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Cedars-Sinai Research Associate Data Scientist - Computational Biomedicine in West Hollywood, California

Join us as we translate today's discoveries into tomorrow's medicine!

When the work you do every single day has a crucial impact on the lives of others, every effort, every detail, and every second matters. This shared culture of happiness, passion, and dedication pulses through Cedars-Sinai, and it’s just one of the many reasons why we ranked the #1 hospital in California and #2 hospital in the nation by U.S. News & World Report, 2022‑

  1. Are you ready to be a part of breakthrough research?

The Department of Computational Medicine is a robust infrastructure that supports bioinformatics, computational, and statistical needs of all faculty across the Cedars-Sinai enterprise and the expanding needs of our Departments and Institutes. To learn more, please visit Department of Computational Biomedicine | Cedars-Sinai.

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.


  • 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.

Working Title: Research Associate Data Scientist - Computational Biomedicine

Department: Computational BioMedicine

Business Entity: Academic / Research

Job Category: Information Technology

Job Specialty: Business Intelligence/Reporting

Position Type: Full-time

Shift Length: 8 hour shift

Shift Type: Day

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.