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Research Informatics Jobs in Seattle, WA (NOW HIRING)

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Research Informatics information

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$48.4K

$97.4K

$142.3K

How much do research informatics jobs pay per year?

As of Aug 17, 2026, the average yearly pay for research informatics in Seattle, WA is $97,426.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $113,800.00 per year, depending on experience, location, and employer.

What is research informatics?

A Research Informatics job involves managing and analyzing research data using computational tools and informatics systems. Professionals in this field support scientific discovery by developing databases, workflows, and software solutions to organize and interpret complex datasets. They work closely with researchers to streamline data collection, ensure data integrity, and facilitate reproducibility. This role is common in healthcare, pharmaceuticals, and academia, where large-scale data analysis is essential for advancing knowledge and innovation. Strong skills in data management, programming, and domain-specific expertise are often required.

What does a research informatics professional do?

A Research Informatics professional is typically responsible for managing research data, developing and maintaining databases, and ensuring data quality and integrity throughout the research process. Daily tasks often include collaborating with scientists and research staff to design data collection workflows, analyzing or visualizing large datasets, and troubleshooting informatics systems to support ongoing studies. Other duties may involve documentation for data governance, training team members on informatics tools, and staying updated on emerging technologies relevant to biomedical research. This role is integral to facilitating efficient, accurate, and compliant research operations, bridging the gap between IT and scientific teams.

What are the key skills and qualifications needed to thrive in research informatics?

To thrive as a Research Informatics professional, you need a strong background in data analysis, database management, and biomedical or clinical research, typically supported by a degree in informatics, computer science, or a related scientific discipline. Familiarity with tools such as SQL, Python, R, laboratory information management systems (LIMS), and data visualization platforms is highly valued, and certifications in data management or informatics can be advantageous. Effective communication, attention to detail, and problem-solving abilities distinguish top performers in this field. These skills ensure the reliable management and interpretation of complex research data, supporting scientific discovery and compliance with regulatory standards.

Infographic showing various Research Informatics job openings in Seattle, WA as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $97,426 per year, or $46.8 per hour.

AI Research Scientist -- Agentic AI for Materials Discovery

Meta

Redmond, WA

$184K/yr

Full-time

Re-posted 18 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 244 rated software companies


Job description

This role sits within Meta's Reality Labs Research, in the Material and Systems Innovation team, which develops advanced materials for two of Meta's most ambitious hardware frontiers: lightweight, all-day wearable AR glasses and next-generation sensing and actuating materials for robotics. The AI Specialist will design and build LLM-orchestrated multi-agent systems that autonomously drive materials discovery pipelines — from computational screening and simulation through synthesis and characterization — across both domains. By closing this loop with agentic AI, we aim to compress discovery timelines from years to weeks, directly accelerating Meta's ability to ship breakthrough AR/VR and robotics hardware. This position bridges two of Meta's highest-priority investment areas — frontier AI and the physical systems underpinning the metaverse and embodied intelligence — and will contribute both production systems and published research at top-tier venues.
AI Research Scientist — Agentic AI for Materials Discovery Responsibilities:
  • Design, implement, and optimize LLM-orchestrated multi-agent systems for autonomous materials discovery pipelines
  • Build specialized AI sub-agents that operate within a closed-loop discovery framework
  • Integrate agentic AI workflows with computational chemistry tools (DFT, MD, Monte Carlo) and HPC infrastructure
  • Develop and fine-tune retrieval-augmented generation (RAG) systems over scientific literature corpora for real-time knowledge synthesis
  • Collaborate with materials scientists, computational chemists, and ML researchers to translate domain workflows into autonomous agent architectures
  • Evaluate and benchmark agent performance on materials discovery tasks — measuring accuracy, throughput, and synthetic viability of generated candidates
  • Contribute to open-source tooling and publish research at top-tier venues (NeurIPS, ICML, ICLR, or domain journals)

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • PhD in AI, Computer Science, Computational Chemistry, Materials Science, or related field
  • 2+ years of experience with large language models, prompt engineering, or agentic AI frameworks (e.g., React, tool-use agents, multi-agent orchestration)
  • Demonstrated programming skills in Python and experience with ML frameworks (PyTorch, JAX, or similar)
  • Demonstrated experience in building end-to-end AI systems that integrate external tools and APIs
  • Familiarity with at least one domain: computational chemistry, molecular simulation, or materials informatics

Preferred Qualifications:
  • Experience building multi-agent or LLM-orchestrated systems for scientific applications
  • Familiarity with atomistic simulation tools (VASP, Gaussian, LAMMPS, ASE) or cheminformatics libraries
  • Publications at peer-reviewed ML or domain conferences
  • Experience with retrieval-augmented generation, knowledge graphs, or scientific literature mining
  • Understanding of crystal structure prediction, molecular dynamics, or quantum chemistry workflows
  • Experience with HPC job orchestration

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$184,000/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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