
201 - 500 employees
Founded 2009
⚕️ Healthcare Insurance
🔬 Science
🧬 Biotechnology
Healthcare Insurance • Science • Biotechnology
DNAnexus is a leading provider of a comprehensive enterprise platform for genomic and precision health data management and analysis. It offers a robust suite of bioinformatics tools that enables organizations to manage, analyze, and collaborate on large-scale genomic datasets effortlessly. Leveraging cloud technology, DNAnexus facilitates secure and compliant environments for data sharing and real-world evidence generation, which can be harnessed to drive scientific breakthroughs and improve patient care. Serving industries such as pharmaceuticals, biotech, clinical diagnostics, biobanks, and population health programs, DNAnexus empowers precision health innovators to unlock insights efficiently and effectively.
🔥 16 hours ago
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201 - 500 employees
Founded 2009
⚕️ Healthcare Insurance
🔬 Science
🧬 Biotechnology
Healthcare Insurance • Science • Biotechnology
DNAnexus is a leading provider of a comprehensive enterprise platform for genomic and precision health data management and analysis. It offers a robust suite of bioinformatics tools that enables organizations to manage, analyze, and collaborate on large-scale genomic datasets effortlessly. Leveraging cloud technology, DNAnexus facilitates secure and compliant environments for data sharing and real-world evidence generation, which can be harnessed to drive scientific breakthroughs and improve patient care. Serving industries such as pharmaceuticals, biotech, clinical diagnostics, biobanks, and population health programs, DNAnexus empowers precision health innovators to unlock insights efficiently and effectively.
• Product strategy: In partnership with the Head of Product, translate product vision for the omics platform into a credible multi-quarter roadmap for molecular data consumption and analytics. • Define researcher and developer experiences: define and iterate on how computational biologists, data engineers, and enterprise teams query, analyze, and extract insights from omics data at scale. • Lead interoperability requirements: specify the integration layer that connects the omics platform to enterprise analytical environments and other platforms in the omics ecosystem. • Define GUI experiences and consumption-layer APIs that serve diverse user types. • Define agent-ready platform requirements: specify what analytics APIs and data structures must look like to support agentic users. • Define benchmarking requirements: specify the researcher queries, analytical functions, and performance metrics that engineering and product design need to optimize for. • Lead customer and design partner programs: run structured discovery sessions with pharma and biotech partners. • Drive cross-functional execution: serve as the product manager for your engineering pod. Author high-quality Epics and User Stories.
• 7+ years in product management, including meaningful time owning platform or infrastructure products with real users and measurable outcomes. • Applied PM experience in data warehousing and distributed analytics frameworks (Spark, Trino, DuckDB, BigQuery, or similar). • Platform and technical depth. • Fluency in distributed compute concepts and API design for technical users. • Both zero-to-one and mature-product experience. • Cross-functional influence. • Executive communication. • Experience in regulated data environments is strongly preferred. • Biological literacy is strongly preferred.
• medical insurance • dental insurance • vision insurance • 401(k) retirement plan • life insurance • long-term disability insurance • short-term disability insurance • flexible paid time off • 12 weeks of paid parental leave • national holidays paid
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