Research Scientist, Life Sciences (Experimental Biology)

Anthropic·San Francisco, CAsenior

En corto

→Científico de investigación en biología experimental en un equipo fundador de vida artificial de Anthropic.
→Diseñas y ejecutas experimentos biológicos (molecular, bioquímicos, pantallas altamente paralelas) con enfoque en descubrimiento biológico acelerado por IA.
→Usas intensivamente Claude y agentes internos para planificar, ejecutar y analizar experimentos, y retroalimentas directamente a equipos de IA.

Proficiency in English is required for collaboration with global teams.

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

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¿Qué piden?

✓Doctorado en ciencia biológica (molecular, bioquímica, bioingeniería, biología computacional)
✓Historial comprobado de integrar conocimiento biológico con enfoques computacionales
✓Conocimiento básico de Python y prácticas de desarrollo de ML
✓Capacidad para diseñar experimentos con enfoque en datos de alta calidad para análisis
✓Experiencia en biología molecular, bioquímica o caracterización de proteínas/ácidos nucleicos
✓Capacidad para trabajar en un entorno interdisciplinario entre biología experimental e IA

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonML development practicesClaudeinternal agent frameworksmolecular biologybiochemistryprotein characterizationnucleic acid characterizationhigh-throughput functional scrassay development

¿A quién escribirle en Anthropic?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

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 the team Anthropic's Life Sciences team is building a world-class research group focused on making fundamental biological discoveries. The team combines cutting-edge AI with hands-on biological research, positioning Anthropic at the forefront of AI-accelerated scientific discovery. About the role We're seeking an exceptional Research Scientist to join the team. As a founding member of Life Sciences, you'll work in a high-impact group that operates at the intersection of computational and experimental biology. You'll help establish Anthropic as a leader in biology research while developing product intuition through direct engagement with the challenges and opportunities of laboratory science. Key responsibilities • Design, execute, and iterate on the experimental programs at the core of the team's research: molecular biology, biochemistry, protein and nucleic acid characterization, high-throughput functional screens, and the assay development that makes new questions answerable • Partner directly with computational biologists to design experiments that produce high-quality, analysis-ready data, and feed results back fast enough to immediately inform the next round of analysis • Generate and prioritize hypotheses by combining your experimental judgment with the literature, curated biological knowledge bases, and the team's computational predictions • Use Claude and our internal agent frameworks heavily in your own work — for experimental planning, protocol development, and data interpretation — and feed what you learn back to the model-improvement and product teams as evaluations, datasets, and concrete failure cases Minimum qualifications • Have a Ph.D. in a biological science (molecular biology, biochemistry, bioengineering, computational biology) or a related field • Have a track record of bridging biological domain knowledge with computational approaches to solve real scientific problems • Have basic proficiency in Python and are familiar with ML development practices Preferred qualifications <li class="font-claude-response

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