Jobs at Altos Labs

The Senior Research Associate supports research in cellular rejuvenation by executing laboratory experiments, developing techniques, and training others while contributing results to multiple projects.

The role involves providing administrative, project management, and operational support across various teams, focusing on organization and collaboration for efficient site operation.

Join Altos Labs' talent community to be considered for future job opportunities as they post new positions regularly. We value diversity and scientific innovation.

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 role involves developing advanced generative AI/ML models for biological applications. Responsibilities include leading ML projects, innovating methodologies, and collaborating within a team to enhance scientific research in cell health.

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.

Join the Altos Labs Talent Community by submitting your resume for future job opportunities related to cell health and rejuvenation.

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.