Associate Principal Graph Data Scientist

Python Software Foundation; Macclesfield; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading data science organization in Macclesfield is seeking an Associate Principal Graph Data Scientist to lead innovative projects in drug development. The ideal candidate will have expertise in graph machine learning, significant coding skills in Python or R, and experience with ML frameworks like PyTorch or TensorFlow. This role offers a unique opportunity to shape drug development processes and contribute to delivering effective medical treatments.

Qualifications

• Significant industrial experience in data science focused on graph machine learning.
• Hands-on experience extracting insight from graph databases.
• Experience developing data science models and working with MLOps teams.

Responsibilities

• Lead projects involving chemical reaction modelling and synthesis pathway optimization.
• Transform molecules into innovative medical treatments using graph-based machine learning techniques.
• Shape drug development approaches to deliver effective medicines.

Skills

Python

R

Graph machine learning

ML frameworks (PyTorch, TensorFlow, DGL)

Deep learning

NLP

GenAI

Education

Advanced degree in computer science, data science, artificial intelligence, machine learning

Tools

Neo4j Enterprise

Job description

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Associate Principal Graph Data Scientist, Macclesfield

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Client:

Python Software Foundation

Location:

Macclesfield, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

e90f2626593e

Job Views:

22

Posted:

12.08.2025

Expiry Date:

26.09.2025

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Job Description:

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 telecommuting
• No Agencies Please

Requirements

• 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.