About the job
As a Lead Cytopathologist, you will serve as a medical and scientific expert in the development of algorithmic pathology solutions. You will provide medical and scientific oversight for dataset curation, annotation strategy, and algorithm evaluation, ensuring that our products are clinically robust and aligned with real-world pathology practice. You will also help manage and train annotator teams to ensure quality, consistency, and scalability of labeled datasets. This role requires a board-certified pathologist with a deep understanding of cytopathology, rapid on site evaluation, and pathology workflows. Ability to work at our San Carlos, CA office is strongly preferred.
Responsibilities
Provide expert pathology guidance across product development initiatives
Work with a team of consultant pathologists to support annotation, validation, and research activities
Evaluate and annotate pathology images and data
Oversee pathology data quality, consistency, and interpretability across diverse datasets
Guide algorithm validation, ground truth curation, and performance evaluation from a clinical perspective
Contribute to product development roadmaps and clinical validation studies
Participate in scientific research, publications, and presentations
Represent pathology and clinical interests in cross-functional discussions
Qualifications
Minimum
Minimum Education: MD / DO, Board certification in pathology and fellowship training in cytopathology
5+ years of experience in clinical cytopathology and ROSE
Strong understanding of pathology workflows, sample preparation, and diagnostic criteria
Familiarity with digital pathology and ability to adapt to and learn new digital workflows
Excellent communication skills, with the ability to translate clinical insight into actionable guidance for non-clinical and technical teams
Preferred
Prior experience in medical imaging annotation and digital pathology
Involvement in research or validation of AI-based pathology tools
Prior experience in diagnostics or healthcare technology
Publications or presentations in computational pathology or AI applications
Familiarity with ML/AI workflows and dataset curation
Experience with regulatory frameworks for medical data (FDA, CE, HIPAA)
Up to 20% travel