Cleveland Clinic

Research Data Scientist III – Brain Research

Cleveland Clinic

full-time

Posted on:

Location Type: Remote

Location: Nevada • United States

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Tech Stack

ETLJavaMapReducePythonSparkSQL

About the role

  • A Data Scientist III in Brain Research is a senior, research-focused professional who applies advanced analytics, statistical modeling, and machine learning to support neuroscience studies and clinical discovery.
  • In close partnership with Principal Investigators (PIs), this role designs and executes research initiatives using multimodal neuroimaging data—including MRI, fMRI, and DTI—to examine structural and functional changes across the brain.
  • Key responsibilities include developing Python-based computational workflows for data preprocessing, analysis, and modeling; testing and validating hypotheses across specific brain regions; and translating complex analytical results into clear, actionable insights for research and publication.
  • Collaborating with cross-functional teams to design and build data-driven software systems, such as analytics platforms, data pipelines, and machine learning–enabled applications.
  • Advancing disease-focused research including Alzheimer’s disease, stroke, and epilepsy by uncovering patterns in brain data that inform diagnosis, disease progression, and treatment strategies.
  • Developing new software, data models, and proof-of-concept solutions, ensuring rigorous testing and validation to deliver reliable, production-quality outcomes while working closely with PIs throughout the research lifecycle.

Requirements

  • Bachelor’s Degree in Statistics, Actuarial Science, Econometrics, Physics, Biostatistics, Computer Science, Applied Mathematics, Engineering, Business Analytics, Economics, Finance or related field and 4 years of related experience working with relational databases and/or distributed computing platforms, and their query interfaces, such as SQL, Teradata, MapReduce, PIG, and Hive OR PH.D OR Master’s Degree and 2 years of relevant experience
  • Excellent written, verbal, and presentation skills in English and ability to explain the value of Machine Learning (ML) and Artificial Intelligence (AI) to business leaders
  • Experience working with a variety of statistical languages/packages, e.g., SAS, R, Python, Spark, and/or SPSS
  • Knowledge applying advanced statistics to complex business problems required (e.g., modeling, AI, ML, Deep Learning [DL], and/or Natural Language Processing [NLP])
  • Familiarity with additional programming languages, including Python, Java, or C/C++
  • Experience leveraging visualization software and techniques and business intelligence (BI) software
  • Technical knowledge of distributed computing platforms, and common data process flows from data instrumentation & generation, to ETL, to the data warehouse itself
  • Demonstrated leadership qualities, including presentation, influencing and negotiation
Benefits
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data analysisstatistical modelingmachine learningPythonSQLSASRDeep LearningNatural Language Processingdata preprocessing
Soft Skills
written communicationverbal communicationpresentation skillsinfluencingnegotiationcollaborationleadership