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Claude for Life Science Teams

Chase the science that was out of reach

Claude works through problems alongside your team with full citations and audit trails, from your first hypothesis to the final submission.

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Meet Claude Science, now available in public beta

Claude works through your research like a skilled scientist, running the analysis and tracing every step. Spend less time stitching pipelines together, and more time on the science.

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“AI is the single most powerful opportunity BMS has to accelerate our mission for patients. Claude gives us the agentic capabilities, pace of innovation, and security to unlock decades of siloed knowledge for every employee – and to operate fundamentally different as a company in the next decade of biopharma.”

Greg Meyers, EVP and Chief Digital & Technology Officer

“At Genentech, Claude is helping us reshape day-to-day scientific research and lay the foundation for the autonomous labs of the future. By bringing Anthropic’s frontier reasoning models into our lab workflows, we’re building the infrastructure for autonomous, closed-loop discovery—so our scientists can design, execute, and iterate better and faster than ever to deliver more breakthroughs for patients.”

Aviv Regev, EVP and Head of Genentech Research and Early Development

“In our business, speed matters because patients are waiting for new medicines. That urgency is why we’re using Claude to enhance productivity across our company. By connecting Claude to trusted resources like PubMed through MCP, we’re accelerating literature reviews that once took days, freeing our teams to focus on what matters most: advancing the science and technology that help bring life-transforming medicines to patients in need.”

Divya Pathak, SVP & Chief AI Officer

“The clinical trial of 2030 will be designed by AI, managed by intelligent agents, and continuously optimized in ways that are simply beyond human bandwidth at scale. We’re not waiting for that future — we’re building it now. This is possible partnership works because Evinova and Anthropic are aligned where it matters most: AI in clinical development must be safe, explainable, and accountable. Pairing safety-first frontier AI capability with deep industry transformation experience is what pharma has been waiting for — and what patients deserve.”

Sean Connolly, Vice President and Chief Product and Technology Officer

“Claude plays an important role in how AbbVie operates—powering our Intelligent Medical Insights to better serve healthcare professionals and anchoring the agentic AI ecosystem behind a rapidly growing set of use cases. With Claude Enterprise, we are now exploring ways to scale that foundation across all of AbbVie to accelerate our mission of delivering innovative medicines to patients around the world.”

Sarah Nam, VP of AI Strategy and Partnerships

"Cepheid, a Danaher company, is using Claude to accelerate how its assay development team drafts and refines regulatory documentation for diagnostics in development—benefiting more patients by moving faster than a traditional release cycle. For the current Ebola outbreak, we're relying on our Xpert Hemorrhagic Fever test which detects the Ebola Bundibugyo strain​. Partnerships like the one with Anthropic help Danaher and its operating companies accelerate ideas to impact."

JC Gutierrez-Ramos, Chief Scientist

"At AstraZeneca, AI is a defining force reshaping how we operate across R&D end-to-end. Through R&D powered by AI, we can derive deeper biological insights that help us push the boundaries of science to deliver life-changing medicines, including novel approaches for patient selection. Claude's commitment to mechanistic interpretability provides a safe, secure, and steerable model to empower our science-first approach."

Dr. Jorge Reis Filho, Chief of AI for Science Innovation, AstraZeneca R&D

"By reducing manual burden and enabling greater scale across our operations, our partnership with Anthropic will empower our teams to focus more time on high-value scientific and strategic work, with the goal of accelerating our path to patient impact."

Tahamtan Ahmadi, M.D., Ph.D, Executive Vice President and Chief Medical Officer, Genmab

"Veeva AI is industry-specific agentic AI that leverages Veeva's deep applications, data, domain expertise, and Anthropic's Claude. This unique combination allows us to bring the transformative promise of AI to life sciences at scale."

Andy Han, Senior Vice President, Veeva AI

“Opus 4.5 is an incredible model and a great choice for computational biology. The model is excellent at coding, reasoning about biology, and understanding scientific figures.”

Andrew White, CTO, Edison Scientific

"Commercial pharma teams are entering an era where real-time clinical intelligence and AI agents fundamentally change how therapies reach the right patients at the right time. Anthropic's models are unmatched in their reasoning capabilities and safety design. This collaboration accelerates our shared mission to ensure that clinical-grade agentic AI becomes a trusted, transformative force across global pharma."

Chris Mansi, MD, CEO and co-founder of Viz.ai

“Broad Institute scientists pursue the most ambitious questions in biology and medicine, and we create and share tools to help empower scientists everywhere. We’ve been working closely with Manifold on the next generation of the Terra.bio platform—Terra Powered by Manifold. Among the most exciting of these upgrades are AI agents built on Claude that enable scientists to carry out tasks at an entirely new scale and efficiency and explore scientific domains in previously impossible ways.”

Heather Jankins, Head of Data Science Platform

“AI in R&D only works through an ecosystem. Anthropic is doing this right, bringing together the best technologies while putting access, governance, and interoperability first. Benchling is uniquely positioned to contribute. For more than a decade, scientists have trusted us as the source of truth for experimental data and to modernize their workflows. Now we're building AI that powers this next chapter of R&D.”

Ashu Singhal, Co-founder and President

“Claude, paired with internal knowledge libraries, has become integral to Sanofi’s AI-driven transformation and is used by the majority of Sanofians on a daily basis within our internal Concierge app. We are seeing significant efficiency gains across the value-chain by optimizing our processes, while our enterprise-wide deployment has enhanced how our teams work. This collaboration with Anthropic augments human expertise to deliver life-changing medicines faster and more effectively to patients worldwide.”

Emmanuel Frenehard, Chief Digital Officer

“We’ve consistently been one of the first movers when it comes to document and content automation in pharma development. Our work with Anthropic and Claude has set a new standard—we’re not just automating tasks, we’re transforming how medicines get from discovery to the patients who need them.”

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Louise Lind Skov, Director Content Digitalisation

“Claude Code has become a powerful accelerator for us at Schrödinger. For the projects where it fits best, Claude Code allows us to turn ideas into working code in minutes instead of hours, enabling us to move up to 10x faster in some cases. As we continue to work with Claude, we are excited to see how we can further transform the way we build and customize our software.”

Pat Lorton, Executive Vice President, Chief Technology Officer, and Chief Operating Officer

“At Manifold, our mission is to power faster, leaner life sciences. Building with Claude has enabled us to develop AI agents that translate questions in the semantic space of scientists to execution in the technical space of specialized datasets and tools. Together, we’re transforming how life sciences R&D will happen in the years ahead.”

Sourav Dey, PhD, Co-founder and Chief AI Officer

“At PwC, we believe responsible AI isn’t just a technology opportunity—it’s a trust imperative. We’re proud to pair our deep sector insight with Claude’s agentic intelligence to reimagine how clinical, regulatory, and commercial teams operate. Together, we’re not just streamlining processes—we’re elevating quality, accelerating discovery, and building systems where confidence scales alongside innovation.”

Matt Wood, US and Global Commercial Technology and Innovation Officer

“When we set out to create an AI agent that could automate bioinformatics analyses, we focused on three key factors to decide what model provider to use: top-ranking at software development, aligned with life sciences, and support for startups. We evaluated half a dozen platforms, and it became clear that Claude was the standout leader. We’re excited to continue this collaboration and bring cutting-edge AI Agents into the world of biotech research.”

Alfredo Andere, Co-founder and CEO

“Claude has been an invaluable progress multiplier for Axiom as we build AI to predict drug toxicity. We’ve used billions of tokens in Claude Code, and use it to write many of our PRs. More recently, Claude agents with MCP servers have become core tools for our scientific work. With the right MCPs, Claude agents can directly query databases and storage services to interpret, transform, and test correlations in data, and help us identify what data and features are most useful for predicting clinical drug toxicity.”

Alex Beatson, Co-founder

“At EvolutionaryScale, we’re building next-generation AI systems to model the living world. Anthropic’s frontier models accelerate our ability to reason about complex biological data and translate it into scientific insight, helping us push the boundaries of what’s possible in life science discovery.”

Sal Candido, Co-founder, Chief Technology Officer

“Claude has become the connective tissue across Sanofi. Our internal assistant, Concierge, is powered by Claude and used every day by roughly 60,000 employees — spanning every business unit from R&D to HR to engineering. For our highest-value work, Claude’s models have consistently proven to be the best, and adoption has grown faster than anything we’ve ever deployed.”

Emmanuel Frenehard, Chief Digital Officer
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Built for breakthroughs

AI you can verify

Claude shows the lowest hallucination rates and is built with biosafety guardrails. When you connect to PubMed, bioRxiv, and research databases, claims are traced to their source, so teams can verify before they act.

Built for scientific complexity

Analyze genomic data, synthesize hundreds of papers, and design experiments. With Opus 4.8, Claude shows notable improvements in biology benchmarks including BioPipelineBench, single-cell RNA analysis, and structural biology.

Made for R&D

Claude Science is designed for scientific discovery across research, publication, and analysis. Connect to scientific databases for accurate work.

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Case study

Novo Nordisk accelerates clinical documentation and drug development with Claude

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Case study

Bluenote powers intelligent agents for life sciences with Claude

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Case study

FutureHouse powers scientific discovery agents with Claude

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Case study

Biomni accelerates biomedical discoveries by 100x with Claude

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Advancing life sciences with Claude Opus 4.8

Opus 4.8 brings broader, more reliable reasoning to chemistry, structural biology, bioinformatics pipelines, and lab protocol design: steady, measurable progress on the work researchers do every day.

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How life sciences teams use Claude

Bioinformatics analysis

Process genomic data with validated bioinformatics pipelines through Claude Science. Claude connects to 10x Genomics and Benchling, then delivers annotated, reproducible reports you can share with cross-functional teams without needing to provide complex code.

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Research synthesis

Survey hundreds of papers in hours instead of weeks. Claude synthesizes findings across PubMed, bioRxiv, and proprietary databases, identifies contradictions, and generates testable hypotheses with verifiable citations tailored to your research questions.

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Phase 2 Clinical Trial Protocol

ABX-7291 for Treatment of Parkinson's Disease | DRAFT v0.1

Study Synopsis

Protocol Title: A Phase 2, Randomized, Double-Blind, Placebo-Controlled Study to Evaluate the Efficacy and Safety of ABX-7291 in Patients with Early-Stage Parkinson's Disease

Sponsor: [Sponsor Name]

Phase: Phase 2

Indication: Early-stage Parkinson's Disease (Hoehn & Yahr Stage 1-2)

Study Duration: 24 weeks treatment + 4 weeks follow-up

Objectives and Endpoints

Primary Objective

Evaluate the efficacy of ABX-7291 compared to placebo in reducing motor symptoms in patients with early-stage Parkinson's disease.

Primary Endpoint

Change from baseline in MDS-UPDRS Part III (Motor Examination) score at Week 24.

Secondary Endpoints
  • Change from baseline in MDS-UPDRS Total Score at Week 24
  • Proportion of patients achieving ≥30% improvement in MDS-UPDRS Part III
  • Change in PDQ-39 (Quality of Life) score at Week 24
  • Safety and tolerability (AEs, laboratory parameters, vital signs)

Study Design

This is a Phase 2, randomized, double-blind, placebo-controlled, parallel-group study. Eligible patients will be randomized 1:1:1 to receive ABX-7291 low dose, ABX-7291 high dose, or placebo for 24 weeks.

Sample Size and Rationale

Total Enrollment: 120 patients (40 per arm)

Statistical Power: 80% power at α=0.05 (two-sided)

Expected Effect Size: 5-point difference in MDS-UPDRS Part III (SD=8)

Dropout Assumption: 15% (based on comparable Phase 2 PD trials)

Rationale: Sample size derived from analysis of 12 comparable Phase 2 trials on ClinicalTrials.gov with similar indications and endpoints.

Regulatory References

  • 21 CFR 312 (Investigational New Drug Application)
  • FDA Guidance: Parkinson's Disease: Developing Drugs for Treatment (2023)
  • ICH E6(R2): Good Clinical Practice
  • ICH E9: Statistical Principles for Clinical Trials

Generated using Clinical Protocol Generation skill

Sources: ClinicalTrials.gov (12 comparable studies), FDA guidance documents

Ready for review with biostatisticians and regulatory affairs

Clinical trial protocols

Draft clinical protocols with built-in regulatory cross-referencing. Claude researches FDA guidances, analyzes comparable trials on ClinicalTrials.gov, and generates structured protocol drafts ready for review with biostatisticians and regulatory affairs.

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Clinical Safety Summary

Module 2.7.4 | IND-2024-0892

Study Overview

Drug: ABX-4721 (anti-inflammatory biologic)

Phase: Phase 1

Subjects: 48 healthy volunteers

Duration: 12-week duration

Adverse Event Summary

Total subjects with AEs: 23 (47.9%)

Serious adverse events: 2 (4.2%)

Discontinuations due to AEs: 1 (2.1%)

Deaths: 0

Safety Signals for Phase 2 Monitoring

⚠ Hepatic

Elevated ALT (>3x ULN): 3 subjects (6.3%)

All resolved without intervention within 14 days

→ Recommend: LFT monitoring at weeks 2, 4, 8

⚠ Injection site reactions

Mild erythema: 8 subjects (16.7%)

No treatment required

→ Recommend: Document severity grading in Phase 2

Regulatory References

  • 21 CFR 312.32 (IND Safety Reporting)
  • ICH E2A: Clinical Safety Data Management
  • FDA Guidance: Premarketing Risk Assessment

Generated from uploaded AE reports and lab data

All source documents linked for audit trail

Regulatory affairs

Compile structured submissions from clinical and preclinical data with automatic cross-referencing against FDA guidance. Claude flags gaps in your regulatory package before anything ships.

I'll modernize the pharmacokinetic module. Let me start by understanding the existing FORTRAN code.

Reading the source file...

* pk_compartment.f (847 lines, FORTRAN 77)

* Three-compartment model with IMSL numerical routines

* Last modified 1998

Mapping the dependencies...

* 14 IMSL calls (DIVPRK, LSARG, DGEAR)

* Common blocks for parameter sharing

* Hardcoded clearance constants in the rate equations

Translating the ODE solver to scipy.integrate.solve_ivp and replacing the IMSL routines with NumPy and SciPy equivalents...

Adding type hints, docstrings, and a PKParameters dataclass to replace the common blocks...

Generating pytest cases against the legacy outputs. Validating numerical parity within 1e-6 tolerance...

Modernization complete.

* 23 / 23 tests passing

* Numerical drift below 1e-7

* Reduced from 847 to 312 lines

Legacy code modernization

Build life sciences software faster with Claude Code. Claude helps engineers navigate legacy scientific codebases, write robust code for GxP-regulated environments, and catch compliance issues in PR reviews before they ship.

More products for life sciences

Claude Science works through your research like a skilled biologist, running analysis and tracing every step. Spend less time stitching pipelines together, and more time on science.

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Claude Code

Accelerate bioinformatics pipelines and validate scientific software under GxP requirements. Turn computational biology challenges into working code in minutes.

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Claude Cowork

Automate routine lab workflows and data processing tasks. Cowork handles repetitive work like data entry and file management so scientists can focus on discovery.

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Claude for Microsoft 365

Refine a clinical study in Word, update trial data in Excel, build research presentations in PowerPoint, and do team coordination in Outlook. Claude carries context across it all.

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Claude connects to your research ecosystem

Literature, lab notebooks, and analysis platforms, all working together in one place.

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Pro

For everyday productivity
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  • Life sciences connectors and skills
  • Access to file creation (docs, slides, spreadsheets, and PDFs)
  • Access to research
  • Access to Claude Code
  • Life sciences guides and docs

Max

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Everything in Pro, plus:
  • Choose 5x or 20x more usage than Pro*
  • Higher output limits for all tasks
  • Early access to advanced Claude features

Team

For collaboration across organizations
Get Team plan
  • Life sciences connectors and skills
  • Access to file creation (docs, slides, spreadsheets, and PDFs)
  • Single sign-on (SSO)
  • Central billing and administration
  • Includes Claude Code
  • Life sciences guides and docs

Enterprise

For businesses operating at scale
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Everything in Team, plus:
  • More usage*
  • HIPAA-ready infrastructure (added cost)
  • Enhanced context window
  • Compliance API for observability and monitoring
  • Single sign-on (SSO) and domain capture
  • Custom data retention controls

Usage limits apply. Prices shown don’t include applicable tax. Price and plans are subject to change at Anthropic's discretion.
The Team plan for research labs is now available for nonprofits and academic institutions.

Life sciences resources

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