Principal Scientist – Computational Histopathology Lead

Principal Scientist – Computational Histopathology Lead (BH-397888)

Location:

Collegeville, United States. Sector:
Pharmaceuticals. Salary: $70.00 to $100.00 per hour.

Principal Scientist – Computational Histopathology Lead needed for a contract opportunity with Yoh Scientific’s client located in Collegeville, PA
. This position requires a Master's degree in Computational Biology, Bioinformatics, Biomedical Engineering, Computer Science, Data Science, Pathology, Biostatistics, or related scientific discipline
. Schedule is full-time M-F (7am-8am start time, 8 hour shift) and may require flexibility to work some evenings and overtime due to projects.

The Principal Scientist – Computational Histopathology Lead will serve as the scientific and technical lead for computational pathology initiatives supporting biomarker discovery, translational research, and digital pathology innovation.

• 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…