R&D Business Impact Lead

About the Role Join Aily Labs as an R&D Business Impact Lead. You will act as the domain expert and solution architect for Aily App R&D modules, embedding the product into core R&D routines across research, portfolio governance, clinical development, and pipeline strategy. You own the Aily.r&d client journey from first integration to enterprise-wide adoption, ensuring the product is deployed, trusted, and embedded into daily R&D decision-making to deliver measurable performance impact.

What You'll Do

• 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.
• Externally 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.
• R&D Solution Architecture: translate research, portfolio governance, and clinical development 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 R&D operational readiness; define and own data requirements, data collection, and AI fine-tuning needs; influence the product roadmap through client impact and adoption insights.
• R&D Authority in the Room: act as the trusted R&D domain expert for clients and internal Product and AI teams; be the trusted advisor to Chief R&D Officers, Heads of R&D, portfolio leaders, clinical operations heads, and innovation executives; represent R&D user needs in product and roadmap discussions; communicate AI and data topics, assumptions, and trade-offs in clear business language.
• Deployment, Adoption & Time-to-Value: drive rollouts from entry-point use cases to enterprise-wide adoption; own time to first active user and time to routine across R&D deployments; upskill and evangelize R&D users through workshops, executive sessions, and engagement campaigns; ensure AI becomes embedded into daily R&D governance, portfolio, and clinical decision-making cadences.

What We're Looking For

• Must Have: Bachelor, Master, PhD, or MBA in Life Sciences, Engineering, Business, or related field; strong understanding of R&D decision-making in large enterprises; 5+/7+ years in R&D strategy, pharmaceutical consulting, clinical operations, portfolio management, or innovation leadership; exposure to R&D analytics, performance management, or digital transformation; tech-savvy with fluency in data and AI concepts; experience collaborating with product and data science teams.
• Strongly recommended: background in tech consulting, solution architecture, or product-facing roles; experience with AI-powered analytics or data-intensive R&D products; experience with enterprise SaaS; experience mentoring or scaling small teams; experience across global R&D organizations or multi-therapeutic portfolios; Fortune 500 or large enterprise client experience; extreme ownership mindset; strong communication with senior procurement and executive stakeholders; ability to operate autonomously in complex, multi-stakeholder environments.

Nice to Have

• Additional preferred qualifications: cross-functional collaboration across global teams, experience in manufacturing or life sciences domains, and demonstrated track record delivering measurable time-to-value.

Compensation & Benefits

• Competitive compensation with performance-based rewards; hybrid work arrangement; open feedback culture; continuous learning; freedom to experiment; memorable team off-sites and global events.