Associate Principal Scientist, AI & Computational Tools

Allscreens Nationwide Ltd; Cambridge; On-site; GBP 90,000 - 130,000; Full time

Job summary

AstraZeneca in Cambridge, UK, seeks an Associate Principal Scientist to join the Immune Cell Engagers Discovery group on a 1-year fixed-term contract. This role sits at the intersection of immuno-oncology and AI, shaping AI-first workflows across discovery.

You will lead design and deployment of AI-powered tools, guide data infrastructure, mentor colleagues, and collaborate with wet-lab and IT teams to deliver scalable, reproducible insights.

Qualifications

• PhD or equivalent experience in Software Eng., Computational Biology, ML or Data Science.
• Strong background in Python/R and large-scale data management.
• Proven ability to lead complex computational or AI initiatives in a scientific setting.

Responsibilities

• Lead the design, development, deployment and lifecycle management of AI-powered tools and workflows.
• Shape data infrastructure standards for discovery; ensure reproducible data for AI applications.
• Act as AI Architect; define best practices and guide technology choices across teams.
• Identify and deliver AI projects addressing scientific challenges with emphasis on adoption and governance.
• Mentor colleagues in AI-enabled approaches, reproducible data workflows and coding practices.
• Collaborate with Data Science, R&D IT and platform teams to deliver scalable solutions.

Skills

Python

R programming

AI & ML

Data engineering

Cross-functional leadership

Communication

Education

PhD in relevant discipline or equivalent

Tools

GitHub Copilot

Shiny

LIMS/ELN

Domino

QuartzBio

Job description

AstraZeneca in Cambridge, UK, seeks an Associate Principal Scientist to join the Immune Cell Engagers Discovery group on a 1-year fixed-term contract. This role sits at the intersection of immuno-oncology and AI, shaping AI-first workflows across discovery.

You will lead design and deployment of AI-powered tools, guide data infrastructure, mentor colleagues, and collaborate with wet-lab and IT teams to deliver scalable, reproducible insights.