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POSITION SUMMARY: We are seeking an Associate Director or Director of Product Management to spearhead the strategy, development, and commercialization of our oncology diagnostic algorithms and data products. Powered by our proprietary cell-free DNA (cfDNA) platform and one of the world's largest longitudinal clinico-genomic datasets, this role translates complex machine learning outputs into validated standard-of-care tools for cancer detection and biopharma partnerships. Reporting directly to the Senior Director of Product Management - Oncology Innovations, this position operates with broad technical and commercial autonomy to bring algorithm-driven solutions from concept through analytical validation. This is an ownership role for a builder who wants to eliminate functional silos and use data to pressure-test product assumptions in a fast-paced, science-driven environment. PRIMARY RESPONSIBILITIES: Product Strategy and Roadmap Ownership Own the multi-year product roadmap for AI-powered diagnostics, resolving complex data science and commercial priorities by grounding product milestones in clinical validation data Isolate and pressure-test high-value innovation opportunities to build a differentiated pipeline of AI-enabled diagnostic algorithms and biopharma data products Translate large, longitudinal genomic and real-world datasets into clinically meaningful, regulatory-ready algorithms that address unmet clinical needs Establish clear, unvarnished product requirements and data validation metrics for prospective algorithm pipelines Algorithm Development and Lifecycle Management Lead cross-functional execution across the full lifecycle—from initial concept and analytical validation through health-authority navigation and commercial launch Partner closely with Bioinformatics, AI Research, and Data Science teams to translate next-generation sequencing data into robust algorithms supporting molecular residual disease (MRD) monitoring and therapy response prediction Advance priority algorithm concepts through proof-of-concept testing and coordinate analytical validation strategies Formulate and launch data product pilots with target biopharma and clinical trial partners to maximize data utility and commercial relevance Cross-Functional Leadership and Stakeholder Alignment Align matrixed scientific, clinical, regulatory, and commercial teams to keep complex, data-driven products moving forward past operational bottlenecks Coordinate product execution loops with teams across Clinical Genomics Database (CGDB), AI Research, and Biopharma Business Development Communicate with technical and scientific precision when engaging biopharma partners and academic key opinion leaders (KOLs) Maintain a transparent, fast-iterating product methodology, utilizing data to guide decisions and ensuring algorithms are commercially viable and scalable QUALIFICATIONS: Advanced degree (PhD, MD, MS, or MBA preferred) paired with 8+ years of total experience within biotechnology, diagnostics, or pharma-facing data products. 5+ years of dedicated product management experience within molecular diagnostics, genomics, or life sciences data platforms Documented track record of leading complex data or diagnostic products completely through the lifecycle from early concept to on-market commercialization Direct experience partnering with bioinformatics, computational biology, or data science teams to develop or commercialize algorithm-driven software assets Deep experience working with large-scale genomic datasets, multi-omic frameworks, or clinical real-world evidence (RWD) KNOWLEDGE, SKILLS, AND ABILITIES: Deep structural understanding of oncology diagnostics, biomarker validation workflows, clinical trial architectures, and emerging liquid biopsy technology Technical data fluency with the capability to engage as a peer with artificial intelligence researchers and computat