Research Data Scientist I

Cleveland Clinic

1d•Remote

About The Position

Join the Cleveland Clinic team, where you will work alongside passionate caregivers and provide patient-first healthcare. Cleveland Clinic is recognized as one of the top hospitals in the nation. At Cleveland Clinic, you will receive endless support and appreciation and build a rewarding career with one of the most respected healthcare organizations in the world. As a Research Data Scientist, you will utilize statistical, mathematical, and predictive modeling techniques to analyze complex datasets and develop algorithms that support research initiatives. In this role, you will apply programming skills using tools such as SAS, SQL, SPSS, R, Python, MATLAB, or similar languages to perform data analytics, generate insights, and contribute to data-driven decision-making. A caregiver in this role works remotely from 8:00 a.m. – 5:00 p.m. To be considered for this position, caregivers must reside in Ohio, Florida, or Nevada.

Requirements

Bachelor's degree in Statistics, Economics, Mathematics, Physics, Computer Science, Engineering or related field and two years of experience conducting data analytics, math or statistical modeling or machine learning OR Master’s or PhD degree
Proficiency with programing skills in languages such as SAS, SQL, SPSS, R, Python, MATLAB or similar

Nice To Haves

Experience in ML (Machine Learning) – AI (Artificial Intelligence)
EHR clinical data experience
Statistical modeling experience
Experience working with healthcare research data
Experience building machine learning models
Experience using modern AI tools
Experience with managing end-to-end data workflows

Responsibilities

Utilize basic statistical, mathematical, and predictive modeling techniques to build algorithms and perform data analytics.
Utilize programming skills in languages such as SAS, SQL, SPSS, R, Python, MATLAB, or similar tools.
Perform basic data analysis including data validation, investigation, and hypothesis testing.
Assist Principal Investigator in transforming data to support research questions and develop basic predictive and statistical models using modeling tools.
Identify and implement process improvement opportunities to enhance efficiency in data extraction, reporting, programming, and operations.
Curate and process complex clinical and biological data sets.
Communicate and present research findings as needed.
Identify technical issues and manage resolution for analytics programs.
Interpret research protocols and translate them into analytical requirements.
Run statistical analyses and support machine learning model development.
Generate charts, graphs, and other data visualizations.
Assist with manuscript preparation and publication support.
Other duties as assigned.