Research Associate Data Scientist- Surgery Chair, Ruppin Lab

** Job Description*
* ** Join us as we translate today's discoveries into tomorrow's medicine!*
* ** 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 Git Hub 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.

** 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

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.