Associate Principal Scientist, Generative AI
Core
Forward-deployed scientist implementing generative AI solutions (LLMs, Foundation Models, Agentic AI) to accelerate drug development and discovery processes at AstraZeneca.
Role type
Associate Principal Scientist, Generative AI (hands-on IC)
Builds
Production-ready generative AI workflows integrating bioinformatics and machine learning for transcriptomics, proteomics, and cell painting data.
Domain
Pharmaceutical / Life Sciences / Generative AI
Deliverable
production ML models
Required skills
Python, TensorFlow, PyTorch, Deep Learning, NLP, Computer Vision, Reinforcement Learning, Prompt Engineering, RAG, LLM Fine-tuning, Agentic AI workflows, MLOps, Kubernetes, AWS, CI/CD
Preferred skills
Life sciences/pharma domain knowledge, ADMET/DMPK modeling, LangChain, AutoGen, LlamaIndex, Foundation models for transcriptomics (Geneformer, scGPT)
Technologies
Python, TensorFlow, PyTorch, Kubernetes, AWS, LangChain, AutoGen, LlamaIndex, ResNet, UNet, DINO, CLIP, Stable Diffusion
Responsibilities
Configure and implement generative AI solutions to demonstrate value in accelerating scientific processes; Design and deploy ML models for large-scale analysis of clinical data; Build agentic AI workflows to integrate analysis steps across bioinformatic and ML pipelines; Calculate ROI and impact for AI projects; Ensure production-first infrastructure for scaling research; Collaborate with scientists to build platforms underpinning research.
Seniority
Associate Principal, hands-on IC
