# Research Scientist, Data at Periodic Labs

- Company: Periodic Labs
- What the company does: From bits to atoms. Backed by Accel, Lightspeed and a16z.
- Company website: https://periodic.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: Menlo Park, CA
- Work setup: On-site
- Pay: $250K to $350K base salary per year (USD)
- Posted: 2026-07-25
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/periodic-labs/d039ec58-a97d-47e1-b1e5-db003d772f77
- Page: https://www.1752.vc/careers/jobs/periodic-labs-research-scientist-data/

## About the role

You will work on the most important aspect of Scientific AI creation: evaluations and data. This means constructing cutting-edge evaluations based on advanced scientific use cases, sourcing and procuring external datasets, integrating internally generated experimental data into the training stack, constructing training environments for RL. You’ll ensure that the team always has the right assets, in the right shape, to evaluate and improve AI models.

## What they're looking for

- Designed evaluations, benchmarks, or RL environments for language models, agents, or scientific AI systems
- Built large-scale data pipelines for LLM pretraining, midtraining, post-training, or evaluation
- Strong judgment about dataset and evaluation quality, including scientific relevance, coverage, provenance, licensing, and contamination risks
- Strong software and data engineering skills, including familiarity with data processing at scale, dataset versioning, lineage tracking
- A research-oriented mindset: you form hypotheses about data, run controlled experiments, measure model outcomes, and iterate with rigor
- Research experience in areas such as materials science, solid state chemistry, chemistry, computational physics, semiconductors

Tags: Science