Research Associate Data Scientist -Computational Biomedicine
About The Position
Join us as we translate today's discoveries into tomorrow's medicine! The Department of Computational Medicine (CBM) is a robust infrastructure established to develop, evaluate, and apply cutting-edge computational and statistical methods and software for the analysis of biomedical and clinical data across the Cedars-Sinai enterprise. Are you ready to be a part of breakthrough 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.
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).
- 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 and principal investigators to identify areas where data science can best be applied to answer biomedical research questions.
- Keeps appropriate analytical records, documentation, and software version control.
- Performs all other duties as assigned.
- 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.
- Participates in analytical training activities for faculty, staff, and students.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
