Principal Scientist - Computational Histopathology Lead

Principal Scientist – Computational Histopathology Lead

Contract opportunity located in Collegeville, PA. Full‑time M-F (7am‑8am start time, 8‑hour shift) with possible evening and overtime due to projects.

Master’s degree in Computational Biology, Bioinformatics, Biomedical Engineering, Computer Science, Data Science, Pathology, Biostatistics, or related scientific discipline.

• Provide scientific leadership and technical oversight for computational pathology programs supporting biomarker discovery and translational research initiatives.
• Define and execute computational pathology strategies aligned with project objectives and scientific priorities.
• Lead multidisciplinary teams consisting of computational scientists, pathologists, data engineers, image analysts, and laboratory personnel.
• Serve as the primary scientific liaison between research, pathology, bioinformatics, translational medicine, and external stakeholders.
• Present scientific findings, project updates, and strategic recommendations to senior leadership and project governance committees.

• Lead the development, validation, optimization, and deployment of computational pathology pipelines for histological image analysis.
• Design and implement machine learning and artificial intelligence approaches for tissue classification, segmentation, biomarker quantification, and predictive modeling.
• Oversee development of image analysis algorithms using commercial and open‑source platforms, including Halo AI, Visiopharm, QuPath, and Cell Profiler.
• Ensure analytical methodologies are scientifically rigorous, reproducible, and fit for purpose.
• Establish best practices for algorithm validation, quality control, and performance monitoring.

• Collaborate with pathology and translational research teams to identify and validate tissue‑based biomarkers.
• Support development of quantitative image analysis methodologies to assess biomarker expression and spatial biology features.
• Interpret histopathological and computational findings to generate actionable scientific insights.
• Contribute to translational research strategies that support preclinical and clinical development programs.

• Lead development of metadata ingestion, reconciliation, and data integration strategies supporting digital pathology ecosystems.
• Oversee implementation of automated workflows that integrate image data, metadata, and analytical outputs into enterprise image management systems.
• Ensure data integrity, traceability, and compliance with organizational data standards.
• Collaborate with data engineering and informatics teams to improve data accessibility and analytical efficiency.

• Establish project governance frameworks, including stage gates, milestone reviews, risk management processes, and performance metrics.
• Ensure all computational methodologies and deliverables are documented according to pharmaceutical industry standards and Good Documentation Practices (GDP).
• Review and approve technical reports, validation documentation, protocols, and scientific deliverables.
• Identify project risks and develop mitigation strategies to ensure successful execution.
• Support audits, inspections, and regulatory inquiries related to computational pathology activities.

• Partner with pathologists, translational scientists, laboratory teams, bioinformaticians, statisticians, and external vendors.
• Facilitate regular project review meetings and governance forums.
• Communicate complex technical concepts to both scientific and non‑technical stakeholders.
• Drive alignment across cross‑functional teams to ensure successful project execution.

• Master's degree or PhD in Computational Biology, Bioinformatics, Biomedical Engineering, Computer Science, Data Science, Pathology, Biostatistics, or related scientific discipline.
• 10+ years of experience in computational pathology, digital pathology, image analysis, biomarker research, translational medicine, or related disciplines.
• Minimum 5…