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Bioinformatics Data Analyst Jobs (NOW HIRING)

Oran Inc

Bioinformatics Analyst III

Herndon, VA · On-site

... highly skilled Bioinformatics Analyst III to support biomedical and clinical research data ... This role requires strong technical expertise in biomedical data systems, healthcare ...

Oran Inc

Bioinformatics Analyst III

Herndon, VA

... highly skilled Bioinformatics Analyst III to support biomedical and clinical research data ... This role requires strong technical expertise in biomedical data systems, healthcare ...

Oran, Inc.

Bioinformatics Analyst III

Herndon, VA · On-site

... highly skilled Bioinformatics Analyst III to support biomedical and clinical research data ... This role requires strong technical expertise in biomedical data systems, healthcare ...

Bruker

The Bioinformatician will furthermore play a role in performing CellScape data analyses for key customer collaborations and/or contract research projects. The ideal candidate will have a solid ...

UNAVAILABLE

The Bioinformatician will furthermore play a role in performing CellScape data analyses for key customer collaborations and/or contract research projects. The ideal candidate will have a solid ...

Bruker

Scientist, Bioinformatics

Saint Louis, MO

The Bioinformatician will furthermore play a role in performing CellScape data analyses for key customer collaborations and/or contract research projects. The ideal candidate will have a solid ...

Bruker

The Bioinformatician will furthermore play a role in performing CellScape data analyses for key customer collaborations and/or contract research projects. The ideal candidate will have a solid ...

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How much do bioinformatics data analyst jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for bioinformatics data analyst in the United States is $45.82, according to ZipRecruiter salary data. Most workers in this role earn between $36.06 and $49.04 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Bioinformatics Data Analyst, and why are they important?

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 typically collaborate with researchers and other team members in a multidisciplinary environment?

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 are Bioinformatics Data Analysts?

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.
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What cities are hiring for Bioinformatics Data Analyst jobs? Cities with the most Bioinformatics Data Analyst job openings:
What states have the most Bioinformatics Data Analyst jobs? States with the most job openings for Bioinformatics Data Analyst jobs include:
What job categories do people searching Bioinformatics Data Analyst jobs look for? The top searched job categories for Bioinformatics Data Analyst jobs are:
Bioinformatics Data Analyst jobs near you
Infographic showing various Bioinformatics Data Analyst job openings in the United States as of May 2026, with employment types broken down into 74% Full Time, 23% Contract, and 3% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $95,308 per year, or $45.8 per hour.
Bioinformatics Analyst III

Bioinformatics Analyst III

Oran Inc

Herndon, VA • On-site

Other

Posted 16 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.
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