# Built with Claude: Life Sciences

- **When:** Jul 7 at 12:00 PM – Jul 14 at 12:00 AM (EDT)
- **Where:** Online
- **Hosts:** [Anthropic](https://cerebralvalley.ai/u/anthropicai), [Cerebral Valley](https://cerebralvalley.ai/u/cv)
- **Format:** Hackathon
- **Registration:** Closed (the event has ended) — https://cerebralvalley.ai/e/built-with-claude-life-sciences
- **Page:** https://cerebralvalley.ai/e/built-with-claude-life-sciences

Join us for **Built with Claude: Life Sciences**, a global virtual hackathon in partnership with **[Gladstone Institutes](https://gladstone.org/)**, a biomedical research organization in San Francisco focused on bold science and innovation. 

**Claude Science** is an AI workbench that brings literature, data, code, and compute into a single research environment**,** and we want researchers, clinicians, bioinformaticians, and biotech builders to explore what’s newly possible. Whether you’re advancing research or building the next life sciences platform, show us what you can build in one week with **Claude Science** and **Claude Code**.

**This hackathon has two tracks**. The **Research track** asks you to **build from the bench**: start from a biological question you've been thinking through and use **Claude Science** to answer it with something discrete – a finding, a trained model, an analysis others can reproduce. The **Build track** asks you to **build beyond the bench**: start from a user in the life sciences you can name – a scientist, a clinic, a biotech – and use **Claude Code** to create the tool they're missing, working software that outlasts the week.

For the **Research track**, we’ve partnered with various labs across Gladstone to highlight unique datasets for participants to investigate with Claude Science:

- Find new drug targets in this[ T cell Perturb-seq dataset](https://virtualcellmodels.cziscience.com/dataset/genome-scale-tcell-perturb-seq) from the labs of Alex Marson and his collaborator at Stanford University, Jonathan Pritchard.
- Train a model that reads DNA to predict regulatory activity, then ask what a single-base change does to it, like how[ Katie Pollard's lab uses massively parallel reporter assays](https://www.biorxiv.org/content/10.1101/2023.02.15.528663v2).
- Use one of[ Nevan Krogan's protein interaction networks](https://kroganlab.ucsf.edu/network-maps) to uncover new biology, identify which complex or pathway is doing the work, or predict a missing component.

We’ll select 500 participants across the two tracks and give each one a month of Claude Max 20x and $200 in API credits to build for one week. Compete to win $100k in Claude API and Usage credits.

Judges include representatives from Anthropic and our partner, **[Gladstone Institutes](https://gladstone.org/)**.

*Note: This event is fully virtual. Space is limited to 500 participants. Maximum team size is 2. All participants must submit an application for approval.*

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