Research Assistant; Part-Time​/Hybrid - Radiology

Position Summary

Research Assistant will train machine learning models to recognize devices visible in images from fluoroscopic procedures (e.g., PTA balloons, stents, filters, embolization coils). This is part of ongoing work in Interventional Radiology to analyze performance during fluoroscopic procedures. The role assists with research studies, experiments, preparation of material, and documentation.

• Conduct research experiments and assays.
• Review and label de-identified images from fluoroscopic procedures.
• Train and test machine learning models that analyze images and procedural metadata (e.g., supplies used during procedures).
• Evaluate research results, report findings, and discuss project outcomes with staff.
• Perform data entry and maintain data files on research.
• Analyze data and prepare presentations/publications.
• Coordinate tissue cultures, reagents, probe tests, etc.
• Comply with established safety procedures and maintain required documentation on laboratory and specimen conditions.
• Coordinate research projects with other institutions and investigators.
• Participate in developing hypotheses to be tested and ways of testing them.
• Assist with general supply/equipment orders, lab maintenance and cleaning.
• Perform literature research on specified topics.
• Perform other duties as assigned.

Works in a laboratory environment with potential exposure to biological and chemical hazards. Must be physically able to wear protective equipment and provide standard care to research animals.

• Education:
  
  Bachelor’s degree or combination of education and/or experience may substitute for minimum education.
• Certifications/Professional Licenses:
  None required.
• Work Experience:
  
  Laboratory Operations (2 Years).
• Skills:
  
  Not applicable.
• Driver’s License:
  Not required.

• Education:
  
  No additional education unless stated elsewhere.
• Certifications/Professional Licenses:
  No additional certification/professional licenses unless stated elsewhere.
• Work Experience:
  
  No additional work experience unless stated elsewhere.
• Skills:
  
  Communication, Computer Literacy, Data Analysis, Document Research, Laboratory Processes, Machine Learning (ML), Python (Programming Language), Scientific Research.

Grade R07-H: $17.10 - $29.09 / Hourly.

Washington University in St. Louis is committed to the principles and practices of equal employment opportunity. It is the University’s policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, citizenship (where prohibited by federal law), age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.