Agentic AI Scientist
AstraZenecaJob Title
Agentic AI ScientistJob Description
We are looking for Agentic AI Scientists eager to utilize their expertise in these advanced technologies to revolutionize our drug development processes. In the Pharmaceutical Technology and Development (PT&D) department, you will be a key player in transforming molecules into groundbreaking medical treatments.
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.
We are hiring two candidates for this position and the roles will be based at our dynamic site in Durham (USA).
Restrictions
- No telecommuting
- No Agencies Please
Requirements
Essential skills/Experience:
- PhD 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.
About the Company
PT&D, AstraZeneca 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.
AstraZeneca is a place
Opens the company's application page
Listed via
Findwork
findwork.dev
Similar roles
Senior Data Analyst
Harnham - Data & Analytics Recruitment
Data Analyst
Harnham - Data & Analytics Recruitment
Service Charge Data Analyst
Robertson Bell
Data Analyst
R3vamp Limited
Design & Tech
Related reads from TCHNX
Why AI Design Tools Are Quietly Replacing Junior Designers and What Actually Comes Next
AI tools promise efficiency, but London studios are discovering an unexpected paradox: automation creates new bottlenecks requiring precisely the expertise being eliminated. We investigate what's actually happening to entry-level design work.
The Inference Economy: Why AI’s Biggest Cost Shift Is Happening After Training
A major shift in AI economics is reshaping the industry. As training frontier models becomes more expensive and inference becomes dramatically cheaper, companies are being forced to rethink how they build, deploy, price, and monetise intelligent systems.
The Emergence of Small Language Models: Why Efficiency Is Overtaking Scale
As the AI industry confronts computational costs and environmental concerns, a new generation of compact models is proving that bigger isn't always better. Small language models are reshaping enterprise AI deployment.