Pathologist

PICTOR LABS INC•San Francisco, CA

10d•$250 - $250•Remote

About The Position

Pictor Labs is the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis. Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities. Position Overview: A Pathologist (AI/ML Diagnostics) will coordinate and contribute to Pictor Labs' histopathology research initiatives and play a pivotal role in advancing our regulatory evidence generation, product development, clinical validation efforts, and virtual staining panel development. Individuals in this role will work closely with AI/ML engineers to provide feedback and optimization of our proprietary virtual staining algorithms through evaluating and annotating virtual stains that are in development and providing constructive commentary on their improvement. She/he will use experience as a pathologist to advise appropriate translation of this technology into clinical and research histopathology settings and should be comfortable discussing our products with key opinion leaders or customers. Exposure to a wide variety of surgical pathology disciplines, experience with digital pathology, and interest in artificial intelligence / machine learning for medical product development is essential. Position Logistics: The role may be part time employee or consultant status with approximately 10-20 hours per week. Specific expectations can be negotiated with the candidate and company. This role reports to Director of Clinical Development.

Requirements

MD/DO with board certification or eligibility in Anatomic Pathology (ABP/AOBP) [Consideration of foreign medical training and pathology expertise is possible in lieu of US credentials]
Experience in digital pathology and interest in AI/ML is essential.
Strong understanding of tissue pathology across multiple organ systems.
Strong organizational, leadership, and project management skills.
Excellent written and verbal communication skills.

Responsibilities

AI/ML Virtual Staining Panel Development
Collaborate in the scientific and clinical development and validation of virtual staining panels across multiple tissue types, disease states, and applications at a standard useful for regulatory submission and maintenance in US, EU, and other jurisdictions
Evaluate concordance between virtual and traditional staining methods and coordinate results / interpretations among other pathologists, AI/ML engineers, and company leaders
Provide pathological expertise in defining staining parameters and diagnostic criteria.
Collaborate with ML/AI teams and company leaders to ensure alignment between laboratory and computational initiatives.
Perform rigorous review of quantitative model performance metrics, including sensitivity, specificity, nuclei segmentation, quantitative tumor regions assessment, and concordance rates across different tissue types and clinical scenarios.
Conduct qualitative assessments of virtual staining outputs, providing expert pathological interpretation of model strengths and limitations in real-world diagnostic contexts.
Lead multi-disciplinary modeling review sessions integrating pathological expertise with ML/AI technical analyses to optimize virtual staining algorithms for clinical utility.
Assist in writing manuscripts for peer-reviewed journal submissions or conference abstracts
External Collaboration
Serve as a medical authority in collaborations with BioPharma partners, academic institutions, and potential customers in development and commercial activities.
Build relationships with key opinion leaders in digital pathology and AI/ML diagnostics.
Participate in educational initiatives to promote virtual staining adoption.