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 AI solutions for drug discovery
Domain
Biotechnology / Life Sciences
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, Cross-functional collaboration with scientists
Technologies
Python, LangGraph, LangChain, AutoGen, CrewAI, Semantic Kernel, Vector databases, Knowledge graphs, AWS Bedrock, SageMaker, Azure AI
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 scientific relevance; Partner with scientific domain leads to translate research needs into technical solutions.
Seniority
Senior, hands-on IC
