AI Associate Principal - Evinova

AstraZeneca Spain - Barcelona Updated 24 August 2026
Pharma

Job description

It currently takes over 10 years and $1.3B to develop a drug. More than 70% of that investment goes into clinical trials, yet only ~10% of candidates make it from Phase I to approval. Evinova a new health-tech business is here to change the math. We use advanced algorithms and GenAI to aim high: boosting clinical trial success by 20% , cutting development time by 3 years , and halving study costs. We are looking for a highly skilled AI Associate Principal who combines strong business acumen with solid tech expertise . In this role, you will not only support build ing advanced algorithms and agentic AI solutions but also e nsure that these impact compan ies. You will work on both internal development initiatives and client / consulting -style engagements . You will bring a value-driven mindse t , using critical analysis to ensure outcomes align with business goals. WHAT THE ROLE INVOLVES BUSINESS ENGAGEMENT - You will present the progress of AI initiatives, gather feedback, and translate complex technical outcomes into clear business value for senior leadership and stakeholders. AI DEVELOPMENT – You will build sophisticated Gen AI, Machine Learning and Optimization solutions tailored to the life sciences . CROSS-FUNCTIONAL INNOVATION - Thrive in a dynamic ecosystem where AI, Product, Strategy, and UX intersect. You will act as a key translator, connecting cutting-edge AI capabilities with real-world p harmaceutical requirements to deliver meaningful digital transformation. SKILLS AND CAPABILITIES NEEDED EXPERIENCE - 5 + years design ing novel algorithms and applied AI /ML solutions that drove measurable business impact. GENERATIVE AI EXPERTISE - Experience building G enAI solutions for real-world use cases , with a solid grasp of agentic AI frameworks ( LangChain , Google GenAI SDK, LlamaIndex , etc.). Expertise in leveraging GenAI coding assistants (GitHub Copilot, Cursor, etc.) to accelerate development cycles. DATA SCIENCE TECH STACK - Expert knowledge of Python , standard packages (pandas, sklearn , etc.) and data cleaning/processing methodologies . STAKEHOLDER MANAGEMENT - Expertise in interacting and managing business stakeholders. COMMUNICATION - Excellent verbal and written communication skills , with experience presenting technical concepts to non-technical stakeholders with clarity . Nice to Have : CONSULTING - Experience working in a consultancy company . PHARMA INDUSTRY KNOWLEDGE : Previous experience in Life Sciences is desirable, but not mandatory. Why Evinova ? Evinova draws on AstraZeneca’s deep experience developing novel therapeutics, informed by insights from thousands of patients and clinical researchers. Together, we can accelerate the delivery of life-changing medicines, improve the design and delivery of clinical trials for better patient experiences and outcomes, and think more holistically about patient care before, during, and after treatment. We know that regulators, healthcare professionals, and care teams at clinical trial sites do not want a fragmented approach. They do not want a future where every pharmaceutical company provides its own, different digital solutions. They want solutions that work across the sector, simplify their workload, and benefit patients broadly. By bringing our solutions to the wider healthcare community, we can help build more u

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