Remember when you said you wanted to make a difference? Here is your chance.

- Grow your career at Cedars-Sinai! The Smidt Heart Institute reflects Cedars-Sinai's steadfast dedication to heart disease and research innovation giving patients access to the highest level of care. Year after year, thousands of people trust their hearts to Smidt Heart Institute at Cedars-Sinai. Our cardiologists, cardiac surgeons and niche care teams treat the full spectrum of heart disease and disorders, while our investigators continue to advance the field with groundbreaking, life-saving research. From genetic counseling and targeted drug therapies to a growing array of minimally invasive procedures, Cedars-Sinai continues to stand at the forefront of technology, innovation and discovery improving patient outcomes. Join our team and use your skills with an organization known nationally for excellence in research! The Research Associate Data Scientist participates in biomedical research projects using programming, data mining, statistics, machine -learning, and visualization techniques to develop, evaluate, and/or apply algorithms and software for data analysis. Responsibilities include querying databases, data processing, supervised and unsupervised machine learning, deploying production models, and 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. - 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 Python, R, C++). - 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. - Works with senior or lead data scientists, research programmers, 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. - Participates in the development of innovative algorithms and analytical methods. - Participates in the evaluation and interpretation of all analytical methods and results. - Participates in the oral and written communication of scientific results including publications - Other duties as assigned