Business Lead, AI-native Target Identification & Validation (TIDVAL)

Scorpion Therapeutics; Boston (MA); Hybrid; USD 180,000 - 280,000; Full time

Job summary

Takeda is seeking a Business Lead for its AI-native Target Identification & Validation (TIDVAL) product family. The role defines and executes the strategic vision of AI-enabled target discovery tools in a hybrid Boston-based setting.

You will own the portfolio as a business owner, align product development with scientific and business goals, drive adoption, and collaborate across scientific, digital, and technology teams to translate AI, multi-omic, and genetic data into actionable target

Qualifications

• PhD in human genetics, computational biology, or related field.
• 8+ years in pharma/biotech R&D.
• Experience managing end-to-end platform or capability portfolios.

Responsibilities

• Own the portfolio as a business owner and drive adoption.
• Align product development with scientific and business goals.
• Set KPIs and collaborate with scientific, digital, and technology teams.
• Translate AI, multi-omic, and genetic data into target hypotheses.

Skills

AI/ML fluency

Cross-functional leadership

Target biology

Strategic planning

Data integration

Education

PhD in human genetics or computational biology

Job description

Role: Business Lead for Takeda's AI-native Target Identification & Validation (TIDVAL) product family, responsible for defining and executing the strategic vision of AI-enabled target discovery tools.

Responsibilities: own the portfolio as a business owner, align product development with scientific and business goals, drive adoption, set KPIs, and collaborate closely with scientific, digital, and technology teams to translate AI, multi-omic, and genetic data insights into target hypotheses.

Requirements: Ph.D. in human genetics, computational biology, or related field; 8+ years in pharma/biotech R&D; experience managing end-to-end platform or capability portfolios; strong target biology and validation expertise; technical fluency in AI/ML, computational data, and digital tools; proven leadership across discovery and digital teams.

HighValue: focus on AI-driven target discovery in early drug discovery phases, leveraging multi-omic, genomic, and clinical data, operating in a hybrid Boston-based setting. The role involves strategic planning, cross-functional leadership, and external partner management, with an emphasis on innovation, scientific rigor, and measurable impact.