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About the Role

We are building the AI platform for biotech R&D, focusing on making frontier AI models better at science by addressing the gap in reasoning for real-world scientific problems. You will build datasets, evaluations, and systems to close this gap, working at the intersection of software engineering, biology, and frontier AI.

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 and identify opportunities for improvement.
Build scalable data infrastructure, creating pipelines that curate, transform, and validate large volumes of scientific data into tasks for model evaluation and improvement.
Collaborate with frontier AI labs, helping develop and evaluate new approaches for improving models on challenging scientific tasks.
Work closely with scientists, translating expert judgment into problems and evaluation criteria that can reliably distinguish strong model behavior.

Requirements

2+ years at the intersection of biology and AI, with experience evaluating and improving scientific models or LLMs for biological applications.
Experience building with LLMs, with an intuition for where current models excel, where they struggle, and how to design systems around their capabilities.
Curiosity and excitement about frontier AI, with a desire to understand and push the capabilities of rapidly improving models.
Comfort working on ambiguous problems, where the playing field is rapidly shifting and the right technical approaches are still being discovered.
Collaborative mindset, able to work closely with engineers, scientists, and external research partners.
Desire to work in a fast-paced environment, where priorities can shift and rapid experimentation is encouraged.

Skills

AI
LLMs
Biology
Software Engineering
Data Curation
Data Transformation
Data Validation
Model Evaluation
Scientific Data Analysis

Location

San Francisco

Work Type

In-person
Fast-paced environment

Experience Level

2+ years

About the Company

We are rebuilding biotech for the AI era.
Benchling is the AI platform for biotech R&D.
Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows.
Over 200,000 scientists around the world trust Benchling to power their most important work, from academic labs to Sanofi, Moderna, and more than half of the world's top 50 biopharma.
We’re building an AI scientist for our customers.
AI fluency is the foundation we build on; it's core to how we work, and we're committed to helping every new hire integrate it into their day-to-day.

Equal Opportunity

Benchling welcomes everyone.
We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences.
We are an equal opportunity employer.
That means we don’t discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We also consider for employment qualified applicants with arrest and conviction records, consistent with applicable federal, state and local law, including but not limited to the San Francisco Fair Chance Ordinance.