Research Associate Data Scientist - Tatonetti Lab - Data-Driven Precision Pharmacology

Cedars Sinai

West Hollywood, CA, United States

about 1 month ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Job source

dejobs.org

Tech stack

Microsoft Word Microsoft Excel Artificial Intelligence Data Analysis Microsoft Outlook Computer Programming Databases Decision Support Systems Github R (Programming Language) Python (Programming Language) Machine Learning

+8 more

Microsoft Office Microsoft PowerPoint SQL Databases Delivery Pipeline Information Technology Data Analytics Software Version Control Programming Languages

Job description

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.
Tests and validates code to ensure robustness of data applications with version control through GitHub.
Performs all other duties as assigned.

Requirements

Bachelor’s degree in Computer Sciences, Machine Learning, Applied Mathematics, Econometrics, Statistics, Engineering, Physics, or related field, required. Master’s degree, preferred., * No prior professional experience required.
Experience programming at an intermediate skill level with a high-level programming language such as R or Python. College projects may be acceptable.
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.

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