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 Senior Principal AI Consultant 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.

SKILLS AND CAPABILITIES NEEDED 

• EXPERIENCE - 5+ years designing novel algorithms and applied AI/ML solutions that drove measurable business impact.
• CONSULTING - Experience working in a consultancy company, with a focus on Data/AI initiatives, and experience in client engament.
• 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 in high-stake context.
• COMMUNICATION - Excellent verbal and written communication skills, with experience presenting technical concepts to non-technical stakeholders with clarity.

Nice to Have: 

• 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 unified approaches to how we all develop and deploy digital technologies, better serving our teams, physicians, and ultimately patients.  Evinova represents a unique opportunity to deliver meaningful outcomes with digital and AI to serve the wider healthcare community and create new standards for the sector.  Join us on our journey of building a new kind of health tech business to reset expectations of what a biopharmaceutical company can be. This means we’re opening new ways to work, pioneering cutting-edge methods, and bringing unexpected teams together. Interested? Come and join our journey. 

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

Date Posted

Closing Date

AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.