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Bioinformatics Data Analyst Jobs in Tulsa, OK (NOW HIRING)

The OSU/A&M System

Post-Doctoral Fellowship

Tulsa, OK · On-site

$44K - $60K/yr

Campus OSU-Center for Health Sciences Contact Name & Email Jeff Kellerman, jeff.kellerman@okstate.edu Work Schedule Monday through Friday, 8:00am-5:00pm Appointment Length Regular Continuous/Until

Oklahoma State University

Post-Doctoral Fellowship

Tulsa, OK · On-site

$44K - $60K/yr

Post-Doctoral Fellowship Job no: 492588 Work type: Faculty Location: Tulsa Categories: Medical & Health-Related, Faculty/Instructor Campus OSU-Center for Health Sciences Contact Name & Email Jeff

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How much do bioinformatics data analyst jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for bioinformatics data analyst in Tulsa, OK is $41.85, according to ZipRecruiter salary data. Most workers in this role earn between $32.93 and $44.81 per hour, depending on experience, location, and employer.

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.

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 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.

What are popular job titles related to Bioinformatics Data Analyst jobs in Tulsa, OK?

For Bioinformatics Data Analyst jobs in Tulsa, OK, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Data Analyst jobs in Tulsa, OK look for?

The top searched job categories for Bioinformatics Data Analyst jobs in Tulsa, OK are:

Bioinformatics Data Analyst jobs near you
Infographic showing various Bioinformatics Data Analyst job openings in Tulsa, OK as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $87,052 per year, or $41.9 per hour.

Research Scientist GS9392

Tulsa, OK • On-site

Oklahoma State University
See more jobs at Oklahoma State Universityexternal

Full-time

Re-posted 19 hours ago

Oklahoma State University rating

7.4

Company rating: 7.4 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

Job description

Research Scientist GS9392
Job no: 493897
Work type: Staff Full-time
Location: Tulsa
Categories: Research
Campus
OSU-Center for Health Sciences
Contact Name & Email
Jamie Childers, Jamie.Childers@okstate.edu
Work Schedule
Typically Monday - Friday, 8 hour shifts
Appointment Length
Regular Continuous/Until Further Notice
Hiring Range
Salary
Priority Application Date
While applications will be accepted until a successful candidate has been hired, interested parties are encouraged to submit their materials by to ensure full consideration.
Special Instructions to Applicants
For full consideration, please include a resume or CV, cover letter and contact information for three professional references
About this Position
The Department of Anatomy & Cell Biology is seeking a Research Assistant or Scientist to provide quantitative and data-focused support for human and mouse neuroscience research. This position focuses on data management, analysis, and study infrastructure for IRB-regulated human and animal subjects research, including behavioral and neuroimaging studies. The role functions as a shared analytical resource and is primarily computational in nature, with limited but essential involvement in human subjects research activities.
Key Responsibilities
  • Conduct quantitative analyses using Python and/or R
  • Analyze and interpret high-throughput DNA/RNA sequencing (bulk and single-cell RNA-seq) datasets using established pipelines and statistical methods;
  • Support development and deployment of behavioral tasks (online and in-person)
  • Assist with neuroimaging and behavioral data workflows
  • Ensure compliance with data security and IRB regulations as well as ensuring data integrity and reproducibility

Required Qualifications
  • Master's
    • Master's degree or Ph.D. in neuroscience, bioinformatics, data science, biomedical engineering, or a related field
    (degree must be conferred on or before agreed upon start date)
    • Experience with quantitative data analysis (Python and/or R)
    • Experience working with research data or regulated datasets
  • Certifications, Registrations, and/or Licenses:
  • Skills, Proficiencies, and/or Knowledge:
    • Ability to implement and troubleshoot bioinformatics workflows in R and/or Python for quality control, normalization, clustering, differential expression or other analysis steps
    • Strong organizational and communication skills

Preferred Qualifications
  • Ph.D. degree
    • Ph.D. degree in a relevant field
    • Experience with large-scale databases (behavioral, neuroimaging, genomic databases)
  • Certifications, Registrations, and/or Licenses:
  • Skills, Proficiencies, and/or Knowledge:
    • Familiarity with Unix/Linux environments

Advertised: 24 Aug 2026 Central Daylight Time
Applications close:
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