Claude Science
Claude Science is an agentic research environment for life sciences that runs analyses, manages compute, and captures full provenance. It renders domain artifacts natively, flags citation inconsistencies, and keeps Python and R kernels persistent for fast, reproducible iteration on macOS and Linux.
Overview
Start a project, attach data, and describe the task in plain language. Claude Science configures an environment, runs the analysis with persistent kernels, and renders figures in place. Every artifact carries its exact code, inputs, environment, and conversation for verifiable reuse.
Capabilities and workflow
Claude Science suits wet- and dry-lab scientists, computational biologists, bioinformaticians, structural biologists, and translational teams that need traceable results. It’s especially useful when projects cross disciplines—single-cell RNA‑seq, evolutionary analysis, protein modeling, or cheminformatics—because provenance, compute, and domain tooling stay unified without switching applications.
- Runs analyses end-to-end with persistent Python and R kernels across sessions.
- Traces every artifact to exact code, environment, inputs, and conversational context.
- Submits and manages jobs via SSH on local machines or Slurm clusters.
- Flags questionable citations, untraceable numbers, and mismatched figures with background review.
- Connects to 60+ scientific databases and domain tools with reusable skills.
What stands out
Use cases and audience
Getting started is straightforward: install the macOS or Linux desktop app, sign in with your Claude plan, and choose a domain template. Connect data sources and tools via built-in connectors, then configure compute targets—local kernels, SSH access to an HPC login node with Slurm, or a Modal account for distributed GPU jobs. The environment manager builds exact dependencies per analysis to ensure reproducibility. Team and Enterprise deployments can enable centralized administration, SSO/SCIM, and usage controls. Documentation covers installation, connector setup, and job orchestration.
One environment to run analyses, trace provenance, and publish artifacts reproducibly across domains.
Setup and deployment
Unlike general chat assistants, Claude Science is a full research workbench: it runs code, manages compute, renders domain artifacts, and captures provenance by default. The combination of persistent kernels, background review, native viewers, and connector-driven extensibility makes it a credible replacement for ad‑hoc scripts and scattered notebooks when rigor matters.
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Claude Science
Anthropic builds frontier Claude models and applications with a focus on safety, reliability, and enterprise readiness. Claude Science extends the platform with domain tooling for life sciences, combining agentic workflows, reproducibility features, and compute orchestration to help research teams move from hypothesis to publication with traceable rigor.
Claude Science is a purpose-built scientific computing app that turns Claude into a working lab companion. The environment runs pipelines, searches literature and domain databases, and traces every artifact—from code and environment to inputs and narrative—so results are auditable months later. Native renderers display proteins, alignments, genomic tracks, chemical structures, and PDFs without external setup. A background reviewer highlights untraceable numbers, mismatched figures, and suspect citations before results ship. Compute orchestration spans local machines and HPC: persistent Python and R kernels speed iteration; batch jobs submit over SSH to Slurm clusters or through a Modal account when GPUs are needed. The app ships preconfigured for genomics, single-cell, proteomics, structural biology, and cheminformatics, and can be extended via skills and connectors. For model-access use cases, Claude Science integrates with NVIDIA’s BioNeMo Agent Toolkit to reach domain libraries and models such as Evo 2, Boltz-2, and OpenFold3. Available for macOS and Linux.
claude.com/product/claude-science
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