Job Description
As an Associate Principal Graph Data Scientist, you'll leverage your expertise to lead groundbreaking projects that revolutionize our drug development processes. Working within the PT&D department, you will be instrumental in transforming molecules into innovative medical treatments. PT&D is at the forefront of developing breakthrough synthetic routes, drug formulations and delivery technologies to ensure our products meet the highest standards of efficacy, safety, and quality.
In this role, you will lead projects involving chemical reaction modelling, synthesis pathway optimization, chemical property prediction, and scientific knowledge discovery using graph-based machine learning techniques. Your contributions will be vital in shaping our approach to drug development and advancing our mission to deliver life-changing medicines to patients.
Restrictions
No telecommutingNo Agencies PleaseRequirements
Advanced degree in computer science, data science, artificial intelligence, machine learning or related fields.
Excellent coding skills in languages such as Python, R.
Significant industrial experience in data science with a focus on graph machine learning and experience with ML frameworks like PyTorch, TensorFlow, or DGL.
Hands-on industrial experience with extracting insight from graph databases such as Neo4j Enterprise.
Significant hands-on industrial experience with applied machine learning domains such as deep learning, NLP, GenAI.
Experience developing data science models and partnering with MLOps teams to productionise models
About the Company
Pharmaceutical Technology and Development (PT&D) is the organization at AstraZeneca 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 AstraZeneca’s commercial drug substances and products to ensure we successfully supply medicines to patients.
