Frontier AI Biotech Research Scientist

Benchling, Inc.; San Francisco (CA); On-site; USD 140,000 - 220,000; Full time

Job summary

Benchling, Inc. is building an AI scientist for science customers. You’ll work at the intersection of software engineering, biology, and frontier AI, turning complex data into rigorous tasks for models and evaluations.

You’ll collaborate with scientists and external labs to close gaps in real-world reasoning and drive impact across discovery and development. The role emphasizes building datasets, evaluating model failures, and creating scalable data infrastructure, with an emphasis on rapid

Qualifications

• 2+ years at the intersection of biology and AI, with academic or industry experience evaluating and improving scientific models or LLMs for biological applications.
• Experience building with LLMs, with intuition for where current models excel and where they struggle.
• Curiosity and excitement about frontier AI, with a desire to understand and push capabilities.
• Comfort working on ambiguous problems in a rapidly shifting landscape.
• Collaborative mindset, able to work with engineers, scientists, and external partners.
• Desire to work in a fast-paced environment with rapid experimentation.

Responsibilities

• Build datasets for evaluating and improving frontier models, turning complex scientific data into high-quality tasks and environments for LLMs.
• Analyze model failure modes, running experiments across frontier models to understand where they struggle.
• Build scalable data infrastructure, creating pipelines that curate, transform, and validate large volumes of scientific data into tasks for evaluation.
• Collaborate with frontier AI labs to develop and evaluate approaches for improving models on challenging scientific tasks.
• Work closely with scientists, translating expert judgment into problems and evaluation criteria that differentiate strong model behavior.

Skills

Biology & AI

LLMs

Collaboration

Ambiguity

Fast-paced

Job description

Benchling, Inc. is building an AI scientist for science customers. You’ll work at the intersection of software engineering, biology, and frontier AI, turning complex data into rigorous tasks for models and evaluations.

You’ll collaborate with scientists and external labs to close gaps in real-world reasoning and drive impact across discovery and development. The role emphasizes building datasets, evaluating model failures, and creating scalable data infrastructure, with an emphasis on rapid