Applied AI Architect, Beneficial Deployments (Life Sciences Community & Enablement)

Anthropic·San Francisco, CA | New York City, NYmid

In short

→Arquitecto de IA aplicada enfocada en científicos, usando Claude Science.
→Diseña talleres, demos y programas para que científicos adopten IA de vanguardia.
→Líder de comunidad científica y voz interna de los investigadores en Anthropic.

Fluent written and spoken English required.

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The questions they'll ask you

1. ¿Cómo diseñarías un taller de 2 horas para científicos que nunca usaron IA, mostrando el valor de Claude Science?

🔒 +7 more questions

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💵 USD · Remote · No visa

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What they ask for

✓Experiencia práctica en ciencia en laboratorios académicos, biotechs o farmacéuticas.
✓Conocimiento profundo de herramientas de IA para ciencia, especialmente Claude Science.
✓Habilidades comprobadas en entrenamientos, talleres o hackathons para equipos científicos.
✓Capacidad para construir demos y notebooks con APIs de LLMs (prototipos funcionales).
✓Comunicación clara por escrito y en voz para científicos.
✓Experiencia liderando programas desde idea hasta resultados concretos.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

Claude ScienceLLM APIsNotebooksDemosWorkshopsHackathonsTutorialsPlaybooksX (Twitter)LinkedIn

Who should you write to at Anthropic?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most. About the Role We're looking for an Applied AI Architect to join our Beneficial Deployments, Life Sciences team, focused on helping scientists everywhere get the most from Claude, especially Claude Science. You'll run enablements, workshops and hackathons, build demos that show what frontier models can do for the field, and grow a community of scientists building with Claude. You'll also scale scientific enablement inside Anthropic, so our Applied AI and customer teams can support scientists without you in the room. Responsibilities • Be the DRI for scientific enablement: decide what to run, build the materials, deliver them, and measure whether research teams reach daily use of Claude. • Lead our programs for activating scientists at scale, such as LSVP and Claude for Researchers: set the goals, design the program and run it. • Build demos, notebooks and tutorials that show scientists what frontier models can do in their own work, and be an active voice where scientists share tools online (X, LinkedIn, etc.). • Scale scientific enablement inside Anthropic: train our Applied AI and Customer Success teams, and build playbooks they can run without you. • Build and lead a scientist community around Claude, and be its ambassador (and support ambassador programs), from small meetups to large conferences. • Be the voice of scientists inside Anthropic: turn what you hear into concrete asks and see them through to launch, and partner with Marketing and Comms so campaigns and content reach the scientific community. You Might Be a Good Fit If You Have • Deep hands-on expertise with AI tools for science such as Claude Science: you know where they shine and where they break. • Real credibility as a scientist: hands-on experience doing science in academic labs, biotechs, pharma or research institutes, ideally as a user of the kind of tools you'll help scientists adopt. Experience building or running programs for scientific communities is a plus. • A track record of helping many scientific teams adopt a new tool through demos, trainings, workshops or hackathons. • Up to date on AI for science, such as agentic analysis and AI co-scientists, and able to explain it to working scientists. • Hands-on experience building with LLM APIs: you can prototype a working demo. You don't need to write production code. • Clear written and spoken communication: talks, tutorials and docs that scientists find useful. • A track record of taking programs or products from idea to results: you set the direction, did the work and were accountable for the outcome, often with no playbook. • Comfort operating in ambiguity: you bring clarity to fuzzy problems, wear multiple hats and do whatever it takes to further the mission.

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