Data Analyst

Pittsburgh, PA, US • Posted 13 hours ago • Updated 3 minutes ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Health Care
  • Research
  • Science
  • Statistics
  • Regression Analysis
  • Linear Regression
  • Machine Learning (ML)
  • Natural Language Processing
  • Gradient Boosting
  • Data Analysis
  • Visualization
  • Technical Drafting
  • Publications

Summary

The University of Pittsburgh School of Health and Rehabilitation Sciences is a nationally renowned leader in the field of health care education, research, and clinical practice preparation. SHRS has 14 different disciplines related to health and rehabilitative care.

The department of Rehabilitation Science and Technology is seeking a Data Analyst to conduct primary statistical analyses in support of the study aims, including Cox proportional hazards regression for time-to-eligibility outcomes, Poisson/negative binomial models for diagnostic utilization, and linear regression for patient satisfaction outcomes. Responsibilities will include applying machine learning and clinical NLP techniques (e.g., gradient boosting, GPT-2 embeddings) as appropriate. Analyses will be reproducible, well-documented, and completed on schedule to support publications and grant deliverables. The candidate will support preparation of the follow-on grant applications and other grant submissions through preliminary data analysis, results visualization, and manuscript drafting. The candidate will also contribute to peer-reviewed publications as appropriate.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX1ea725
  • Position Id: c1d82953ac90d2e9812b42b7764e67b1
  • Posted 13 hours ago
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