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Manager Genomics Jobs in Tulsa, OK (NOW HIRING)

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Manager Genomics information

See Tulsa, OK salary details

$21K

$56K

$93.6K

How much do manager genomics jobs pay per year?

As of Aug 30, 2026, the average yearly pay for manager genomics in Tulsa, OK is $56,036.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,200.00 and $63,000.00 per year, depending on experience, location, and employer.

What is a Manager Genomics?

A Manager Genomics is a professional who oversees teams and projects involved in the analysis, interpretation, and application of genomic data. They are responsible for managing laboratory operations, ensuring data quality, coordinating research initiatives, and facilitating collaboration between scientists, clinicians, and bioinformaticians. In addition to technical expertise in genomics, this role requires strong leadership, project management, and communication skills to drive successful outcomes in research or clinical settings.

What are some common challenges faced by a manager in genomics, and how can they be addressed?

Managers in genomics often face challenges such as balancing rapidly evolving technologies with resource constraints, ensuring data accuracy and security, and leading diverse interdisciplinary teams. Staying updated with the latest advancements while aligning them with organizational goals requires continuous learning and adaptability. Effective communication and collaboration with bioinformaticians, laboratory staff, and external partners are crucial for successful project outcomes. Proactively fostering a culture of collaboration and professional development helps address these challenges and ensures the team remains innovative and productive.

What are the key skills and qualifications needed to thrive as a manager in genomics, and why are they important?

To thrive as a Manager Genomics, you need a strong background in molecular biology or genetics, advanced degrees (such as a PhD or MSc), and experience in genomics research or clinical genomics. Familiarity with next-generation sequencing (NGS) platforms, bioinformatics tools, laboratory information management systems (LIMS), and relevant certifications are typically required. Leadership, project management, and effective communication are vital soft skills for coordinating teams and bridging scientific and operational needs. These skills ensure rigorous scientific outcomes, efficient workflow management, and successful collaboration across multidisciplinary teams.

What is the difference between Manager Genomics vs Laboratory Supervisor?

AspectManager GenomicsLaboratory Supervisor
CredentialsBachelor's or Master's in Genetics, Molecular Biology, or related fields; often requires experience in genomicsBachelor's degree in Life Sciences or related field; laboratory experience
Work EnvironmentResearch labs, biotech companies, academic institutionsClinical or research laboratories, biotech firms
Employer & IndustryBiotech, pharmaceutical, research institutionsHospitals, research labs, biotech companies
Primary FocusOverseeing genomics projects, data analysis, team managementManaging daily lab operations, supervising technicians, ensuring compliance

While both roles involve laboratory work, a Manager Genomics focuses on leading genomics research projects and data analysis, whereas a Laboratory Supervisor manages daily lab operations and staff. The Manager Genomics typically requires advanced knowledge of genomics techniques, while the Laboratory Supervisor emphasizes operational oversight.

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

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

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

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

What cities near Tulsa, OK are hiring for Manager Genomics jobs?

Cities near Tulsa, OK with the most Manager Genomics job openings:

Manager Genomics jobs near you

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 18 days 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

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