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Designs and evaluates informatics methods and products with reporting of findings that can be generalized to the broad research community; develops custom ad hoc reports and tools in support of ...

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$85.6K

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How much do research informatics jobs pay per year?

As of Sep 11, 2026, the average yearly pay for research informatics in the United States is $85,609.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $100,000.00 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.

What research informatics jobs make the most money?

Research informatics roles such as senior bioinformatics scientists, data managers, and lead informatics analysts tend to have the highest salaries, often exceeding six figures, especially with advanced skills in programming, data analysis, and experience with electronic health records or genomic data. Higher compensation is typically associated with specialized expertise, certifications, and leadership responsibilities in healthcare or research institutions.
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Research Informatics jobs near you
Infographic showing various Research Informatics job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 88% Full Time, 9% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $85,609 per year, or $41.2 per hour.

Senior Manager, Research Informatics

Redwood City, CA • Hybrid

Revolution Medicines
See more jobs at Revolution Medicinesexternal

Full-time

Re-posted 13 days ago

Job description

The Opportunity:

We are seeking a Senior Manager, Research Informatics to lead the strategy, development, and evolution of research informatics capabilities that accelerate Discovery Research. In this role, you will partner closely with scientific teams, computational scientists, and technology teams to define and deliver scalable digital solutions that transform how scientific data is captured, managed, analyzed, and leveraged across the research organization.

You will lead initiatives to modernize research workflows by driving standardization, automation, expanding the adoption of enterprise platforms over standalone applications, and seamless integration across the research informatics ecosystem. By establishing scalable data frameworks, governance, and best practices, you will enable high-quality, traceable, and reusable scientific data that supports operational excellence, advanced analytics, and AI-enabled discovery. In this role you will be responsible for:

  • Develop and execute the research informatics strategy to support scalable, efficient, high-quality workflows across Discovery Research.

  • Partner with scientific, computational, and technology teams to align research priorities with informatics capabilities and technology roadmaps.

  • Lead the design, governance, and lifecycle management of research data models, templates, workflows, and enterprise platforms, including Genedata Screener and Benchling.

  • Automate and optimize data capture, assay analysis, reporting, and system integrations to improve efficiency, reproducibility, and data integrity.

  • Establish standards and best practices for data management, metadata, workflow design, system configuration, and application lifecycle management.

  • Build partnerships with scientists, computational teams, IT, vendors, and external collaborators to deliver high-impact informatics solutions.

  • Prioritize application enhancements, support needs, and operational improvements to maintain strong service levels and user satisfaction.

  • Drive user adoption through clear communication, training, change management, and stakeholder engagement.

  • Assess emerging technologies, including AI-enabled platforms and advanced analytics, and define implementation strategies that improve scientific productivity.

Required Skills, Experience and Education:

  • Bachelor's degree in a scientific, computational, or related field; advanced degree preferred.

  • 7 - 9 years of experience leading research informatics, scientific applications, or laboratory information management initiatives in biotech, pharmaceutical, or research settings.

  • Experience with Assay Management platforms such as Genedata Screener, IDBS ActivityBase or Revvity Signals.

  • Strong understanding of discovery research workflows, scientific data management, assay informatics, laboratory operations, and research data lifecycle management.

  • Experience implementing, optimizing, and governing enterprise scientific platforms and informatics ecosystems.

  • Proven ability to translate scientific and business needs into scalable technology solutions and long-term roadmaps.

  • Experience leading cross-functional programs with scientists, software engineers, and external vendors.

  • Working knowledge of workflow automation, systems integration, data standards, SQL, Python, and modern data integration approaches.

  • Excellent communication, leadership, and executive presentation skills, with the ability to influence technical and scientific stakeholders.

  • Demonstrated people leadership, coaching, and organizational development experience.

Preferred Skills

  • Experience with Genedata Screener, Genedata Expressionist, Benchling, D360, Mosaic, or similar scientific informatics platforms.

  • Experience supporting high-throughput screening, assay development, translational research, and discovery research teams.

  • Knowledge of APIs, data pipelines, cloud-based research platforms, and enterprise integration architectures.

  • Experience establishing research data governance, FAIR data principles, metadata standards, and reusable data frameworks.

  • Experience developing informatics capabilities that support machine learning, AI-enabled workflows, or advanced analytics.

  • Familiarity with resource planning, roadmap planning, vendor management, software licensing, and budgets. 

    #LI-Hybrid  #LI-YG1

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