11 дней назад
Senior Product Manager, Data Products (Genomics)
128 800 - 193 200$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Product Manager, Data Products (Genomics): Building and commercializing life sciences data and analytics products based on highly accurate sequencing data with an accent on product strategy, customer discovery, data governance, and commercial access models. Focus on defining data-use rights, pricing, partnerships, and scalable product requirements across scientific, technical, legal, and commercial stakeholders.
Location: Menlo Park, California, United States; onsite Monday–Thursday with work from home on Friday
Salary: $128,800–$193,200 per year
Company
develops highly accurate sequencing technology and life sciences data and analytics products for research and development customers.
What you will do
- Define the vision, positioning, target customers, strategy, roadmap, milestones, and success metrics for emerging life sciences data products.
- Lead customer discovery, demonstrations, pilots, feedback sessions, and analysis of scientific goals, workflows, buying criteria, and data-use needs.
- Translate customer and business needs into product requirements, target product profiles, launch criteria, and experiences for discovering, accessing, analyzing, and using scientific data.
- Partner with sequencing, laboratory operations, bioinformatics, data, cloud, software, legal, privacy, security, commercial, and scientific teams to deliver scalable products.
- Define data access, permissions, privacy, sharing, export, retention, derivative-use rights, monitoring, compliance, pricing, and packaging models.
- Evaluate data partners, guide product-related partnerships, support commercialization, and communicate priorities, risks, decisions, and commercial implications to executives.
Requirements
- Seven or more years of product management or related leadership experience, including complex data, software, or platform products for enterprise customers.
- Experience in genomics, biopharma, healthcare data, bioinformatics, diagnostics, or another technically complex life sciences field.
- Familiarity with cloud data platforms, analytical environments, data governance, privacy, security, and data-use controls.
- Experience with value propositions, pricing and packaging, business cases, forecasts, product economics, strategic partnerships, enterprise sales, data agreements, or licensing.
- Bachelor’s degree in life sciences, engineering, computer science, or a related field, or equivalent experience.
- Current authorization to work in the United States without present or future sponsorship is required.
Culture & Benefits
- Cross-functional collaboration across scientific, technical, operational, legal, and commercial disciplines.
- Hybrid work arrangement with onsite attendance Monday–Thursday and work from home on Friday for non-field-based employees.
- Occasional work at locations may be required.
- Reasonable accommodations are available for qualified individuals with disabilities.
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