Professional Aide

Position Summary

This is a temporary or an on-call position. Provides professional support. Responsibilities may include general business, science, medical, agricultural or other professional support functions. Term: Temps can work two (2) nine (9) month terms with a week break in service in between and at the end of the second term terminate for three (3) months or switch to an on-call. On-Call allowed to work 1039 hours in any twelve (12) month period.

Unit Position Summary

This position offers an opportunity to work at the interface of computational science and biology, developing innovative approaches for extracting biological insights from large-scale imaging and multi-omics datasets. The successful candidate will play a central role in designing, implementing, and maintaining computational workflows for AI-assisted image analysis, quantitative pathology, and research data analysis. Projects will include applying machine learning and computer vision approaches to microscopy and histopathology images, integrating imaging with transcriptomic and other molecular datasets, and developing reproducible analysis pipelines that enable new biological discoveries. In addition to computational research, the Research Assistant will collaborate closely with graduate students, postdoctoral fellows, and faculty members to support experimental studies, curate and organize research data and metadata, and contribute to interpretation of biological results. The position provides opportunities to participate in interdisciplinary research spanning toxicology, liver biology, bioinformatics, spatial biology, and artificial intelligence.

Required Qualifications

• Excellent organizational and problem-solving skills
• Experience with Python and/or R for scientific computing
• Familiarity with Linux/bash, Git version control, and Jupyter notebooks

Desired Qualifications

• Experience with image analysis, machine learning, deep learning, or computer vision
• Experience with cloud computing, containerization (e.g., Docker or Singularity), or high-performance computing
• Experience with AWS
• Strong communication skills
• Comfortable using the bash command line and Git version control system
• Enthusiastic about learning new computational methods and working collaboratively in a multidisciplinary research environment

Required Application Materials

• Cover letter outlining qualifications and relevant experience
• Current CV
• Contact information for two or more references

Work Hours

STANDARD 8-5