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Bioinformatics Data Analyst Jobs in Virginia (NOW HIRING)

micro1 AI

Cheminformatics Specialist - Remote

Norfolk, VA · On-site +1

$90 - $120/hr

Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software. * Excellent written communication skills to clearly explain complex scientific concepts to ...

micro1 AI

Cheminformatics Specialist - Remote

Hampton, VA · On-site +1

$90 - $120/hr

Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software. * Excellent written communication skills to clearly explain complex scientific concepts to ...

micro1 AI

Cheminformatics Specialist - Remote

Roanoke, VA · On-site +1

$90 - $120/hr

Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software. * Excellent written communication skills to clearly explain complex scientific concepts to ...

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Bioinformatics Data Analyst information

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How much do bioinformatics data analyst jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for bioinformatics data analyst in Virginia is $45.43, according to ZipRecruiter salary data. Most workers in this role earn between $35.77 and $48.61 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a bioinformatics data analyst?

To thrive as a Bioinformatics Data Analyst, a solid background in biology, statistics, and programming (often with a degree in bioinformatics, computational biology, or a related field) is essential. Proficiency with tools such as R, Python, SQL, and bioinformatics software like BLAST or Bioconductor, as well as experience with large datasets and relevant certifications, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help analysts interpret complex data and collaborate with interdisciplinary teams. These skills ensure accurate data analysis, meaningful biological insights, and successful project outcomes in research or clinical settings.

What is the difference between Bioinformatics Data Analyst vs Bioinformatics Scientist?

AspectBioinformatics Data AnalystBioinformatics Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fieldsMaster's or PhD in Bioinformatics, Computational Biology, or related fields
Work EnvironmentData analysis teams, research labs, healthcare settingsResearch projects, development of algorithms, scientific publications
Employer & Industry UsageBiotech companies, healthcare institutions, research organizationsAcademic institutions, biotech firms, pharmaceutical companies
Common Search & ComparisonOften compared for data analysis roles in bioinformaticsMore research-focused, involved in algorithm development

Bioinformatics Data Analysts primarily focus on analyzing biological data using existing tools, while Bioinformatics Scientists develop new algorithms and conduct research. Both roles require strong computational skills, but the Scientist role typically involves more advanced research and innovation.

How do bioinformatics data analysts collaborate with researchers and other team members?

Bioinformatics Data Analysts often work closely with biologists, clinicians, and software engineers, acting as a bridge between experimental research and computational analysis. Collaboration usually involves interpreting experimental data, discussing analytical approaches, and presenting findings in a way that's accessible to non-technical stakeholders. Regular team meetings and project updates are common, and strong communication skills are essential for translating complex data insights into actionable information for the broader research team. This multidisciplinary teamwork fosters innovation and ensures that analyses align with the goals of larger research projects.

What is a bioinformatics data analyst?

Bioinformatics Data Analysts are professionals who use computational tools and methods to analyze biological data, such as genomic sequences or protein structures. They work at the intersection of biology, computer science, and statistics to interpret complex datasets and draw meaningful insights for research or clinical applications. Their work supports areas like drug discovery, personalized medicine, and evolutionary biology. Typically, they collaborate with biologists, software engineers, and statisticians to solve complex biological problems. Strong analytical skills and proficiency with data analysis software are essential for this role.
What are popular job titles related to Bioinformatics Data Analyst jobs in Virginia? For Bioinformatics Data Analyst jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Data Analyst jobs in Virginia look for? The top searched job categories for Bioinformatics Data Analyst jobs in Virginia are:
What cities in Virginia are hiring for Bioinformatics Data Analyst jobs? Cities in Virginia with the most Bioinformatics Data Analyst job openings:
Bioinformatics Data Analyst jobs near you
Infographic showing various Bioinformatics Data Analyst job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $94,491 per year, or $45.4 per hour.

Research Program Analyst, Ehlers Danlos Clinic

University of Virginia

Charlottesville, VA • On-site

Full-time

Posted 13 days ago

University Of Virginia rating

7.9

Company rating: 7.9 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

206th of 615 rated colleges and universities

Job description

The University of Virginia Department of Medicine's Division of General, Geriatric, and Palliative Medicine seeks a Research Program Analyst to support the Center for Ehlers-Danlos and Hypermobility Syndromes.
The Research Program Analyst will provide analytical, technical, and programmatic support for faculty-led research focused on Ehlers-Danlos syndromes, hypermobility-related conditions, and associated complex health concerns. Working under the direction of the Center Director, faculty investigators, and designated research and administrative leadership, the analyst will help develop the Center's emerging research infrastructure and contribute to assigned clinical, translational, and data-driven projects.
Primary responsibilities include scientific literature review, data preparation and analysis, grant and manuscript support, pilot-project planning, development of preliminary data, preparation of abstracts and presentations, and coordination of research activities across multidisciplinary teams. Depending on project needs and the successful candidate's expertise , assignments may involve clinical data, genomics, bioinformatics, multiomics , metabolomics, infectious or environmental exposures, and responsible applications of artificial intelligence or machine learning in biomedical research.
This is a staff research-support position. The Research Program Analyst will not function as an independent investigator, principal investigator, research scientist, faculty member, or postdoctoral fellow. Scientific priorities, study design, analytic plans, interpretation, and dissemination will be established or approved by the responsible faculty investigator.
Responsibilities
  • Support faculty-led research projects from planning through analysis and dissemination; maintain project plans, timelines, decision records, deliverables, and organized research files.

  • Conduct structured literature searches and reviews; synthesize scientific evidence and prepare concise summaries, background sections, annotated references, and research briefings.

  • Prepare, clean, document, and analyze assigned datasets using appropriate statistical or computational methods under an approved analytic plan.

  • Develop reproducible data workflows, code, tables, figures, data dictionaries, and technical documentation; perform data-quality checks and communicate limitations or concerns.

  • Assist faculty investigators with grant development, including opportunity research, background materials, preliminary-data summaries, proposal components, graphics, references, internal timelines, and coordination with research administrators and collaborators.

  • Contribute to manuscripts, abstracts, posters, presentations, progress reports, and other scholarly products through analysis, drafting, editing, formatting, reference management, and coordination of coauthor input.

  • Support planning and implementation of pilot studies and collaborative projects, including collection and organization of preliminary data for future funding applications.

  • Assist with research documentation and operational requirements, such as protocol materials, data-management plans, IRB-related documents, data-use requests, regulatory files, training records, and approved research systems, under the direction of investigators and appropriate compliance personnel.

  • Coordinate research meetings and collaborations involving faculty, research staff, trainees, patients or community partners, institutional units, and external organizations; document decisions and follow up on assigned actions.

  • Help develop standard operating procedures, templates, trackers, shared resources, and reporting tools that strengthen the Center's research infrastructure and continuity.

  • Perform other research, analytical, and program-development duties consistent with the scope and level of the position.

  • Assist with processing, labeling, aliquoting, and storing blood and tissue specimens according to established laboratory protocols; maintain accurate sample documentation, support quality-control procedures, and ensure compliance with biosafety, infection-control, and research requirements.

Minimum Qualifications
  • Bachelor's degree in bioinformatics, biostatistics, data science, epidemiology, public health, biology, genetics, computational biology, biomedical sciences, or a related field, or an equivalent combination of education and relevant experience.

  • At least 2 years of relevant experience in biomedical or health research, research data analysis, bioinformatics, research program support, or a closely related area. Relevant graduate education may substitute for a portion of the experience requirement, subject to Human Resources review.

  • Experience using at least one statistical, programming, or data-analysis environment such as R, Python, SAS, Stata, MATLAB, or a comparable platform, along with proficiency in Microsoft Excel.

  • Demonstrated ability to interpret scientific literature, organize complex information, maintain accurate documentation, and communicate analytical findings clearly.

  • Strong organizational, problem-solving, written communication, and collaborative skills, with careful attention to data quality, confidentiality, and deadlines.

Preferred Qualifications
  • Master's degree, doctoral training, or other advanced preparation in a relevant scientific, quantitative, or health-related discipline. A PhD is not required .

  • Experience in clinical or translational research, rare disease research, complex chronic illness, genomics, bioinformatics, multiomics , metabolomics, virology or infectious disease, environmental exposures, or biomedical applications of machine learning.

  • Experience preparing grant proposals, manuscripts, abstracts, posters, scientific presentations, or preliminary-data packages.

  • Experience managing and analyzing clinical, genomic, omics, survey, registry, or other complex biomedical datasets.

  • Experience with reproducible research practices, version control, databases, REDCap , Qualtrics, reference-management software, data visualization, or research collaboration platforms.

  • Familiarity with human-subjects research, IRB processes, HIPAA, data-use agreements, research data security, or related compliance requirements.

  • Ability to explain technical concepts to collaborators with varied scientific, clinical, and analytical backgrounds.

Physical Demands
This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.
Salary Range
  • The anticipated hiring range is $ 75,000 -$ 85 , 000 , c ommensurate with education and experience.

Position Type & Work Location
  • This is an exempt-leve l, benefited position. Learn more about UVA benefits .

  • This is a restricted position, which is dependent on funding and is contingent upon funding availability.

  • This position has a term limit of 1 year after which continued employment will depend on department need and funding.

  • The position is expected to work primarily on-site. Limited hybrid work may be available based on project responsibilities, data-access requirements, operational needs, and applicable University and departmental policies.

About UVA and the Community
To learn more about UVA and in the Charlottesville area, visit UVA Life and Embark CVA .
Application Timeline
Application review will begin after July 28, 2026
Additional Requirements
  • Background checks and pre-employment health screenings will be conducted on all new hires prior to employment.

How to Apply
Please apply online , by searching for requisition number R0085609 .
Internal applicants may search and apply for jobs on the UVA Internal Careers website .
Complete an application with the following documents:
  • Resume

  • Cover Letter

Upload all materials into the resume submission field . You can submit multiple documents into this one field or combine them into one PDF . Applications without all required documents will not receive full consideration.
Applicants may also be asked to provide a brief work sample, code sample, publication, poster, analytical summary, or description of a relevant project at a later stage of the selection process.
Reference Check Process
Reference checks will be completed by UVA's third-party partner, SkillSurvey, during the final phase of the interview. Five references will be requested, with at least three responses required .
Contact
  • For q uestions about the application process, please contact Jon Freeman, jf2sw@virginia.edu.

The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .

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About University of Virginia

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The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Charlottesville, VA, US

Year founded

1819

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