If you believe theory, computation, and data science hold the key to the next great breakthroughs in biology, let’s talk.

We're looking for a visionary leader to help drive this effort. As Director of Studio D3, you’ll shape the future of data-driven discovery at the Allen Institute, guiding a team at the cutting edge of computation and biology. 🧪

That’s where Studio D3 comes in. Studio D3 brings together world-class theoreticians, computational biologists, and engineers to turn data into discovery. From decoding cellular organization to building #AI-driven models of biological function, the work we do transforms our understanding of life.

Here at the Allen Institute, our teams get to work with some of the largest biological datasets ever collected. But data alone isn’t enough. We need bold theoretical models, innovative analytical frameworks, and scalable computational methods to extract the principles that govern life.

Instead of undermining established therapies, we should be investing in understanding the root causes of these conditions and developing new ways to prevent and treat them. 🧪

Given that nearly 3 billion people worldwide live with brain diseases—ranging from Alzheimer’s and Parkinson’s to ADHD and depression—our priority should be expanding access to effective treatments, not restricting them. 🧪

Decades of research show SSRIs are safe and non-addictive when used as prescribed, yet stigmatizing them could discourage people from seeking help. 🧪

The story of this climate data resource should serve as a cautionary tale: we need to act as a community to ensure vital datasets and analytics platforms are safe from political shifts. We should start planning for the self-sustaining, resilient infrastructure needed to protect scientific work

This is your chance to shape the future of AI-driven discovery. If you have an idea — big or small — that could push the boundaries of what’s possible, we want to hear it.

Submit your ideas and be part of the conversation. Let’s build the future together.

Using smaller, open-source models like Llama-3.1-8B, Aviary achieves expert-level performance at 100x lower inference costs compared to frontier LLMs. A major leap for accessible, scalable AI in science.