Research Data Scientist I

Cleveland Clinic
2dHybrid

About The Position

Join Cleveland Clinic’s Main Campus where research and surgery are advanced, technology is leading-edge, patient care is world-class, and caregivers are family. Cleveland Clinic is recognized as one of the top hospitals in the country. You will work alongside passionate and dedicated caregivers, receive endless support and appreciation, and build a rewarding career with one of the most respected healthcare organizations in the world. The Research Data Scientist for HVTI will serve as the primary data manager for multi-disciplinary research studies and will be responsible for generating and managing various reports. Knowledge of research methods and medical terminology is preferred but not required—we will train the right candidate. We are seeking someone with a strong data background and skills in computer science, IT, or programming. A caregiver in this position works days, from 8:00am—5:00pm. After training, the position has the option to be hybrid which will require a combination of on-stie and remote work.

Requirements

  • Bachelor's degree in Statistics, Economics, Mathematics, Physics, Computer Science, Engineering, or related field
  • Two years of experience conducting data analytics, math or statistical modeling or machine learning OR Master’s or PhD degrees in related fields may offset the experience requirement
  • Demonstrate proficiency with programing skills in languages such as SAS, SQL, SPSS, R, Python, MATLAB or similar

Nice To Haves

  • Knowledge of research methods and medical terminology is preferred but not required

Responsibilities

  • Perform basic data analysis to include data validation, investigation, and testing of hypotheses.
  • Assist Principal Investigator with transforming data to support the investigation of research questions.
  • Build basic predictive models, and other mathematical or statistical models as needed by using modeling tools.
  • Utilize process enhancement opportunities to improve the efficiency of data pulling, reporting, programming, operation etc.
  • Work to curate and process complex clinical and biological data.
  • May communicate or present research findings.
  • Identify technical issues and manage resolution for analytics programs.
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