AI Associate Principal
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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 building advanced algorithms and agentic AI solutions but also ensure that these impact companies. You will work on both internal development 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
- 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 GenAI, 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 pharmaceutical requirements to deliver meaningful digital transformation.
- 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.). 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.
- CONSULTING
- Experience working in a consultancy company. - PHARMA INDUSTRY KNOWLEDGE : Previous experience in Life Sciences is desirable, but not mandatory.