Claude Science

Figures, tables, and notebooks include the exact code, environment, and conversation that produced them, so they can be reproduced, edited, or defended months later.

Inspect proteins, alignments, genomic tracks, chemical structures, and PDFs in their native form, with no extra installation required.

A background reviewer flags incorrect citations, untraceable numbers, and figures that don’t match their underlying code.

Annotate a figure to request edits or ask a question. The agent reads the code that produced it and edits directly.

Write up results alongside the analysis that produced them, with rendered Markdown and LaTeX previews.

Claude manages the environments each analysis needs, whether on your laptop, a Linux box, or an HPC login node.

Writes batch scripts, then submits and manages jobs over SSH on your own machine or HPC cluster, or through your Modal account.

Variables, dataframes, and loaded models stay in memory across the whole analysis, so iteration is fast.

Genomics, single-cell, proteomics, structural biology, cheminformatics, and more. Reads literature and can query 60+ scientific databases, so you pull what you need without learning each one.

Save any pipeline as a reusable skill, or connect to your lab’s preferred tool with a connector, and every future session inherits it automatically.

Includes fully sourced indication dossiers available today, and a growing set of skills that build the case behind every program.

Single-cell RNA-seq analysis

Cluster and annotate millions of cells across tissues, surface marker genes, and trace every figure back to the code that made it.

Phylogenetic and evolutionary analysis

Align orthologs, infer maximum-likelihood trees, and map functional residues onto the phylogeny in a single reproducible session.

Protein structure and language model work

Pull predicted structures, layer on domains and clinical variants, and explore the model interactively in 3D.

Cheminformatics and molecular design

Search bioactivity data, compute properties and similarities, and draw or refine structures in a live 2D sketcher.

“With Claude Science I can go from raw data to a publication-quality figure in a single session — running the analysis, generating exploratory plots, and refining them all within a single project. The code and the conversation behind each figure are welded to it, making every version fully reproducible so I can iterate, revert, and fork as much as needed.”

Mike Nichols, Computational Biologist, Manifold Bio

“Claude Science is enabling analyses that simply wouldn’t have been feasible for me as a non-computational biologist. Honestly, it’s really transformative. Its ability to run these analyses, fluidly navigate the existing websites, and consider the science carefully is quite impressive… I’ve found myself thinking of questions I’ve had for years and rushing to Claude Science to start a project.”

Iain Cheeseman, Professor of Biology, Whitehead Institute and Department of Biology, MIT

“Claude Science is, without exaggeration, the most impressive AI-integrated scientific computing environment I have encountered.”

Prasad Shirvalkar, Associate Professor of Neurosurgery and Anesthesiology, UCSF

“Claude Science immediately found a laboratory virus contaminant in our bulk RNA-seq data. We spun our wheels on this for the better part of a year, and it came out as one of the first key findings.”

Stephen Francis, Principal Investigator, UCSF

“New agentic fact-checking capabilities in Claude Science have helped our team build confidence in the biomedical outputs. This makes Claude particularly useful for our triage and medical review work.”

Elliott Sharp, Director of Pipeline Strategy, Every Cure

“Claude Science has become a central project-focused workflow for my research. I have handled complex cloning tasks to sequencing analysis all within Claude Science.”

Zach Stevenson, Postdoc, Shendure Lab

“Xaira is building AI-native capabilities across the full arc of drug discovery and development, from predictive models to physical AI systems that learn from biology at scale, powered by agentic workflows designed to create the next generation of medicines. Claude Code and Claude Science are accelerating that work, compressing the path from hypothesis to validation and advancing our therapeutic pipeline, enabling our scientists to focus on the discoveries that matter most and bring innovative medicines to patients faster.”

Xaira

“Claude Science helps me turn biological questions into first-pass literature reviews and genomics analyses that are well cited, hypothesis-generating, and ready for team critique.”

Trygve Bakken, Associate Investigator, Allen Institute

“LatchBio provides agent-native data infrastructure to store, process, and visualize large molecular datasets from their favorite interfaces. Connecting LatchBio to Claude Science via MCP allows researchers to leverage verified bioinformatics tools deployed in collaboration with assay developers like Vizgen, TakaraBio and AtlasXOmics to complete agent workflows with high scientific accuracy.”

Kenny Workman, Co-founder & CTO, LatchBio

“Helix® is building the largest linked clinico-genomic dataset in the world - currently over 500,000 records and on a trajectory to multiple millions. By making deep genetic and phenotypic data available to Claude Science through an MCP server, we’re letting researchers discover our data inside a single, AI-native environment. Many of these researchers use Claude as their go to platform for discovery and this brings the full depth of our data to where the science actually gets done.”

James Lu, MD, PhD. Chief Executive Officer & Co-founder, Helix

“Claude Science is accelerating the way we design experiments and identify new treatments. It’s dramatically speeding up the time it takes to go from genetic signal to potential therapy.”

Professor Joseph Powell, Garvan Institute