Associate Principal AI Scientist

Are you a driven Data Scientist with a robust foundation in traditional data science methods and a passion for Agentic AI and human-in-the-loop (HITL) multi-agent systems If so an exciting opportunity awaits you at AstraZeneca!

We are looking for Associate Principal AI Data Scientists eager to utilize their expertise in these advanced technologies to revolutionize our drug development the Pharmaceutical Technology and Development (PT&D) department you will be a key player in transforming molecules into groundbreaking medical treatments. PT&D leads the charge in developing cutting-edge synthetic routes drug formulations and delivery technologies ensuring our products are effective safe and of the highest quality.

Your role involves contributing data science expertise into cross functional global pharmaceutical development projects in support of transforming the way we deliver medicines to patients. Youll play a pivotal role in shaping our AI strategy and driving the co-development of sophisticated HITL multi-agent systems.

We are hiring two candidates for this position and the roles will be based at our dynamic site in Durham (USA).

Work Modality: Hybrid (3 days office and 2 remote)

Accountabilities:

• Drive innovation in agentic AI multi-agent systems and digital twins exploring new methodologies and applications.
• Design implement and optimize algorithms for autonomous decision-making coordination and policy learning among agents and digital twins using techniques like Markov Decision Processes (MDPs) Partially Observable MDPs (POMDPs) and multi-agent reinforcement learning (MARL).
• Evaluate agent performance in the context of decision making collaboration competition uncertainty.
• Collaborate with cross-functional teams ensuring knowledge transfer to IT engineering teams for IT solution builds and deployment.
• Keep pace with industry advancements by reviewing academic papers and attending conferences. Publish findings in peer-reviewed journals and represent the company at scientific forums.
• Communicate technical concepts and results to technical and non-technical audiences.

Essential skills/Experience:

• Min Bachelors degree in computer science data science artificial intelligence machine learning or related fields.
• At least 3 years of experience in Deep Learning and ML
• Excellent coding skills in languages such as Python R.
• Hands-on industrial experience designing multi-agent patterns digital twins and experience with agentic AI design patterns reinforcement learning.
• Extensive industrial experience with AI and ML frameworks like TensorFlow PyTorch
• Hands-on experience with GenAI orchestration frameworks such as LangGraph CrewAI
• Hands-on experience with reinforcement learning libraries such as OpenAI Gym Ray RLlib or Stable Baselines.
• Hands-on industrial experience with applied machine learning domains such as deep learning NLP GenAI.

Desirable skills/experience:

• Contributions to open-source projects. If you meet these criteria please highlight merged GitHub PRs in your application.
• Strong publication record in the field of AI.
• Experience designing multi-agent systems in the pharmaceutical sector.
• Experience delivering machine learning projects with applications in pharmaceutical development chemical engineering or chemistry.
• Experience with one or more of the following applied machine learning domains such as transfer learning federated learning few/zero shot learning meta learning explainable AI.

When we put unexpected teams in the same room we unleash bold thinking with the power to inspire life-changing -person 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 a place where change is embraced and new solutions are trialed with patients and business in mind. Here technology is a key lever for delivering medicines quickly affordably and sustainably. Our diverse workforce is united by curiosity sharing learnings to scale fast. Be part of a digitally-enabled environment that impacts all parts of the businessfrom robotic process automation to machine learning for quality batcheswhile contributing to society and the planet.

Ready to make a difference Apply now to join our team!

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Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and furtherance of that mission we welcome and consider applications from all qualified candidates regardless of their protected characteristics. If you have a disability or special need that requires accommodation please complete the corresponding section in the application form.