2 days ago
Responsibilities
- Act as the R&D domain expert and solution architect for Aily App modules.
- Translate research, portfolio governance, and clinical development routines into product requirements and AI decision logic.
- Define AI outcomes, R&D decision-quality standards, data requirements, data collection, and AI fine-tuning needs.
- Partner with Product, ML, and Engineering teams on feasibility, operational readiness, and roadmap development.
- Advise senior R&D, portfolio, clinical operations, and innovation executives.
- Lead client deployments, data readiness, workshops, executive sessions, and user enablement.
- Drive adoption from entry-point use cases to enterprise-wide R&D integration and own time to first active user and time to routine.
- Represent client and R&D user needs in product and roadmap discussions and communicate AI trade-offs in business language.
Requirements
- Bachelor’s, Master’s, PhD, or MBA degree in Life Sciences, Engineering, Business, or a related field.
- 5+/7+ years of experience in R&D strategy, pharmaceutical consulting, clinical operations, portfolio management, or innovation leadership roles.
- Strong understanding of R&D decision-making in large enterprises, including portfolio governance and clinical development.
- Exposure to R&D analytics, performance management, or digital transformation initiatives.
- Fluency in data and AI concepts, including data requirements and model behavior, gained through collaboration with product and data science teams.
- Background in technology consulting, solution architecture, or product-facing roles is strongly recommended.
- Experience with AI-powered, analytics, or data-intensive R&D products and enterprise SaaS environments is strongly recommended.
- Experience mentoring, leading, or scaling small teams or domain practices is strongly recommended.
- Experience with global R&D organizations, multi-therapeutic portfolios, and Fortune 500 or large enterprise clients is strongly recommended.
- Strong communication skills with senior procurement and executive stakeholders and the ability to operate autonomously in complex, multi-stakeholder environments.
Benefits
- Hybrid work arrangement with 2–3 days per week in the Madrid, Barcelona, or Munich office.
- Competitive compensation with performance-based rewards.
- Continuous learning, freedom to experiment, and an open feedback culture.
- Team off-sites, global events, and participation in an international high-performing team.
Categories
Solutions Engineering
About Aily Labs
Aily Labs builds a B2B SaaS decision intelligence app for enterprises, combining company data with machine learning and LLMs to deliver real-time, actionable recommendations across finance, supply chain, R&D, and commercial teams. Founded in 2020 and headquartered in New York, it sells subscriptions to its mobile-first platform and integrations. The company operates globally with hubs including Munich, Barcelona, Madrid, and Cluj.