Pathology Assistant/Pathologist (CAP Pathology Report)(AJCC Stagging)(REDCap/Epic Beaker/LIMS systems) (Part Time)

Looking for an experienced Pathology Assistant to work closely with our AI technical team in developing automation tools for reading and extracting data from CAP-formatted pathology reports. Your role will be critical in guiding the AI s understanding of pathology language, structures, and staging logic especially for cancer reports following AJCC guidelines.

This is a fully remote, part-time contract position with flexible hours.

Key Responsibilities:
Read and interpret pathology reports in various formats that follow the College of American Pathologists (CAP) templates.
Collaborate with the AI/ML engineering team to:
Identify and annotate key data elements in reports (e.g., tumor type, size, margins, staging).
Train models to recognize structured fields from free-text.
Provide validation and feedback on data extracted by the AI.
Assist in mapping pathological findings to dropdown-based data entry formats.
Review and QA processed reports, flagging any inconsistencies or gaps in interpretation.
Support the development of a confidence scoring framework for automated entries.
Help maintain clinical accuracy of a pathology-specific knowledge base used by AI.

Ideal Candidate Has:
3+ years of experience working with CAP pathology reports, either in a clinical, research, or pathology lab setting.
Strong familiarity with AJCC staging systems, terminology, and variations across tumor types.
Hands-on experience with digital pathology or structured data entry is a big plus.
Clear communication skills and ability to work cross-functionally with engineers and non-clinical teams.
Detail-oriented mindset with a strong sense of clinical accuracy.
Comfort working remotely and using collaborative tools (Zoom, Google Docs, Slack, etc.)

Preferred Qualifications:
Degree or certification in Pathology Assisting, Histotechnology, Biomedical Sciences, or similar field.
Prior experience in clinical informatics, health data annotation, or AI/ML teams.
Familiarity with tools like REDCap, Epic Beaker, or LIMS systems is a bonus.