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Full Time Omics Jobs (NOW HIRING)

Vivodyne

Senior Bioinformatician

San Francisco, CA · On-site

We are expanding our capabilities to generate high-throughput -omics data across automated human ... This is a full-time, onsite role in San Francisco. Responsibilities Develop and Own Analytical ...

Vivodyne

Senior Bioinformatician

San Francisco, CA

We are expanding our capabilities to generate high-throughput -omics data across automated human ... This is a full-time, onsite role in San Francisco. Responsibilities Develop and Own Analytical ...

University of Michigan

RESEARCH FELLOW

Ann Arbor, MI · On-site

Biological mechanisms are studied through multi-omics techniques, and protein knock-down techniques ... Full-Time Regular/Temporary Regular FLSA Status Exempt Organizational Group College Pharmacy ...

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Full Time Omics information

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$54.5K

$96.2K

$139K

How much do full time omics jobs pay per year?

As of Aug 23, 2026, the average yearly pay for full time omics in the United States is $96,169.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,000.00 and $109,500.00 per year, depending on experience, location, and employer.

What is a full time omics job?

Full time omics jobs refer to positions where professionals work exclusively in fields related to omics sciences, such as genomics, proteomics, metabolomics, or transcriptomics. These roles typically involve analyzing large-scale biological data to understand how genes, proteins, and other molecules influence health and disease. Full-time omics professionals may work in research institutions, biotech companies, or healthcare organizations, contributing to scientific discoveries, drug development, and personalized medicine. The work often requires expertise in bioinformatics, laboratory techniques, and data analysis.

What are the key skills and qualifications needed to thrive as a full time omics scientist?

To thrive as a Full Time Omics Scientist, you need a solid background in molecular biology, genomics, or related fields, typically supported by a relevant advanced degree. Proficiency in bioinformatics tools, high-throughput sequencing platforms, and data analysis software such as R or Python is essential. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and collaborate with interdisciplinary teams. These skills are crucial to producing accurate scientific insights and advancing research or clinical applications in genomics and related disciplines.

What are some typical challenges faced by professionals in full time omics roles and how can they be addressed?

Professionals in full-time omics roles often encounter challenges such as managing and analyzing vast amounts of complex biological data, integrating multi-omics datasets, and staying current with rapidly evolving technologies. These challenges can be addressed by collaborating closely with bioinformaticians and statisticians, leveraging advanced computational tools, and continuously updating one's skills through professional development. Additionally, being part of interdisciplinary teams helps in sharing knowledge and finding innovative solutions to complex biological questions.

What is the difference between Full Time Omics vs Full Time Bioinformatics Technician?

AspectFull Time OmicsFull Time Bioinformatics Technician
Required CredentialsBachelor's or Master's in Biology, Genetics, or related field; experience with omics technologiesBachelor's in Bioinformatics, Biology, or related; familiarity with bioinformatics tools
Work EnvironmentLaboratories, research institutions, biotech companiesResearch labs, biotech firms, academic institutions
Industry UsageUsed broadly in genomics, proteomics, metabolomics researchPrimarily in data analysis and computational support roles

Full Time Omics roles focus on experimental work involving high-throughput technologies, while Full Time Bioinformatics Technicians primarily handle data analysis and computational tasks. Both roles require relevant scientific credentials and are common in research settings, but Omics positions often involve laboratory work, whereas Bioinformatics Technicians focus on data processing and software tools.

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What cities are hiring for Full Time Omics jobs?

Cities with the most Full Time Omics job openings:

What are the most commonly searched types of Omics jobs?

The most popular types of Omics jobs are:

What states have the most Full Time Omics jobs?

States with the most job openings for Full Time Omics jobs include:

What job categories do people searching Full Time Omics jobs look for?

The top searched job categories for Full Time Omics jobs are:

Full Time Omics jobs near you
Infographic showing various Full Time Omics job openings in the United States as of August 2026, with employment types broken down into 62% Full Time, 37% Part Time, and 1% Contract. Highlights an 51% Physical, 2% Hybrid, and 47% Remote job distribution, with an average salary of $96,169 per year, or $46.2 per hour.

Postdoctoral Research Associate

University of Nebraska Medical Center

Omaha, NE • On-site

Full-time

Re-posted 17 days ago

University Of Nebraska Medical Center rating

8.5

Company rating: 8.5 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

55th of 1,062 rated hospitals

Job description

GENERAL REQUISITION INFORMATION
EEO Statement:
UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals with disabilities.
Location Omaha, NE Requisition Number: 2026 - 264 Department Genetics Cell Biology & Anatomy 50000507 Business Unit(College/Institute) College of Medicine FTE:
100
Reg-Temp Full-Time Regular Work Schedule 8:00 am - 5:00 pm Requisition Category Research - Academic Requisition Title Postdoctoral Research Associate Job Title/Academic Rank Postdoctoral Research Associate Additional Requisition Title Appointment Type A1 - REG OTHER ACAD SAL Salary Range Salary Commensurate with Experience Job/EEO Category Professional Non-Faculty (Includes Other Academic) Job Requisition Begin Date 06/25/2026
Position Qualification
Position Summary
Developing and/or applying artificial intelligence, machine learning and/or data science-based methods to address cutting-edge topics, including but not limited to, large language models and foundation models, single cell analysis, spatial transcriptomics, multi-omics analysis, cancer research, intelligent healthcare, and precision medicine.
Required Qualifications
The prospective postdocs should have a PhD degree in a related field, and have research experience in artificial intelligence, machine learning, bioinformatics, and computational biology. A strong programming capability is necessary.
Supplemental Qualifications
Preferences will be given to those who have research experience in large language models (LLMs)/foundation models (FMs), single-cell analysis, multi-omics analysis, spatial transcriptomics, cancer research, intelligent healthcare, or precision medicine.

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