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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

Educational Requirements:

• Bachelor?s degree in Computer Science, Machine Learning, Applied Mathematics, Biomedical Imaging, Statistics, Engineering, Physics or related discipline required. Master's degree preferred.

Licenses: N/A

Experience:

• 0 to 2 years of professional experience in healthcare industries working with medical imaging data preferred.
• Experience programming at an intermediate to advanced skill level with a high-level programming language such as Python, C++, or R preferred. College projects may be acceptable.
• Experience programming at a basic to intermediate proficiency level in C++, Python and R 3 years of experience managing application design, software development, maintenance preferred.
• Experience in healthcare machine learning 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 including scientific writing. 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 research 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 research. 
• 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.

Physical Demands: 

Able to perform moderate lifting.  Able to sit, stand and walk for prolonged periods of time.  Able to read papers and online documents.  Able to operate standard office equipment.  Able to exercise physical ability and perspective acuity to satisfactorily perform essential job functions.