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About the Role
Evinova, a new health-tech business within AstraZeneca, aims to revolutionize drug development by using advanced algorithms and GenAI to boost clinical trial success, cut development time, and reduce costs. As an Associate Principal AI & ML Engineer, you will prototype and build systems that integrate multi-source data to improve clinical trial design and increase success probability.
Responsibilities
- Prototype and build systems that integrate multi-source data (historical signals, external context, real-world data) into production systems.
- Improve the process of designing clinical trials and increase their probability of success.
- Translate complex technical work into clear narratives for both technical and non-technical stakeholders.
- Share knowledge with peers and contribute to engineering and data science standards and best practices.
Requirements
- Ph.D. or equivalent professional experience in a quantitative field (Mathematics, Computer Science, Machine Learning, Statistics, or similar).
- Previous industry experience building applied ML/AI systems that have shipped as part of a product and driven measurable business impact.
- Deep experience across classical ML, deep learning, and NLP.
- Hands-on work with generative AI, including prompt engineering, context engineering, and multiagent systems.
- Experience working with managed endpoints (OpenAI, Anthropic, AWS Bedrock) and open-weight models (Hugging Face ecosystem).
- Knowledge of agentic design patterns (planning, memory, tool use/function calling, RAG) with practical experience in evaluation and guardrails appropriate for regulated environments.
- Strong Python development skills with production sensibilities (testing, observability, documentation).
- Experience with containers, APIs, and async services (Docker, FastAPI).
- Experience with CI/CD pipelines (GitHub Actions).
- Awareness of architectural patterns in deploying applied ML/AI systems in the cloud (AWS).
- Ability to translate complex technical work into clear narratives for both technical and non-technical stakeholders.
- Experience sharing knowledge with peers and contributing to engineering and data science standards and best practices.
- Domain knowledge - familiarity with drug development, clinical trial design, or real-world data (EHR, claims, prescriptions).
- Experience building secure, compliant RAG pipelines with provenance tracking, including web automation, parsing, and document processing.
- Hands-on experience with multi-agent orchestration tools (e.g., Google ADK, LangGraph, CrewAI, or equivalents).
- Effective use of agentic coding assistants (Copilot, Cursor) to accelerate delivery.
- Open source or community contributions (published packages, conference talks, or internal framework development).
- Comfort with ambiguity, rapid iteration, and wearing multiple hats in a startup-pace environment.
Skills
- Machine Learning
- Artificial Intelligence
- Natural Language Processing (NLP)
- Generative AI
- Prompt Engineering
- Context Engineering
- Multiagent Systems
- Python Development
- Docker
- FastAPI
- GitHub Actions
- AWS
- RAG pipelines
- Web Automation
- Document Processing
- Agent frameworks
- AI-augmented development
Location
- St Pancras London
Work Type
- Hybrid (3 days per week / 60% overall)
Experience Level
- Associate Principal
Education Level
- Ph.D. or equivalent professional experience
Salary/Compensations
- Competitive
Benefits
- Excellent Benefits
About the Company
- Evinova draws on AstraZeneca’s deep experience developing novel therapeutics, informed by insights from thousands of patients and clinical researchers.
- We aim to 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.
- We are building solutions that work across the sector, simplify workloads, and benefit patients broadly.
- 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.
- We are building a new kind of health tech business to reset expectations of what a bio-pharmaceutical company can be.
- We are opening new ways to work, pioneering cutting-edge methods, and bringing unexpected teams together.
- AstraZeneca is a global, science-led, patient-focused biopharmaceutical company focused on discovering, developing and commercialising prescription medicines for some of the world’s most serious diseases.
- We are dedicated to being a Great Place to Work, empowering employees to push boundaries, challenge convention, and unleash their entrepreneurial spirit.
- We embrace differences and take bold actions to drive change needed to meet global healthcare and sustainability challenges.
- We foster an inclusive culture where diverse thinking generates new and valuable opportunities, with a commitment to lifelong learning, growth, and development.
- Our Inclusion & Diversity (I&D) mission is to create an inclusive and equitable environment where people belong, using the power of our diversity to push the boundaries of science to deliver life-changing medicines to patients.
- Inclusion and diversity are fundamental to our success, as innovation requires breakthrough ideas that only come from a diverse workforce empowered to challenge conventional thinking.
- We are curious about science and the advancement of knowledge, find creative ways to approach new challenges, and are driven to make the right choices and be accountable for our actions.
- We focus on people, aiming for colleagues to wake up excited about their day.
- We promise to help colleagues realize the full breadth of their potential, doing work that has the potential to change lives and improve countless others.
- We shape a culture that unites and inspires us every day.
Equal Opportunity
- Our mission is to build an inclusive and equitable environment.
- We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process.
- We welcome and consider applications from all qualified candidates, regardless of characteristics.
- We offer reasonable adjustments/accommodations to help all candidates to perform at their best.
- If you have a need for any adjustments/accommodations, please complete the section in the application form.