Associate Principal AI Data Scientist â Pharmaceutical Development
Associate Principal AI Data Scientist â Pharmaceutical Development
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Job Description
Are you a driven Data Scientist with a robust foundation in traditional data science methods and a passion for NLP Agentic AI and human-in-the-loop (HITL) multi-agent systems If so an exciting opportunity awaits you at AstraZeneca!
Pharmaceutical Technology and Development (PT&D) is the organization that turns brilliant science into actual medicines that help millions of people. We work across the entire value chain designing and delivering active ingredients formulations and devices for new medicines and providing expert technical support to all AstraZenecas commercial drug substances and products to ensure we successfully supply medicines to patients.
We are looking for Associate Principal AI Data Scientists eager to utilize their expertise in these advanced technologies to revolutionise our drug development processes. In the 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 sites in Gothenburg (Sweden) or Macclesfield (UK).
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:
- Advanced degree in computer science data science artificial intelligence machine learning or related fields.
- 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 medicines. In-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! Welcome with your application no later than June 5th 2025.
Competitive salary and benefits package on offer.
Opening date: May 23rd 2025
Closing date: June 5th 2025
Date Posted
23-maj-2025Closing Date
05-juni-2025Our 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:
Staff IC
Employment Type
Full-Time
