About the team

PredictiveAI and Data teamis responsible forproviding AI and Bioinformatics solutions to the scientists across the spectrum of drug development and discovery in AstraZeneca (both pre-clinical and clinical stages). The primary aim is to find ways to accelerate the drug development process byleveragingexisting company data in combination with the mostcutting-edgeAI approaches in day-to-day scientific work across the company.

Introduction to role

In this role you will leadthenext‑generation predictive safety modelling at scale, applyingchemoinformatics, bioinformatics and AI/ML to deliver decision-shaping safety insights and cross-functional scientific leadership.Provide scientific leadership for predictive safety modelling, integrating chemical and biological data (e.g., Safety Omics, Cell Painting, NAMs) to inform risk assessment and progression decisions. This is a fullyhands-on,computational role with cross-functional influence.

Accountabilities

• Develop,optimiseand deploy predictive safety models usingchemoinformatics,bioinformaticsand ML/DL.

• Create reproducible workflows, data QCproceduresand model validation frameworks.

• Integrate multimodal data: chemical descriptors, omics,imagingand NAM datasets.

• Serve asscientificlead for project teams and influence program strategy.

• Drive innovation andidentifystrategic modelling opportunities across R&D.

• Lead collaborations with academia,consortiaand technology partners.

• Mentor junior scientists and contribute to capability building.

• Communicate complex modelling concepts to diverse scientific and governance audiences.

Essential Skills/Experience

• PhD inChemoinformatics, Bioinformatics, ComputationalToxicologyor relatedfield.

• StrongAI/ML experience (PyTorch, TensorFlow, scikit-learn).

• Advanced Python or R programming skills.

• Familiarity with GitHub, CI/CD pipeline, and best DevOps and MLOps practices

• Experience with multimodal biological + chemical datasets.

• Proven leadership in delivering impactful modelling work.

• Excellent communication and stakeholder engagement skills.

• Acts as discipline leader and shapes scientific strategy.

• Solvescomplex problems using scientific judgement.

• Builds strong cross-functional relationships and networks.

• Coaches andmentorsothers, enhancing team capability.

Desirable Skills/Experience

• Experience with Safety Omics, CellPaintingor imaging data.

• Background in toxicology,pharmacologyor ADME.

• Experience with cloud computing or workflow automation.

• Track recordof publications in top AI conferences or journals in pharmaceutical research (e.g.,NeurIPS, ICML, Nature Machine Intelligence, Nature Communications, NEJM AI, etc.)

• Experience supervising scientists or managing collaborations.