Product Lead, Data Applications

Summary 

At GeneDx, we are advancing precision medicine by harnessing the power of genomics and data science. As the Data Apps Product Lead, you will lead the strategy, development, and delivery of data-powered applications that leverage AI/ML and clinical genomics data to transform diagnostic insights and operational efficiency. Your work will enable clinicians, researchers, and biopharma partners to interact with complex genomic data through intelligent, intuitive, and scalable applications.

You will own the roadmap and execution of data applications that turn genomic and healthcare data into actionable experiences—whether for internal operations, external providers, or biopharmaceutical/biotech customers. Partnering closely with engineering, data science, bioinformatics, commercial and clinical stakeholders, you will help GeneDx deliver smarter tools that accelerate diagnosis, streamline workflows, and surface novel insights in rare and undiagnosed disease.

Job Responsibilities

• Own and lead product strategy, roadmap, and multi-quarter programs for next-generation data applications built on genomic, clinical, and AI-enriched datasets.
• Build intelligent apps that integrate data visualizations, insights, and decision-support capabilities tailored to users across clinical operations, commercial, and external partners.
• Lead cross-functional planning across disciplines, including Commercial, Engineering, Data Science, Bioinformatics, and UX, to deliver robust data products that are technically sound, user-centered, and clinically meaningful.
• Drive execution from prototype to scale—owning requirements, prioritization, stakeholder communication, and delivery milestones.
• Translate user needs into product functionality, shaping applications that help drive drug discovery, precision medicine and surface critical clinical and variant-level insights.
• Ensure data governance, compliance, and interoperability, integrating standards like FHIR and HL7 as needed to support clinical data exchange and responsible AI.
• Define and monitor KPIs such as:
  • Partner adoption and engagement: Percentage of external clients (e.g., biopharma, research collaborators) onboarded to the data application platform within a given timeframe; engagement measured by logins, sessions, or queries per user.
  • Data product revenue contribution: Growth in revenue attributed to the use of data-powered applications (e.g., licensing fees, subscription tiers, or usage-based pricing).
  • Time-to-value for external users: Reduction in time it takes for partners to access and derive insights from GeneDx datasets (e.g., cohort discovery or biomarker exploration), benchmarked by onboarding to first successful use case.
  • Partner satisfaction: Qualitative and quantitative feedback from biopharma and research clients on usability, reliability, and value of the external-facing data application (e.g., measured via NPS or partner success surveys). 

Education, Experience, and Skills

• 8+ years of product management experience, including 5+ years building data-powered or AI/ML-driven applications, ideally in health tech, genomics, or life sciences.
• Deep understanding of data product architecture, user-centric design for data experiences, and operationalizing insights from structured/unstructured data.
• Experience working with genomic data (e.g., VCFs, annotations, variant databases) and clinical data models (FHIR, EHRs, claims, phenotypic data).
• Demonstrated ability to take 0-to-1 products from concept to launch, particularly applications that visualize, interpret, or act on complex datasets.
• Strong analytical thinking, with comfort making trade-offs between scientific accuracy, technical feasibility, and user value.
• Strong analytical, communication, and stakeholder management skills paired with excellent execution and attention to detail.
• Deep empathy for end users—providers, enterprise customers, patients, and caregivers— and a commitment to making their experience simpler, faster, and more empowering.
• Familiarity with agile methodologies, digital transformation, human-centered design, and modern product discovery/delivery practices.
• A sense of ownership, humility, and mission-driven motivation to improve lives through better healthcare.
• Bachelor's degree required; advanced degree (MBA, MPH, MS) or clinical training is a plus

 

 

Pay Transparency, Budgeted Range$153,053—$191,317 USD

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Science - Minded, Patient - Focused. 

At GeneDx, we create, follow, and are informed by cutting-edge science. With over 20 years of expertise in diagnosing rare disorders and diseases, and pi