Associate Director, AI & Machine Learning - Evinova
Associate Director, AI & Machine Learning - Evinova
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1 Vacancy
Job Description
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.
Evinova provides innovative digital health solutions based on science driven by evidence and passionate about human experience. 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 an Associate Director of Data Science specializing in applying data science machine learning and genAI methods to develop innovative AI capabilities underlying multiple products. The role will focus on the design of complex AI agents including quantitative experiments on prompting information retrieval tool use memory. Example projects may include constructing model benchmarks synthetic data generation model finetuning automatic prompt optimization programmatic prompt performance evaluation on a task automatic LLMdriven online evaluation systems. The role will interact with product design engineering MLops and domain experts and collaborators.
Examples of projects the team works on include genAI search services agentic document generation algorithmic insight generation optimization highfrequency and highdimensional clinical data modeling clinical trial prediction and much more!
Typical Responsibilities
- Spearhead the development of innovative AI solutions with a focus on creating novel agentic systems using LLMs.
- Ideate develop and compare the performance of different tools for agents (e.g. search memory context compression communication architectures for agents)
- Develop automated techniques for designing and evaluating agentic systems.
- Systematically discover and test prompt engineering standard processes for agents.
- Develop niche observability pipelines to assist with automated evaluation of models and prompts across the model/product 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
- Ph.D. in a relevant field (such as mathematics computer science data science).
- 4 years of industry experience in applied machine learning with a strong focus on deep learning NLP and generative AI.
- 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 systems and frameworks (e.g. agentic design patterns multiagent systems reinforcement learning).
- Excellent communication skills with the ability to articulate complex technical concepts to both technical and nontechnical audiences
Desirable
- Demonstrated technical leadership experience including successful delivery of largescale AI projects.
- Experience developing complex agentic systems using LLMs.
- 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 AI ethics responsible AI practices and navigating regulatory landscapes for AI deployment in the life science industry.
InOffice/Hybrid Statement:
When we put unexpected teams in the same room we ignite 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.
As AstraZeneca continues to put patients at the forefront of our mission we are excited for our move to Kendall Square/Cambridge in 2026. Find out more information here:Kendall Square Press Release
Why AstraZeneca
At AstraZeneca when we see an opportunity for change we seize it and make it happen because any opportunity no matter how small can be the start of something big. Delivering lifechanging medicines is about being entrepreneurial finding those moments and recognising their potential. Join us on our journey of building a new kind of organisation to reset expectations of what a biopharmaceutical company can be. This means were opening new ways to work pioneering innovative methods and bringing unexpected teams together. Interested Come and join our journey.
Date Posted
20May2025Closing Date
02Jun2025Our 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
