Startups · AI

Sr / Principal Business Impact Lead – R&D Pharma (AI Solution Architect)

AILY LABS · US (New York) · On-site

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About AILY LABS

From capital allocation to product launches, Aily Labs' Decision Intelligence powers the decisions that move enterprises forward. Book a demo. Backed by Insight.

About the role

Act as the R&D domain expert and solution architect for Aily App modules:

What they're looking for

  • Bachelor, Master, PhD, or MBA degree in Life Sciences, Engineering, Business, or a related field
  • Strong understanding of R&D decision-making in large enterprises, including portfolio governance and clinical development processes
  • 5+/7+ years of experience in R&D strategy, pharmaceutical consulting, clinical operations, portfolio management, or innovation leadership roles
  • Exposure to R&D analytics, performance management, or digital transformation initiatives
  • Tech-savvy profile with fluency in data and AI concepts, including data requirements and model behavior, gained through close collaboration with product and data science teams
More about this role

As an R&D Business Impact Lead, you act as the domain expert and solution architect for Aily App R&D modules. Your mission is to embed Aily App into core R&D routines across research, portfolio governance, clinical development, and pipeline strategy, enabling Fortune 500 companies to move faster from signal to scientific and portfolio action.

You own the Aily.r&d client journey from first integration to enterprise-wide adoption, ensuring the product is fully deployed, trusted, and embedded into daily R&D decision-making to deliver measurable performance impact.

Act as the R&D domain expert and solution architect for Aily App modules:

Translate R&D routines into product requirements and AI decision logic, refine model performance, and shape the product roadmap and future high-impact R&D use cases.

Drive client value realization by leading deployments, guiding R&D data readiness, validating AI through portfolio and clinical leadership feedback, upskilling R&D managers and executives, and accelerating time to value.

  • Translate research, portfolio governance, and clinical development routines into product requirements and AI decision logic
  • Define AI outcomes and R&D decision...

Read the full posting on AILY LABS's site ↗

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