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Position Responsibilities:
- Own strategy and delivery for AI-extracted real-world evidence (RWE) products and expert-curated RWE datasets.
- Lead customer discovery, market research, and competitive analysis to shape roadmap and differentiation.
- Partner with Marketing and Commercial on go-to-market plans, messaging, and sales enablement.
Portfolio and Strategy:
- Build and maintain an integrated roadmap that balances innovation, commercial potential, strategic alignment, and scientific rigor.
- Translate emerging AI capabilities into trusted, commercially viable pharma offerings.
- Develop packaging and tiering for different pharma use cases (discovery, translational, clinical, medical affairs).
Product Operations:
- Establish governance and documentation for AI-driven data products (provenance, assumptions, limitations, review cycles).
- Support customer diligence, audits, and technical deep dives with Scientific and Commercial teams.
- Define and track KPIs (revenue, adoption, delivery) and use them to drive prioritization.
Genomenon
Genomenon is an AI-driven biomedical intelligence company on a mission to save and improve lives by making biomedical information actionable. They turn vast, complex biomedical data — spanning genomics, clinical evidence, and scientific literature — into trusted intelligence that helps clinicians diagnose patients, enables researchers to make new discoveries, and supports life sciences organizations in bringing better therapies to market faster.