Biomedical AI Imaging Research Technician

Hugh Chatham Health; Winston-Salem (NC); On-site; USD 64,000 - 96,000; Full time

Benefits offered by this job

Paid Time Off

Health benefits

Educational assistance

Retirement plan

Job summary

Wake Forest University School of Medicine is seeking a Research Lab Technician to support NIH-funded projects in artificial intelligence, medical imaging, computational pathology, and precision oncology. You will curate and analyze large-scale clinical and imaging data, work with faculty and researchers, and contribute to publications and grants.

The role emphasizes hands-on data work, collaboration with clinicians, and training in advanced biomedical AI techniques within a cutting-edge research

Qualifications

• Master's degree with four years’ experience in a research or laboratory setting (or equivalent).
• Experience with data curation, analysis, and documentation is preferred.

Responsibilities

• Curate, organize, and manage large-scale clinical, imaging, pathology, and multimodal datasets.
• Perform data preprocessing, quality control, annotation, and documentation.
• Support computational analyses of CT, MRI, PET/CT, and whole-slide pathology images.
• Maintain research databases and data pipelines.
• Prepare figures and tables for manuscripts, presentations and grants.
• Coordinate activities with students, postdocs, clinicians, and collaborators.
• Assist with literature reviews and general lab operations.
• Participate in meetings and journal clubs.

Skills

Strong computer skills

Scientific principles

Grant proposals

Public speaking

Publications/presentations

Education

Master's degree in a related field

Job description

Wake Forest University School of Medicine is seeking a Research Lab Technician to support NIH-funded projects in artificial intelligence, medical imaging, computational pathology, and precision oncology. You will curate and analyze large-scale clinical and imaging data, work with faculty and researchers, and contribute to publications and grants.

The role emphasizes hands-on data work, collaboration with clinicians, and training in advanced biomedical AI techniques within a cutting-edge research