Senior Director, AI and Machine Learning– Evinova

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We are under a mission to halve the cost and cycle time of clinical trials, by using state of the art AI and Machine Learning.

If you are a solid coder with hands on experience of developing AI agentic solutions, good understanding of modern deep learning, strong AWS skills, and a voracious learner then you could be a fantastic fit for our team. Background in Biostatistics and Causal Inference will be a strong add on.

We are looking for a Senior Director of AI and Machine Learning to lead our AI and ML development. This role is a technical expert driving hands-on development from prototyping to production ready systems. The role will focus on solving complex clinical development challenge using AI and Machine Learning.

About The Role

• Lead the design, development, and deployment of sophisticated agentic AI applications tailored to life sciences/health tech challenges.
• Develop automated techniques for designing and evaluating agentic systems
• Ideate, develop, and evaluate different tools for agents (e.g., search, memory, context compression, communication architectures for agents).
• Design specialized agent/LLM observability pipelines for prototypes and production systems.
• Develop bespoke deep learning models, from model design, training, testing all the way to deployment.
• Using causal machine learning for decision making.
• Hire, mentor and develop an AI team, fostering a culture of innovation and continuous learning, led by example with best ML and software engineering practice.
• Lead a portfolio of high-impact AI projects.
• Drive technical and project-level architecture decisions, guiding multi-functional teams through stages of the AI lifecycle.
• Deliver production ready code.
• Collaborate in a multidisciplinary environment to align AI initiatives with business objectives and drive digital transformation
• Represent the company's AI expertise at conferences, publications, and industry events.

Required Skills/Experience

• Ph.D. or equivalent experience in a relevant field (such as mathematics, computer science, data science, etc).
• 10+ years of proven experience in applied machine learning, with a strong focus on deep learning, NLP, and generative AI
• Proven track record of developing creative and novel AI solutions that have driven significant business impact.
• Extensive prior experience exploring and testing large language model behaviour, prompting and building products with language models.
• Expert knowledge of Python and advanced ML/LLM frameworks (e.g., TensorFlow, PyTorch, LangChain, LlamaIndex, etc).
• Deep understanding of agentic AI concepts and frameworks (e.g., agentic design patterns, multi-agent systems, reinforcement learning) and their applications in healthcare.
• Previous experience of training (fine turn) large language models, hands on experience with DeepSpeed
• Extensive experience with AWS services (e.g., SageMaker, Bedrock, MSK, EKS, OpenSearch).
• Proven record of shipping production level code with best software engineering practice
• Experience with containerization technologies, CI/CD, front and backend of web applications
• Excellent verbal and written communication skills with experience presenting to executive leadership and partners.
• Demonstrated ability to lead and inspire multi-functional teams.
• Experience with TypeScript
• Experience with AWS CDK
• Demonstrated technical leadership experience, including successful delivery of large-scale AI projects.
• Experience designing and implementing novel AI architectures or algorithms in real-world products.

Desirable Skills/Experience

• Experience with low-level languages used for implementing high-performance ML code (C/C++, Rust, CUDA, etc.).
• Contributions to open-source AI projects or development of proprietary AI frameworks.
• Expertise in areas such as reinforcement learning, few-shot learning, meta-learning, Causal AI.
• Experience of Biostatistics

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.

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.