Business Lead, AI-native End Point Generation

Scorpion Therapeutics; Boston (MA); Hybrid; USD 180,000 - 260,000; Full time

Job summary

Takeda's AI-native Endpoint Generation product seeks a Business Lead to oversee the development of next-generation software that integrates AI, data platforms, and automation to enhance drug discovery workflows.

Responsibilities include defining the strategic vision, leading cross-functional teams on the product roadmap, and driving adoption among in vivo pharmacology and discovery teams at a hybrid Cambridge, MA site.

Qualifications

• Ph.D. in biomedical or pharmaceutical science with 10+ years in R&D.
• Proven product ownership and experience with discovery-stage data.
• Technical fluency in computational and AI/ML concepts; hands-on coding preferred.

Responsibilities

• Define and refine the strategic vision for AI-enabled data generation.
• Lead cross-functional teams on product roadmap and priorities.
• Prioritize initiatives based on scientific and business impact.
• Drive adoption among in vivo pharmacology and discovery teams.

Skills

AI/ML concepts

Product ownership

Education

Ph.D. in Biomedical or Pharmaceutical Science

Job description

Role: Business Lead for Takeda's AI-native Endpoint Generation product, overseeing the development of next-generation software that integrates AI, data platforms, and automation to enhance drug discovery workflows.

Responsibilities

define and refine strategic vision for AI-enabled experimental data generation, lead cross-functional teams on product roadmap, prioritize initiatives based on scientific and business impact, and drive adoption among in vivo pharmacology and discovery teams.

Requirements

Ph.D. in a biomedical or pharmaceutical science with 10+ years in R&D, proven product ownership, and experience in discovery-stage experimental data, especially in vivo pharmacology, DMPK, or safety sciences. Technical fluency in computational and AI/ML concepts is essential, with hands-on coding experience preferred.

High-value: focus on AI-driven, automated drug discovery platforms, with emphasis on externalized and in vivo data workflows, in a hybrid Cambridge, MA location. Stakeholder management and external partner oversight are key. The role involves collaborating with senior scientific and digital teams to translate scientific needs into impactful technology solutions, ensuring products are scientifically grounded, technically feasible, and widely adopted.