Director, AI & Machine Learning
Director, AI & Machine Learning
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Job Description
Director AI & Machine Learning
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 Then Evinova a new health tech business part of the AstraZeneca Group might be for you! The Humancentered AI team at Evinova aims 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 dedicated individuals to develop ideas into impactful product capabilities that make a difference to patients.
Accountabilities
Evinova delivers marketleading digital health solutions that are sciencebased evidenceled and human experiencedriven. 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 we have the opportunity to combine deep scientific expertise with 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 genAI projects and develop innovative crossproduct AI capabilities. The role is a technical expert driving handson 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 domain experts and partners.
Typical Responsibilities
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.
Mentor and develop the technical capabilities of the AI team fostering a culture of innovation and continuous learning.
Lead a portfolio of highimpact AI projects. Drive technical and projectlevel architecture decisions guiding multifunctional teams through stages of the AI lifecycle.
Collaborate in a multidisciplinary environment to align AI initiatives with business objectives and drive digital transformation.
Represent the companys AI expertise at conferences publications and industry events.
Essential Skills/Experience
Ph.D. or equivalent experience in a relevant field (such as mathematics computer science data science).
6 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 language model behavior 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 multiagent systems reinforcement learning) and their applications in healthcare.
Excellent verbal and written communication skills with experience presenting to executive leadership and partners.
Demonstrated ability to lead and inspire multifunctional teams.
Desirable Skills/Experience
Demonstrated technical leadership experience including successful delivery of largescale AI projects.
Experience designing and implementing novel AI architectures or algorithms in realworld products.
Experience with lowlevel languages used for implementing highperformance ML code (C/C Rust CUDA etc.).
Contributions to opensource AI projects or development of proprietary AI frameworks.
Expertise in areas such as fewshot learning metalearning 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 lifechanging medicines. Inperson working gives us the platform we need to connect work at pace and challenge perceptions. Thats why we work on average a minimum of three days per week from the office. But that doesnt mean were not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
AstraZeneca is where you can connect across the whole business to power each function to better influence patient outcomes and improve their lives. Here you will play an increasingly crucial role in driving exciting transformation on our journey to becoming a digital and dataled enterprise. Work alongside leading experts using pioneering techniques to create novel solutions that have a largescale impact on patients lives.
Ready to make a difference Apply now!
Date Posted
02May2025Closing Date
30May2025Our 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.Required Experience:
Director
Employment Type
Full-Time
