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Design and develop machine learning models for multimodal data integration, collaborating with scientists and engineers to create scalable solutions.

Contribute to developing machine learning models for multi-scale biology, focusing on design, deployment and optimization across teams and technologies.

The role involves leading analytical development and quality control across multiple modalities, building a high-performing team, and managing contract manufacturing organizations for therapeutic programs.

The Senior Scientist will lead drug discovery efforts through in vitro pharmacology, designing assays, analyzing data, and collaborating with cross-functional teams.

Design and build agentic AI workflows for biological and clinical data curation and analysis. Implement context engineering (RAG variants), prompt and agent architecture optimization, LLM tool-use integrations, and evaluation benchmarks. Collaborate with bioinformatics and clinical experts to translate domain problems into reliable, production-quality agentic systems.

The role involves developing cutting-edge AI/ML models for biology, leading research strategy, and mentoring. Requires expertise in machine learning methodologies and experience in biological data.