Materials Scientist — AI-Driven Research & Data Systems

Periodic Labs; Menlo Park (CA); Hybrid; USD 250,000 - 350,000; Full time

Benefits offered by this job

Visa sponsorship: Yes

Job summary

Periodic Labs in Menlo Park is seeking a materials scientist to advance AI-driven research across materials discovery. You will work with experimental and computational teams, building agents and tools, and focus on data that enables LLMs to reason and improve through addressing data quality and metadata relevance.

This hybrid role requires deep domain knowledge, meticulous attention to detail, and the ability to fix data at the source while aligning research objectives with practical lab

Qualifications

• Minimum 4+ years in materials science research or industry
• PhD in Materials Science, Chemistry, or related field, or equivalent industry experience
• Experience with data at scale and lab-data workflows

Responsibilities

• Collaborate with lab scientists and computational teams on active research problems
• Identify data errors and failure modes in agents and fix at source
• Restructure materials databases around how agents reason and fail
• Build research software for lab environments and evaluate agent performance

Skills

Materials science

Data at scale

Experimental methods

Computational modeling

LLM tooling

Education

PhD in Materials Science, Chemistry, or related field

Tools

Python

SQL / databases

Lab data management

Job description

Periodic Labs in Menlo Park is seeking a materials scientist to advance AI-driven research across materials discovery. You will work with experimental and computational teams, building agents and tools, and focus on data that enables LLMs to reason and improve through addressing data quality and metadata relevance.

This hybrid role requires deep domain knowledge, meticulous attention to detail, and the ability to fix data at the source while aligning research objectives with practical lab