Product Lead, Data Solutions
Location
United States
Posted
67 days ago
Salary
$160K - $190K / year
Bachelor Degree8 yrs expEnglish
Job Description
• Lead GeneDx Infinity’s Data Solutions initiatives-owning the full lifecycle from product strategy to execution, and ensuring our data assets, including RWD and RWE, meet evolving customer and business needs.
• Drive the development and integration of real-world data and real-world evidence into GeneDx’s data products, expanding their value for research, clinical, and commercial applications.
• Transform customer and partner feedback into actionable strategies that drive continuous improvement in data quality, usability, and value.
• Perform in-depth product and data analysis to inform both immediate priorities and the long-term roadmap for data content, modeling, and standardization.
• Manage clear and proactive communication with internal/external stakeholders regarding product vision, progress, and delivery timelines.
• Develop and maintain a comprehensive roadmap for GeneDx Infinity’s data assets, clearly articulating the business and scientific value of our clinical, molecular, real-world data, and RWE resources.
• Identify and address data quality requirements, championing programs that ensure GeneDx’s data assets are trusted, high-quality, and ready for both internal and external use.
Job Requirements
- 8+ years of product management experience, including 5+ years building data/software products, ideally in healthcare or the life sciences.
- Experience working with genomic data (e.g., VCFs, annotations, variant databases) and clinical data models (FHIR, EHRs, claims, phenotypic data).
- Proven track record of developing and commercializing data assets or platforms for external use.
- Experience with real world data, HEOR, healthcare informatics, data modeling, or AI-driven data enrichment.
- Demonstrated ability to take data products from concept to launch, especially data assets that enable users to visualize, interpret and derive insight from complex clinical, molecular and real-world dataset.
- 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.
- Familiarity with data privacy, compliance, and contracting for external data assets.
- A sense of ownership, humility, and mission-driven motivation to improve lives through better healthcare.
- Bachelor's degree required; advanced degree (MBA, MPH, MS, PhD) or clinical training is a plus
Benefits
- Paid Time Off (PTO)
- Health, Dental, Vision and Life insurance
- 401k Retirement Savings Plan
- Employee Discounts
- Voluntary benefits
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