R&D AI Strategy & Impact Lead

Personio

New York (NY)

On-site

USD 180,000 - 220,000

Full time

14 days+
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Job summary

Aily Labs, a fast-growing applied AI scale-up, seeks an Sr / Principal Business Impact Lead for R&D Pharma to embed Aily App into Fortune 500 R&D routines, driving adoption and measurable performance impact. You will own the journey from initial integration to enterprise-wide deployment, working with cross-functional teams and senior stakeholders in a dynamic environment.

The role focuses on translating research and governance into product requirements, guiding AI outcomes, and accelerating

Qualifications

  • Bachelor/Master/PhD or MBA in Life Sciences, Engineering, Business or related field.
  • 5+ years in R&D strategy, pharma consulting, or related leadership roles.
  • Fluency in data and AI concepts; collaboration with product and data science teams.

Responsibilities

  • Translate R&D routines into product requirements and AI decision logic.
  • Define AI outcomes and R&D decision quality standards.
  • Co-shape scalable product capabilities across research, portfolio, and clinical use cases.
  • Partner with Product, ML, and Engineering on feasibility and deployment readiness.
  • Define data requirements and AI fine-tuning needs to accelerate time to value.
  • Influence the product roadmap through client impact and adoption insights.

Skills

R&D strategy
AI concepts
Executive stakeholder communication
Solution architecture
Data requirements
Cross-functional collaboration

Education

Bachelor/Master/PhD or MBA in Life Sciences, Engineering, Business

Tools

None

Job description

Aily Labs, a fast-growing applied AI scale-up, seeks an Sr / Principal Business Impact Lead for R&D Pharma to embed Aily App into Fortune 500 R&D routines, driving adoption and measurable performance impact. You will own the journey from initial integration to enterprise-wide deployment, working with cross-functional teams and senior stakeholders in a dynamic environment.

The role focuses on translating research and governance into product requirements, guiding AI outcomes, and accelerating

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