Sr Associate Data Scientist
Core
Design, build, and integrate agentic AI systems and scientific workflows to accelerate discovery in protein engineering, structure prediction, and disease biology.
Role type
Senior IC Machine Learning Engineer (Agentic AI & Scientific Systems)
Builds
Reusable AI capabilities, agentic workflows, and scientific decision-making tools for Amgen's R&D.
Domain
Biotechnology / Life Sciences / AI
Deliverable
production ML models
Required skills
Python, Large Language Models (LLMs), Agent frameworks (LangGraph, LangChain, AutoGen, CrewAI), Retrieval-Augmented Generation (RAG), Vector databases, API-driven architectures, Machine learning lifecycle, Distributed systems, Knowledge graphs
Preferred skills
Cloud AI platforms (AWS Bedrock, SageMaker, Azure AI), Graph-RAG, Biological/biomedical data integration, Mentorship
Technologies
LangGraph, LangChain, AutoGen, CrewAI, Semantic Kernel, Python, AWS Bedrock, SageMaker, Azure AI, Vector databases, Knowledge graphs
Responsibilities
Design and implement agent-based systems for complex scientific workflows; Integrate foundation models and scientific AI models into end-to-end workflows; Develop knowledge-driven AI systems connecting LLMs with enterprise data; Create reusable workflow patterns for data ingestion, retrieval, and model inference; Establish evaluation frameworks for AI accuracy, reliability, and hallucination rates.
Seniority
Senior, hands-on IC
