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Bioinformatics Jobs in Tulsa, OK (NOW HIRING)

The OSU/A&M System

Research Scientist GS9113

Tulsa, OK · On-site

Prior experience in flow cytometry including sorting and data analysis, cell culture, bioinformatics and confocal microscopy would be a distinct advantage. The candidate will be expected to perform ...

The OSU/A&M System

Post-Doctoral Fellowship

Tulsa, OK · On-site

$44K - $60K/yr

D./Ed.D. social science, computer science, statistics/data analytics, bioinformatics, or biomedical science related disciplines.(degree must be conferred on or before agreed upon start date ...

Varsity Tutors

Genetics Tutor

Tulsa, OK · Remote

$40/hr

Adapts instruction using Punnett squares, pedigree practice sets, and bioinformatics tools to support biology majors and pre-medical students preparing for graduate-level genetics or MCAT biological ...

All JobsBioinformatics JobsBioinformatics Jobs in Tulsa, OK

Bioinformatics information

See Tulsa, OK salary details

$54.3K

$86.3K

$136.5K

How much do bioinformatics jobs pay per year?

As of Sep 12, 2026, the average yearly pay for bioinformatics in Tulsa, OK is $86,290.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $118,300.00 per year, depending on experience, location, and employer.

What is bioinformatics?

A Bioinformatics job involves using computational tools and techniques to analyze biological data, such as genomic sequences, protein structures, and clinical information. Professionals in this field work at the intersection of biology, computer science, and statistics to develop algorithms, databases, and software for processing large-scale biological data. Bioinformaticians are employed in academia, pharmaceutical companies, healthcare, and biotechnology sectors to assist with research, drug discovery, and personalized medicine. Key skills include programming, data analysis, and a strong understanding of molecular biology.

What are the typical day-to-day responsibilities of a bioinformatics professional?

A typical day in bioinformatics often involves analyzing large biological datasets, such as genomic or proteomic sequences, using specialized software and programming languages. You might spend time developing or modifying algorithms, visualizing complex data, and applying statistical methods to interpret research findings. Collaborating closely with biologists, data scientists, and clinicians is common to ensure that computational results are aligned with biological questions. Bioinformatics professionals are also expected to document their work, present findings, and stay updated with new tools and advances in the field, making for a dynamic and engaging work environment.

What are the key skills and qualifications needed to thrive in bioinformatics?

To thrive in bioinformatics, you need expertise in biological sciences, strong programming skills (such as Python, R, or Perl), and a solid understanding of statistics, typically supported by a degree in bioinformatics, computational biology, or a related field. Familiarity with bioinformatics databases, software tools (like BLAST, Bioconductor, or Galaxy), and experience with next-generation sequencing data analysis are highly valued. Analytical thinking, problem-solving abilities, and effective communication are essential soft skills for collaborating in interdisciplinary research environments. These skills are crucial for accurately interpreting complex biological data, developing useful computational solutions, and successfully contributing to scientific advancements.

Do bioinformaticians make a lot of money?

Bioinformaticians typically earn competitive salaries that vary based on experience, education, and location. Entry-level positions often start around $60,000 to $80,000 annually, with experienced professionals earning over $100,000, especially in biotech or pharmaceutical industries. Skills in programming, data analysis, and familiarity with tools like Python or R can enhance earning potential.

How hard is it to get a job in bioinformatics?

Securing a job in bioinformatics can be competitive, often requiring a strong background in biology, computer science, or related fields, along with skills in programming, data analysis, and familiarity with tools like Python, R, or Linux. Relevant education such as a master's or Ph.D. and experience with large datasets or sequencing technologies can improve job prospects, but entry-level positions are available for those with relevant skills and training.

What do people who work in bioinformatics do?

Bioinformatics professionals analyze biological data, such as genetic sequences and molecular structures, using computational tools and algorithms. They develop software, interpret large datasets, and collaborate with biologists and healthcare researchers to advance understanding of biological processes and improve medical research.

What jobs can I do with bioinformatics?

Bioinformatics professionals can work as bioinformatics analysts, computational biologists, research scientists, or data scientists in healthcare, pharmaceuticals, biotechnology, and academic research. These roles often require skills in programming, data analysis, and familiarity with biological databases and tools like R, Python, and SQL.

What are the most commonly searched types of Bioinformatics jobs in Tulsa, OK?

The most popular types of Bioinformatics jobs in Tulsa, OK are:

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

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

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

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

What cities near Tulsa, OK are hiring for Bioinformatics jobs?

Cities near Tulsa, OK with the most Bioinformatics job openings:

Bioinformatics jobs near you
Infographic showing various Bioinformatics job openings in Tulsa, OK as of September 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $86,290 per year, or $41.5 per hour.

Research Scientist GS9392

Tulsa, OK • On-site

The OSU/A&M System
See more jobs at The OSU/A&M Systemexternal

Full-time

Re-posted 20 hours ago

Job description

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