Full-Time

Scientist - Full Time

Bascom Palmer Eye Institute

Posted on 2/21/2026

University of Miami

University of Miami

No salary listed

Company Does Not Provide H1B Sponsorship

Miami, FL, USA

In Person

Category
Lab & Research (1)
Requirements
  • Ph.D., M.D. or other doctoral level degree in relevant field
  • Minimum 10 years of relevant experience
  • Skill in collecting, organizing, and analyzing data
  • Ability to recognize, analyze, and solve a variety of problems
  • Ability to exercise sound judgment in making critical decisions
  • Programming in Python and R languages with knowledge of Google TensorFlow, PyTorch, scikit-learn, and Keras or other related deep learning libraries
Responsibilities
  • Oversees research employees, students, and other relevant staff
  • Authors scientific publications, technical and agency reports, and patent applications
  • Assists in the development of training materials for research staff
  • Plans experiments and records and analyzes findings
  • Prepares research proposals and funding applications
  • Ensures that all activities are in compliance with applicable quality and regulatory standards
  • Maintains current knowledge of relevant scientific and technical developments
  • Presents ongoing work and findings to colleagues at academic conferences
  • Adheres to University and unit-level policies and procedures and safeguards University assets
  • Develop various machine learning and data mining models including convolutional neural networks (CNNs), Transformers, large language models (LLMs), and Vision Language Models (VLMs)
  • Develop Retrieval Augmented Generation (RAG) models
  • Developing manifold learning (e.g., tSNE and UMAP), unsupervised clustering
  • Analyze electronics health record (EHR) data and retinal imaging including fundus photographs, optical coherence tomography (OCT) images and genetic data for automated screening, diagnosis, prognosis, and monitoring of major eye diseases such as glaucoma, macular degeneration, and uveitis
  • Programming in Python and R languages with knowledge of Google Tensorflow, PyTorch, scikit-learn, and Keras or other related deep learning libraries
  • Genetic data analysis

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