Periodic Labs Hiring Research Scientist, Data to Advance Scientific AI and Machine Learning Innovation @Unknown

Periodic Labs, an artificial intelligence and physical sciences company focused on accelerating scientific discovery, has announced an opening for a Research Scientist, Data position. The role is designed for experienced researchers and engineers interested in developing advanced AI systems that support breakthroughs in materials science, energy research, and other scientific fields.

The successful candidate will join Periodic Labs’ research team and contribute to the development of state-of-the-art scientific AI models by creating high-quality datasets, designing evaluation systems, and building infrastructure that enables continuous improvement of machine learning models.

The position is available as a full-time opportunity based in Menlo Park, California, United States, or Montreal, Canada, with future expansion to San Francisco.

About Periodic Labs

Periodic Labs is building next-generation artificial intelligence technologies designed to transform how scientific research is conducted. The company focuses on combining AI capabilities with physical sciences to accelerate discoveries that may shape the future of materials, energy, and advanced technologies.

The organisation operates at the forefront of scientific AI research, bringing together experts in machine learning, computational science, experimental research, and engineering. Its mission is centred on developing AI systems capable of supporting complex scientific workflows and enabling researchers to solve challenging problems more efficiently.

Backed by leading investors and a rapidly growing team of specialists, Periodic Labs provides an environment where researchers can take ownership of impactful projects and contribute to cutting-edge scientific advancements.

Research Scientist, Data Role Overview

The Research Scientist, Data will focus on one of the most important components of scientific AI development: creating reliable evaluation frameworks and high-quality training data.

The role involves designing advanced scientific evaluations, acquiring external datasets, integrating experimental data into AI training systems, and developing reinforcement learning environments.

The successful applicant will collaborate closely with computational scientists, experimental researchers, and machine learning specialists to convert complex scientific processes into measurable AI benchmarks and training environments.

Key responsibilities will include:

• Developing evaluation strategies across AI training systems.
• Identifying capability gaps and helping define future research priorities.
• Translating scientific workflows into advanced benchmarks and reinforcement learning environments.
• Building datasets that improve AI model performance and scientific reasoning capabilities.
• Creating feedback systems connecting scientific applications, model evaluation, and training improvements.

Key Responsibilities

The selected Research Scientist, Data will be responsible for managing data and evaluation initiatives across Periodic Labs’ artificial intelligence research pipeline.

Main duties include:

• Working with scientific experts to design rigorous evaluations for AI models.
• Sourcing and assessing datasets covering chemistry, physics, materials science, mathematics, simulations, and laboratory technologies.
• Developing scalable data pipelines for processing large and complex datasets.
• Cleaning, transforming, and preparing data for large-scale AI model training.
• Creating tools that allow researchers to analyse datasets and identify model weaknesses.
• Supporting research teams in determining future evaluation requirements and data development priorities.

Required Qualifications and Skills

Periodic Labs is seeking candidates with a strong background in artificial intelligence research, data engineering, or scientific computing.

Ideal applicants should demonstrate experience with:

• Designing evaluations, benchmarks, or reinforcement learning environments for AI systems.
• Developing datasets for large language models, AI agents, or scientific applications.
• Building large-scale data processing pipelines.
• Managing dataset quality, provenance, licensing considerations, and contamination risks.
• Implementing data versioning and lineage tracking systems.
• Conducting research through experimentation, analysis, and iterative improvement.

Candidates with research experience in scientific disciplines such as materials science, solid-state chemistry, chemistry, computational physics, and semiconductor research are encouraged to apply.

Ideal Candidate Profile

Successful candidates will have a research-driven approach and the ability to investigate complex problems through experimentation and data analysis.

They should be comfortable collaborating across disciplines and working with experts in both artificial intelligence and physical sciences.

The role requires individuals who can combine technical expertise with scientific curiosity to create datasets and evaluation systems that improve AI models’ ability to support scientific discovery.

Position Details and Compensation

The Research Scientist, Data position offers competitive compensation and benefits, including:

• Employment type: Full-time
• Locations: Menlo Park, California, United States, or Montreal, Canada
• Future location option: San Francisco
• Minimum education requirement: Bachelor’s degree or equivalent experience
• Salary range: $250,000–$350,000 plus equity
• Visa sponsorship: Available for eligible candidates

Career Opportunity in Scientific AI

The Research Scientist, Data role at Periodic Labs provides an opportunity for researchers and engineers to contribute to the future of artificial intelligence-driven scientific discovery.

By developing advanced datasets, evaluation systems, and AI research infrastructure, the successful candidate will play a key role in improving machine learning models designed to address some of the world’s most complex scientific challenges.

Periodic Labs welcomes applications from individuals passionate about AI research, scientific innovation, and building technologies that expand the boundaries of human knowledge.

VISIT OFFICIAL WEBSITE TO APPLY

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Disclaimer: Global South Opportunities (GSO) is not the organization offering this opportunity. For any inquiries, please contact the official organization directly. Please do not send your applications & CVs to GSO, as we are unable to process them. Due to the high volume of emails, we receive daily, we may not be able to respond to all inquiries. Thank you for your understanding.