University of Missouri System-posted 2 months ago
Part-time
Kansas City, MO
5,001-10,000 employees
Educational Services

We are seeking a motivated and skilled Research Associate to conduct an impactful research project involving AI and medical imaging and support the establishment and growth of an AI-focused research lab. The associate will play a crucial role in setting up computational infrastructure, developing educational resources for onboarding new students, and curating workflows to streamline research activities. This is an excellent opportunity for someone passionate about artificial intelligence, research infrastructure, and academic collaboration.

  • Conducting AI-Based Research Projects
  • Developing state-of-the-art AI models for medical imaging tasks
  • Validation and benchmarking against existing models/techniques
  • Research presentation
  • Scientific manuscript preparation
  • AI Infrastructure Setup & Maintenance
  • Assist in the procurement, installation, and maintenance of computing hardware.
  • Set up and manage cloud-based infrastructure and local development environments.
  • Ensure system security, regular updates, and backups.
  • Maintain software environments using containers, virtual environments, and package managers.
  • Research Workflow Curation
  • Develop standardized workflows for data processing, model training, evaluation, and experiment tracking.
  • Assist in organizing datasets, scripts, and codebases for reproducibility.
  • Implement tools for experiment tracking, version control, and collaborative development.
  • Educational Material Development
  • Create tutorials, walkthroughs, and documentation to onboard new lab members.
  • Provide technical training and support to undergraduate and graduate students.
  • Maintain a knowledge base or internal wiki for lab operations.
  • Technical & Administrative Support
  • Support the PI and lab members in managing and documenting ongoing projects.
  • Coordinate with university IT or administrative units for relevant approvals and technical assistance.
  • Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related field.
  • Familiarity with AI/ML tools and libraries.
  • Proficiency in Python and experience with version control (Git).
  • Strong organizational and communication skills.
  • Prior experience working in a research or academic lab environment.
  • Experience with documentation tools and instructional design.
  • Knowledge of cloud platforms and containerization tools.
  • This position is not eligible for University benefits.
  • Individuals in non benefit eligible positions may choose to participate in the Tax Deferred Annuity Plan (403b).
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