Director of Data Science & AI - Evinova

Introduction to role

Are you ready to be part of the future of healthcare? Can you think big, be bold, and harness the power of data and AI to tackle longstanding life sciences challenges? ThenEvinova, a new health tech separate business within the AstraZeneca Group, might be for you!

The Human-centeredAI team atEvinovaaims to transform the patient experience and clinical trial process by embedding data science and AI in digital solutions serving clinical trials. We are looking for talented individuals to develop ideas into impactful product capabilities that make a difference to patients.

Evinovadelivers market-leading digital health solutions that are science-based, evidence-led, and human experience-driven. Thoughtful risks and quick decisions come together to accelerate innovation across the life sciences sector. Be part of a diverse team that pushes the boundaries of science by digitally empowering a deeper understanding of the patients we help. Launch pioneering digital solutions that improve the patients’ experience and deliver better health outcomes. Together, wehave the opportunity tocombine deep scientificexpertisewith digital and artificial intelligence to serve the wider healthcare community and create new standards across the sector.

The team is looking for a Director of Data Science to lead machine learning and GenAIprojects, anddevelop innovative cross-product AI capabilities. The role is a technical expert driving hands-on development from prototyping to supporting production systems. The role will focus on the design of complex AI agents, communication architectures for agents, and developing automated techniques for designing and evaluating agentic systems. The role will interact with product, design, engineering,MLOps, and subject matter experts and stakeholders.

Examples of projects the team works on include GenAIsearch services, agentic document generation, algorithmic insight generation, optimization, high-frequency and high-dimensional clinical datamodeling, clinical trial prediction, and much more!

Accountabilities

• Lead the design, development, and deployment of advanced 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.

• Mentor and develop the technical capabilities of the AI team, fostering a culture of innovation and continuous learning.

• Lead a portfolio of high-impact AI projects. Drive technical and project-level architecture decisions, guiding cross-functional teams through stages of the AI lifecycle.

• Collaborate in a multidisciplinary environment to align AI initiatives with businessobjectivesand drive digital transformation.

• Represent the company's AIexpertiseat conferences, publications, and industry events.

Essential Skills/Experience

• Ph.D. in a relevant field (such as mathematics, computer science, data science) or equivalent experience.

• 6+ years of industry experience in applied machine learning, with a strong focus on deep learning, NLP, and generative AI.

• Proventrack recordof developing creative and novel AI solutions that have driven significant business impact.

• Extensive prior experience exploring and testing language modelbehavior, prompting and building products with language models.

• Expert knowledge of Python and advanced ML/LLM frameworks (e.g., TensorFlow,PyTorch,LangChain,LlamaIndex).

• Extensive experience with AWS services (e.g.,SageMaker, Bedrock, MSK, EKS, OpenSearch).

• Deep understanding of agentic AI concepts and frameworks (e.g., agentic design patterns, multi-agent systems, reinforcement learning) and their applications in healthcare.

• Excellent verbal and written communication skills with experience presenting to executive leadership and stakeholders.

• Demonstrated ability to lead and inspire cross-functional teams.

Desirable Skills/Experience

• 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.

• 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.

• Expertisein areas such as few-shot learning, meta-learning, explainable AI.

• Experience with regulatory environments in healthcare and life sciences.

• Experience with AI ethics, responsible AI practices in the life sciences industry.

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 challengeperceptions.That'swhy we work, on average, a minimum of three days per week from the office. But thatdoesn'tmeanwe'renot flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.