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Research Informatics Jobs in Virginia (NOW HIRING)

Oran, Inc.

Bioinformatics Analyst III

Herndon, VA · On-site +1

Support biomedical and clinical research data analysis initiatives. * Analyze structured and ... Bachelor's or Master's degree in Bioinformatics, Computational Biology, Biomedical Informatics ...

Oran Inc

Bioinformatics Analyst III

Herndon, VA

Support biomedical and clinical research data analysis initiatives. * Analyze structured and ... Bachelor's or Master's degree in Bioinformatics, Computational Biology, Biomedical Informatics ...

VHC Health

Epic Clinical Analyst III

Alexandria, VA · On-site

Takes the initiative to research, resolve and respond to inquiries during the deployment and ... Preferred degree in: Health Care Administration, Clinical Information Systems, Informatics ...

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Research Informatics information

See Virginia salary details

$42.1K

$84.9K

$123.9K

How much do research informatics jobs pay per year?

As of Jul 10, 2026, the average yearly pay for research informatics in Virginia is $84,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,400.00 and $99,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Research Informatics position, and why are they important?

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 are the typical responsibilities of a Research Informatics professional on a daily basis?

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 is a Research Informatics job?

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 are popular job titles related to Research Informatics jobs in Virginia? For Research Informatics jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Research Informatics jobs in Virginia look for? The top searched job categories for Research Informatics jobs in Virginia are:
Research Informatics jobs near you
Infographic showing various Research Informatics job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 8% Part Time, 5% Contract, and 1% Summer. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $84,875 per year, or $40.8 per hour.
Bioinformatics Analyst III

Bioinformatics Analyst III

Oran, Inc.

Herndon, VA • On-site, Remote

Full-time

Re-posted 19 days ago

Job description

Experience Required
7+ Years
Position Overview
We are seeking a highly skilled Bioinformatics Analyst III to support biomedical and clinical research data initiatives. The ideal candidate will have extensive experience analyzing structured and unstructured clinical datasets and supporting AI/ML-driven healthcare analytics initiatives. This role requires strong technical expertise in biomedical data systems, healthcare interoperability standards, and statistical analysis.
Key Responsibilities
  • Support biomedical and clinical research data analysis initiatives.
  • Analyze structured and unstructured clinical datasets.
  • Develop and maintain data pipelines for healthcare analytics projects.
  • Support AI/ML and predictive analytics initiatives in healthcare environments.
  • Collaborate with data scientists, clinicians, and research teams.
  • Perform statistical analysis and data wrangling activities.
  • Implement ontology mapping and clinical data harmonization.
  • Ensure compliance with healthcare and regulatory data standards.
  • Develop APIs and integration workflows for healthcare data systems.
  • Document technical processes and analytical methodologies.

Required Qualifications
  • Bachelor's or Master's degree in Bioinformatics, Computational Biology, Biomedical Informatics, Data Science, Computer Science, or related scientific discipline.
  • 7+ years of professional experience in bioinformatics or healthcare analytics.
  • Experience supporting biomedical or clinical research data analysis initiatives.
  • Strong understanding of healthcare and life sciences environments.
  • Hands-on experience with clinical datasets and healthcare interoperability.

Required Skills
  • Python
  • R
  • SQL
  • Clinical Data Analysis
  • Biomedical Datasets
  • HL7/FHIR
  • Statistical Analysis
  • Data Wrangling
  • Ontology Mapping
  • AI-Assisted Analysis
  • Git
  • Jupyter
  • APIs

Preferred Qualifications
  • AWS Certified Data Analytics Certification
  • Certified Health Data Analyst (CHDA)
  • SAS Certifications

Work Environment
  • Experience working in healthcare, biomedical, or regulated environments preferred.
  • Ability to work independently and collaboratively in cross-functional teams.

Equal Opportunity Employer
We are an Equal Opportunity Employer and value diversity at all levels.

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