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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 role involves providing DMPK support for therapeutic programs, overseeing ADME and PK studies, and collaborating with various teams to optimize drug properties and evaluate efficacy.

As a Scientist in In Vitro Pharmacology, you will develop and execute assays, analyze data, and collaborate on drug discovery projects, emphasizing rejuvenation biology.

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.

The Manager will oversee Genomics Hub operations, manage resources and teams, ensure workflow efficiency, and lead technology development and staff training.

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