Role Barcelona onsite - 3 days at office / 2 days at home
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 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 Principal AI Engineer who combines strong coding expertise with curiosity and business acumen. In this role, you will not only build advanced algorithms and agentic AI but also ensure your technical work directly supports company targets, working on both internal initiatives and client/ consulting-style engagements. You will bring a value-driven mindset, using critical analysis to ensure outcomes align with business goals.
WHAT THE ROLE INVOLVES
AI DEVELOPMENT & ARCHITECTURE – You will build sophisticated GenAI, Machine Learning and Optimization solutions tailored to the life sciences, taking them from initial PoC through to full industrialization.
ENGINEERING & DEPLOYMENT - Deliver high-quality and production-ready code, supporting deployment on the cloud (AWS). You will support the development of robust data pipelines, focusing on flexibility to ensure smooth integration with various client data ecosystems.
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.
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 Pharmaceutical requirements to deliver meaningful digital transformation.
SKILLS AND CAPABILITIES NEEDED
EXPERIENCE- 5+ years designing novel algorithms and applied AI/ML solutions that drove measurable business impact.
GENERATIVE AI EXPERTISE- Experience building GenAI solutions for real-world use cases, with a solid grasp of agentic AI frameworks (LangChain, Google GenAI SDK, LlamaIndex, etc.).
MODERNTECH STACK- Expert knowledge of Python and standard data frameworks (pandas, scipy, etc.). Expertise in leveraging GenAI coding assistants (GitHub Copilot, Cursor, etc.) to accelerate development cycles.
ENGINEERING RIGOR- A proven track record of shipping production-level code using software engineering best practices.
COMMUNICATION- Excellent verbal and written communication skills, with experience presenting technical concepts to non-technical stakeholders with clarity.
Desirable Skills/Experience
INFRASTRUCTURE- Familiarity with AWS services, AWS CDK, Containerization, and CI/CD pipelines.
CONSULTING- Experience interacting with high-level business stakeholders or working in a consultancy environment.
PHARMA INDUSTRY KNOWLEDGE: Previous experience in Life Sciences is desirable, but not mandatory.