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Support the COO by tracking cross-functional projects, maintaining timelines and dashboards, coordinating meetings and vendor/facilities logistics, assisting recruiting and onboarding, planning events, and building automation and lightweight tools to improve operations. Use AI and no-code tools to streamline workflows and take on ad hoc initiatives as priorities shift.

Manage research data lifecycle for scientific programs, ensure FAIR/open science standards, build data infrastructure, train partners, maintain federal partnerships, and coordinate data policy and sensitive-release decisions.

Lead Astera's events and communications: design and run events end-to-end, build scalable playbooks and vendor relationships, manage website/blog/socials and external communications, steward voice and production calendar, hire and manage external contractors, and support general operations across a growing research institute.

DiffUSE seeks individuals interested in interdisciplinary roles involving computational biology, machine learning, and open scientific tooling. Responsibilities include data processing, ML research, infrastructure engineering, and community building.

The Machine Learning Researcher will develop new architectures for data-efficient model induction, focusing on optimizing generalization performance and runtime inference in networks, while contributing to a performance-driven code base.

The Staff Software Engineer will architect high-performance infrastructure for AI models, design RL environments, optimize code, and resolve technical challenges to enhance research efficiency.

The role involves developing bi-directional architectures for hierarchical perception in AGI, designing experiments, and collaborating across disciplines.

The Principal Software Engineer will define architecture for high-performance infrastructure, optimize RL environments, and turn prototypes into scalable systems, while resolving technical challenges.

The Senior Software Engineer will architect systems for training models, optimize RL environments, write production-quality code, and resolve technical bottlenecks for research.

The Head of Bio AI will architect Radial's AI infrastructure, lead program development, build a technical team, and engage with scientific collaborators. They will prototype systems and promote a culture of technical rigor in the life science domain.