Digital Pathologist

We are currently hiring a Digital Pathologist to advance computational toxicologic pathology and support the development of innovative therapeutics. At Roche, you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come.

• Design and implement pathology investigations and automate algorithms.
• Collaborate with multidisciplinary teams to support computational toxicologic pathology.
• Propose, conduct, and report computational toxicologic pathology approaches to understand mechanisms of toxicity.
• Support the automation of pathology algorithms, workflows, and platforms, ensuring scientific delivery of pathology data for risk assessment across projects.
• Provide expert pathology support in preclinical development, aligning toxicity study designs with current science and regulatory guidelines.
• Conduct qualitative and quantitative (histo)pathologic evaluations for discovery and development toxicology studies, including GLP-compliant studies.
• Peer-review histopathologic data and interpretations from internal or CRO pathologists per established SOPs.
• Integrate clinical pathology data with histopathology findings for holistic, mechanistic interpretation of toxicity.
• Deliver clear, concise test result interpretations and author pathology sections for Research Reports, regulatory filings, and governance presentations.
• Propose, build, test, and implement custom image analysis solutions and algorithms to automate cell and biomarker quantification on scanned tissue.
• Oversee the integration of ML and non-ML software to detect, segment, and score complex tissue morphologies.
• Extract high-dimensional spatial features and quantitative metrics from multiplexed or standard IHC and ISH slides.
• Transform complex tissue images into structured, clean data arrays to uncover subtle or sub-visual drug-induced tissue alterations.
• Develop, upgrade, or customise end-to-end Python scripts, processing pipelines, automated data visualisation tools, and digital pathology dashboards.
• Collaborate with data engineering and software development teams to build, maintain, and deploy code using standard software engineering practices.
• Leverage specialised software ecosystems to ensure code scalability and streamlined data transfers across pathology.
• Ensure all digital pathology and image analysis solutions comply with relevant validation guidelines, particularly for GLP study components.
• Support the evolution of pathology SOPs to encompass modern digital and computational workflows.
• Participate in cross-industry working groups, digital pathology consortia, international congresses, and peer-reviewed publications.
• Establish and maintain strong connections with Key Opinion Leaders (KOLs) and external consultants to onboard advancements in digital toxicologic pathology.
• Serve as a matrix lead and collaborative partner within multidisciplinary teams, connecting pathology, computational capabilities, and discovery biology.
• Continuously optimise digital imaging workflows, data flow infrastructure, and sample turnaround to drive pipeline efficiency.
• Supervise, train, and coach technicians, PhD students, and postdocs entering the computational pathology domain.
• Align computational resource allocation and algorithm development with the strategic, commercial, and operational priorities of the broader portfolio.