production models.
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.
- Assists 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, and exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods.
- Assists research, senior research, 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.
Other
- Bachelor’s degree in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline required.
- Master’s in the Sciences computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline is preferred.
- 0 to 2 years of professional experience in healthcare or pharmaceutical industries working with biomedical data.
- Overtime Status: EXEMPT.
- Primary Shift: Day, Shift Duration: 8 hour.
