Research Scientist, Data
Periodic Labs· Science
Menlo Park, CA, Montreal, Canada$250k - $350kFull-timePosted 5mo ago
About the role
Role focused on evaluations and data for Scientific AI, building datasets, evaluation environments, and data pipelines to accelerate model evaluation and training across scientific domains.
Responsibilities
- Own the evaluation and data strategy across the training stack, identifying capability gaps and shaping the roadmap with leads of physical science and AI research
- Work with domain experts to translate advanced scientific workflows into rigorous evals, benchmarks, and RL environments
- Source, evaluate, and procure external datasets across chemistry, physics, materials science, mathematics, simulations, and laboratory instrumentation
- Build robust pipelines to ingest, clean, and transform for training large-scale datasets from heterogeneous sources
- Build tooling and analysis workflows that help researchers inspect data, understand model failures, and determine which evaluations or datasets to develop next
Qualifications
- 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 materials science, solid state chemistry, chemistry, computational physics, semiconductors
Skills
Required:Evaluations and benchmarkingLarge-scale data pipelinesData quality and provenanceSoftware engineeringScientific domain knowledge
Last updated Sep 30, 2026. Interested? Apply on the company site.
About Periodic Labs
From bits to atoms.
Periodic Labs is an artificial intelligence research company pioneering the next leap in scientific discovery. We operate at the intersection of machine learning and scientific experimentation under the thesis that that true understanding of the universe is only possible by interacting and experimenting on it.
artificial intelligencescientific discoverymachine learningscientific experimentation
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