Senior Bioimage Scientist

At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way – it’s about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions. Our Values: We Seek A Better Way : We pursue bold ideas, embrace complexity, and keep pushing forward. We Make It Happen : We act with urgency, deliver with excellence, and always find a way. We Are Stronger Together : We engage with empathy, align around what's best for Veracyte, and celebrate as one team. We Care Deeply : We show up with integrity, kindness, and respect for one another. The Position: We are seeking a Senior Scientist to join the Discovery Research team as a Bioimage Scientist focused on tissue-based oncology diagnostics. This role sits at the interface of pathologists, biologists, and AI/ML teams, contributing directly to new assay development, DPAI tool development, biological interpretation, and diagnostic product advancement. This is a wet- and dry-lab role, responsible for developing, optimizing, and validating imaging assays and quantitative image analysis to link biological and clinical questions with interpretable image-derived metrics and features. Location: San Diego (Hybrid) Responsibilities Lead conception, design, execution and analysis of tissue-based imaging assays (including H&E, IHC, special tissue stains, multiplex stains, spatial biology). Build image analysis workflows to extract interpretable, multi-scale morpho-quantitative biomarkers. Design workflow controls, stress tests, quantification and scoring strategies to establish robust methods that connect biological/clinical hypotheses (e.g., immune contexture, tumor aggressiveness, treatment response) with explainable image-based measurements. Work closely with pathologists to define annotation schemas, perform and oversee WSI annotation to generate high-quality datasets for DPAI algorithm development, model interpretation, etc. Partner with bioinformatics and AI/ML teams to design, develop, test, and refine quantitative image analysis and DPAI workflows, from image QC and annotation strategies to biomarker quantification and explainability. Drive image-based tumor phenotyping and quantitative analyses to characterize tumor, stromal, and immune cell populations, interactions and features. Provide cross-functional technical leadership and mentoring in bioimage analysis, slide management and annotation, and TME characterization. Guide operational deployment of workflows and analytical tools, including automation, scaling, SOP and validation design for CLIA/CAP regulated environments. Evaluate, benchmark, and integrate, as appropriate, commercial and open-source image analysis tools and AI models that enhance diagnostic and research capabilities. Who You Are: An experienced bioimage scientist with deep hands-on expertise in tissue-based imaging assays, imaging analysis, quantitative histopathology and TME phenotyping. Familiarity with diagnostic product development. Comfortable operating at the interface of pathology, biology and AI/ML, translating complex tissue phenotypes into structured, quantitative data. Able to work with urgency and ownership in a fast-paced, cross-functional diagnostics environment. A clear communicator who can bridge pathologists, experimental scientists, and computational teams. Requirements Ph.D. in biology, biomedical sciences, bioengineering, computational biology, or related field (oncology expertise preferred). ≥6 years postgraduate experience, with ≥3 years in regulated industry preferred. Proven expertise in tissue staining assays, IHC, imaging assay development, quantitative histopatholo