Associate Principal Graph Data Scientist

Python Software Foundation; Macclesfield; On-site; GBP 70,000 - 95,000; Full time

Job summary

A leading pharmaceutical company seeks an Associate Principal Graph Data Scientist to lead innovative projects in drug development. Ideal candidates will have a strong background in data science, advanced coding skills, and experience in graph machine learning. You will play a vital role in transforming scientific discoveries into life-changing medicines.

Qualifications

• Experience in data science focused on graph machine learning.
• Hands-on experience with graph databases.
• Significant industrial experience with applied machine learning.

Responsibilities

• Lead projects involving chemical reaction modelling and synthesis pathway optimization.
• Contribute to drug development through graph-based machine learning techniques.
• Work on transforming molecules into innovative medical treatments.

Skills

Python

R

Graph Machine Learning

Deep Learning

NLP

Education

Advanced degree in computer science, data science, artificial intelligence, machine learning or related fields

Tools

PyTorch

TensorFlow

DGL

Neo4j Enterprise

Job description

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Associate Principal Graph Data Scientist, Macclesfield

Client: Python Software Foundation

Location: Macclesfield, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Reference: e90f2626593e

Job Views: 13

Posted: 22.06.2025

Expiry Date: 06.08.2025

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.