Machine Learning Scientist Agentic data pipelines

Key Responsibilities Design, build, and maintain agentic systems for automated data acquisition from public and proprietary biomedical data sources Develop LLM-based pipelines for data cleaning, normalization, and formatting across diverse data modalities Implement automated quality-control workflows that detect anomalies, flag inconsistencies, and enforce data standards Requirements Master's or PhD in a computational STEM field, or equivalent industry experience Strong Python engineering skills, including experience building and maintaining production-quality software Hands-on experience with LLM APIs (e.g., Anthropic API) and agentic patterns such as tool use, orchestration, and multi-step reasoning