Research Data Scientist

Position Overview

Cleveland Clinic Foundation in Cleveland, OH is seeking three Research Data Scientists to support innovative research efforts. In this role, you will utilize statistical, mathematical, and predictive modeling techniques along with programming skills to build algorithms, perform data analytics, and transform complex clinical and biological data.

Key Responsibilities

• Utilize basic statistical, mathematical, and predictive modeling to build algorithms and perform data analytics.
• Utilize programming skills in languages such as SAS, SQL, SPSS, R, Python, MATLAB, or similar.
• Perform data analysis including data validation, investigation, and hypothesis testing.
• Assist the Principal Investigator in transforming data to support research investigations.
• Build basic predictive, mathematical, or statistical models using appropriate modeling tools.
• Enhance processes to improve the efficiency of data pulling, reporting, programming, and operations.
• Curate and process complex clinical and biological data.
• Communicate or present research findings as required.
• Identify and manage technical issues for analytics programs.

Required Qualifications

• Proficiency in SAS, SQL, SPSS, R, Python, MATLAB, or similar.
• Master’s degree in Statistics, Mathematics, Computer Science, Engineering, or a related Life Science field (e.g., Neuroscience, Psychology, Genetics) or Computational Linguistics. Alternatively, a Bachelor’s degree in these fields with 2 years of experience in data analytics, mathematical or statistical modeling, or machine learning will be considered.

Compensation & Benefits

• Salary Range: Minimum Annual Salary: $76,540.00; Maximum Annual Salary: $116,747.50.
• Note: The salary range reflects the anticipated range for new hires. Actual compensation will be determined based on work history, experience, skill set, and education, and does not include any applicable pay practices (e.g., shift differentials, overtime) or the value of Cleveland Clinic’s benefits package (e.g., healthcare, dental, vision, and retirement contributions).