**Job Description** **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. Primary Duties & 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. Department-Specific Responsibilities: + 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. **Qualifications** Education: + Bachelor's degree in Computer Sciences, Machine Learning, Applied Mathematics, Econometrics, Statistics, Engineering, Physics, or related field, required. Master's degree, preferred. Experience and Skills: + Up to two (2) years of professional experience in healthcare or pharmaceutical industries working with biomedical data. + Experience programming at an intermediate skill level with a high-level programming language such as Python. College projects may be acceptable. + Experience programming in R, Python, or Linux bash and genetics and genomics data analysis preferred. + Experience in biomedical machine learning is preferred. + Working knowledge of data privacy and security including best practices for data with personal health identifiers (PHI) covered under HIPAA. + Strong interpersonal and communication skills. And has full command (verbal and written) of the English language. + Demonstrates commitment to customer service and an ability to meet the needs and expectations of patients and health care colleagues. + Demonstrated success working independently, forging relationships, and managing multiple tasks with minimal directions. + Ability to promote and foster participation/collaboration among individuals and groups. + Ability to handle multiple demands and/or manage complex and competing priorities. + Ability to analyze qualitative and quantitative information for decision support. + High level of proficiency using Microsoft Windows and other Microsoft Office software: MS Excel, Outlook, Powerpoint Word, etc. + Must be able to manage competing priorities, while being extremely adaptable and flexible and maintaining a positive work environment. **Req ID** : 14197 **Working Title** : Research Associate Data Scientist -Computational Biomedicine **Department** : Computational Biomedicine **Business Entity** : Cedars-Sinai Medical Center **Job Category** : Information Technology **Job Specialty** : Bus Intelligence/Reporting **Overtime Status** : EXEMPT **Primary Shift** : Day **Shift Duration** : 8 hour **Base Pay** : $78,332 - $133,161 Cedars-Sinai is an EEO employer. Cedars-Sinai does not unlawfully discriminate on the basis of the race, religion, color, national origin, citizenship, ancestry, physical or mental disability, legally protected medical condition (cancer-related or genetic characteristics or any genetic information), marital status, sex, gender, sexual orientation, gender identity, gender expression, pregnancy, age (40 or older), military and/or veteran status or any other basis protected by federal or state law.