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Full Time Python Bioinformatics Jobs in Oklahoma

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Full Time Python Bioinformatics information

What is the difference between Full Time Python Bioinformatics vs Full Time R Bioinformatics?

AspectFull Time Python BioinformaticsFull Time R Bioinformatics
Required CredentialsBachelor's or higher in Bioinformatics, Computer Science, or related; Python proficiency; sometimes certifications in bioinformatics toolsBachelor's or higher in Bioinformatics, Data Science, or related; R programming skills; certifications in statistical analysis
Work EnvironmentResearch labs, biotech companies, healthcare institutionsAcademic research, biotech firms, healthcare settings
Employer & Industry UsageTech-driven bioinformatics roles, data analysis, pipeline developmentStatistical analysis, data visualization, research projects

Both roles involve bioinformatics analysis but differ mainly in programming language focus. Python roles emphasize pipeline development and automation, while R roles focus on statistical analysis and visualization. Your choice depends on your programming expertise and career goals within bioinformatics.

What are some typical projects a Full Time Python Bioinformatics professional might work on, and how do they collaborate with other team members?

As a Full Time Python Bioinformatics professional, you can expect to work on projects such as developing data analysis pipelines for genomic sequencing, creating visualization tools for biological datasets, or automating workflows for large-scale biological experiments. Collaboration is a key aspect of the role; you will frequently work alongside biologists, data scientists, and software engineers to ensure that computational solutions address scientific questions effectively. Regular meetings to discuss project goals, code reviews, and joint troubleshooting sessions are common, fostering a dynamic and interdisciplinary work environment.

What are the key skills and qualifications needed to thrive as a Full Time Python Bioinformatics professional, and why are they important?

To thrive as a Full Time Python Bioinformatics professional, you need a solid background in biology or bioinformatics, strong Python programming skills, and typically a degree in a related field such as bioinformatics, computer science, or computational biology. Familiarity with bioinformatics tools (like Biopython), databases (such as NCBI or Ensembl), and version control systems (like Git) is commonly expected. Critical thinking, problem-solving ability, and effective communication are important soft skills for interpreting complex biological data and collaborating with interdisciplinary teams. These skills and qualifications are essential for developing accurate analysis pipelines and driving meaningful research outcomes in the fast-evolving field of bioinformatics.

What does a Full Time Python Bioinformatics professional do?

A Full Time Python Bioinformatics professional uses Python programming to analyze and interpret biological data, such as DNA, RNA, or protein sequences. They develop scripts and software tools to handle large datasets, automate workflows, and perform statistical analyses to support research in areas like genomics and drug discovery. Their work often involves collaborating with biologists and other scientists to translate complex biological questions into computational solutions.
What are the most commonly searched types of Python Bioinformatics jobs in Oklahoma? The most popular types of Python Bioinformatics jobs in Oklahoma are:
What are popular job titles related to Full Time Python Bioinformatics jobs in Oklahoma? For Full Time Python Bioinformatics jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Full Time Python Bioinformatics jobs in Oklahoma look for? The top searched job categories for Full Time Python Bioinformatics jobs in Oklahoma are:
What cities in Oklahoma are hiring for Full Time Python Bioinformatics jobs? Cities in Oklahoma with the most Full Time Python Bioinformatics job openings:
Full Time Python Bioinformatics jobs near you
Research Scientist GS9392

Research Scientist GS9392

Oklahoma State University

Tulsa, OK • On-site

Full-time

Posted 5 days ago

Oklahoma State University rating

7.3

Company rating: 7.3 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

309th of 537 rated colleges and universities

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: 13 Feb 2026 Central Standard Time
Applications close:
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