Claude Science: One Workbench, Not a Dozen Tabs

Anthropic's answer to fragmented research tools: one workbench for analysis, compute, and reproducible results.

Four decades in crop protection, biotechnology, and bioinformatics have taught me one unglamorous truth: research is rarely slowed down by hard questions. It is slowed down by fragmentation. A day’s work means logging into PubMed for one thing, opening a Jupyter notebook for another, switching to R for a plot, then SSH-ing into a cluster to submit a job and waiting to see if it succeeded. Each tool is fine on its own. Stitched together, they cost hours that should have gone to science.

Anthropic’s new Claude Science - released in beta on June 30, 2026 - is built squarely around that problem. It is not a chatbot that talks about biology. It is a desktop workbench that runs your analyses, queries the databases behind them, and keeps a full, checkable record of how every result was produced. Let’s go through what it does, how to install it, and how researchers are actually using it.

What It Is

Claude Science is a desktop application, available in beta for macOS and Linux, that pairs Claude with a real analysis environment on your own computer. You describe a task in plain language - “cluster these single-cell samples and annotate the marker genes” - and Claude writes and runs Python, R, or shell code inside a sandbox, reads whichever folders you grant it, pulls data from more than 60 scientific databases through built-in connectors, and saves the results as versioned artifacts with a complete provenance record. A background reviewer agent independently checks Claude’s claims against what actually ran, flagging anything that doesn’t hold up.

Your files stay on your machine. Code runs in a sandbox that is deny-by-default on the network; you approve each new folder, host, or remote job before Claude touches it. Anthropic is direct about its limits: the reviewer reduces errors, it doesn’t eliminate them, and Claude Science is explicitly a research tool, not intended for clinical or diagnostic use.

Key Features

• Reproducible artifacts - every figure ships with its code, execution log, and environment.

• Native renderers - proteins, alignments, genomic tracks, chemical structures, no extra viewers.

• The reviewer - flags unsupported claims, bad citations, mismatched DOIs.

• Scales compute - persistent kernels locally; SSH to your HPC/SLURM cluster or Modal for GPUs on demand.

• Domain-ready connectors - Ensembl, UniProt, PDB, AlphaFold, PubChem, ClinVar, and more, on by default.

• Skills - AlphaFold2, ESMFold2, ProteinMPNN, Evo 2, scGPT, and others; you can add your own.

Installation

macOS: download installer from claude.com/product/claude-science, double-click.

Linux:

curl -fsSL https://claude.ai/install-claude-science.sh | bash

claude-science serve

Windows: no native build yet - run the Linux binary under WSL 2 (Ubuntu 24.04+).

Requires Pro, Max, Team, or Enterprise. Sign in with your Claude account - no API key needed.

Workflows

Pre-configured for single-cell RNA-seq, phylogenetic/evolutionary analysis, protein structure work, and cheminformatics. Open a project, point Claude at a folder, approve its permission requests, and results land as artifacts in the Files panel. For heavier runs, connect your lab’s HPC cluster or Modal account under Settings > Compute, and Claude drafts, submits, and retrieves the job.

In beta use: Manifold Bio for drug-target nomination, the Allen Institute for a 20-skill literature-review pipeline, and UCSF for germline variant studies - including catching a virus contaminant in RNA-seq data that had stumped the team for a year.

Why It Matters Here

For crop protection and plant bioinformatics work, the same fragmentation applies - just with different databases. A single environment that traces every figure back to its code is exactly the reproducibility standard grant reviewers and journal editors expect.

Anthropic is also running an AI for Science grants program - up to $30,000 in credits, applications open through July 15, 2026.

Getting Started Today

Claude Science is in beta on Pro, Max, Team, and Enterprise plans. Documentation covering installation, connectors, and admin setup lives at claude.com/docs/claude-science. Download it, sign in with your existing Claude account, and open the bundled Example project to get a feel for how permission cards and artifacts work before pointing it at your own data.

The most interesting thing about the tool, in my early impression, isn’t any single feature - it’s that provenance is not an afterthought bolted onto the output. It’s structural. That is exactly the standard research has always needed and rarely gotten from software built for speed alone.