Job Description
We are looking for Associate Principal AI Data Scientists eager to utilize their expertise in agentic AI and multi-agent systems 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. You'll play a pivotal role in shaping our AI strategy and driving the co-development of sophisticated HITL multi-agent systems.
Please apply here-
Restrictions
1. No telecommuting
2. No Agencies Please
Requirements
3. Advanced degree in computer science, data science, artificial intelligence, machine learning or related fields.
4. Excellent coding skills in languages such as Python, R.
5. Hands-on industrial experience designing multi-agent patterns, digital twins and experience with agentic AI design patterns, reinforcement learning.
6. Extensive industrial experience with AI and ML frameworks like TensorFlow, PyTorch,
7. Hands-on experience with GenAI orchestration frameworks such as LangGraph, CrewAI.
8. Hands-on experience with reinforcement learning libraries such as OpenAI Gym, Ray RLlib, or Stable Baselines.
9. Hands-on industrial experience with applied machine learning domains such as deep learning, NLP, GenAI.
About the Company
Pharmaceutical Technology and Development (PT&D) is the organization that turns brilliant science into actual medicines that help millions of people at AstraZeneca. 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 AstraZeneca’s commercial drug substances and products to ensure we successfully supply medicines to patients.