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. Education and Experience Master’s degree in Computational Biology, Bioinformatics, Biomedical Engineering, Computer Science, Data Science, Pathology, Biostatistics, or related scientific discipline. Key Responsibilities Scientific Leadership 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. Computational Pathology & Image Analysis 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 CellProfiler. Ensure analytical methodologies are scientifically rigorous, reproducible, and fit for purpose. Establish best practices for algorithm validation, quality control, and performance monitoring. Biomarker Discovery & Translational Research 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. Data Integration & Metadata Governance 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. Governance, Compliance & Documentation 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. Stakeholder Management 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. Qualifications 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 years of leadership experience managing multidisciplinary scientific teams and complex research programs. Demonstrated experience supporting pharmaceutical, biotechnology, CRO, or translational research organizations. Experience leading computational pathology initiatives from concept through validation and deployment. Experience managing external vendors, collaborators, and scientific partnerships. Experience with multiplex imaging technologies, immunohistochemistry (IHC), immunofluorescence (IF), and spatial transcriptomics. Knowledge of FDA, GxP, and pharmaceutical research quality standards. Experience working with automated staining platforms such as Ventana Discovery Ultra and Leica Bond RX. Publications, patents, or recognized scientific contributions in computational pathology or digital pathology. Estimated Rate Minimum Rate: $70.00 per hour – Maximum Rate: $100.00 per hour. Benefits Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week) Health Savings Account (HSA) (for employees working 20+ hours per week) Life & Disability Insurance (for employees working 20+ hours per week) MetLife Voluntary Benefits Employee Assistance Program (EAP) 401K Retirement Savings Plan Direct Deposit & weekly epayroll Referral Bonus Programs Certification and training opportunities Equal Employment Opportunity Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Additional Information Visit to contact us if you are an individual with a disability and require accommodation in the application process. 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