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Transcriptomics Jobs (NOW HIRING)

Valius Sciences

Computational Biologist

San Francisco, CA · On-site

$125K - $185K/yr

This coming year, we're on track to scale our patient volume significantly, all while bringing new diagnostic modalities (e.g., single-cell transcriptomics) and analytical approaches into clinical ...

Natera

Machine Learning Scientist, Multimodal AI

$124K - $171K/yr

This role develops and deploys deep learning models across digital pathology, genomics, transcriptomics, and cell-free DNA (cfDNA) modalities. You will build multimodal AI systems that integrate ...

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Transcriptomics information

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$49K

$203.5K

$400K

How much do transcriptomics jobs pay per year?

As of Jul 16, 2026, the average yearly pay for transcriptomics in the United States is $203,468.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $400,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Transcriptomics Scientist, and why are they important?

To thrive as a Transcriptomics Scientist, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by an advanced degree in a relevant field. Familiarity with next-generation sequencing (NGS) platforms, RNA-seq analysis pipelines, and programming languages like R or Python is essential. Attention to detail, problem-solving abilities, and effective communication skills set outstanding candidates apart. These competencies are vital for generating accurate transcriptomic data, interpreting complex results, and collaborating within multidisciplinary research teams.

What does transcriptomics do?

Transcriptomics is a field within molecular biology that studies the complete set of RNA transcripts produced by a genome under specific conditions. Professionals in this area analyze gene expression patterns using tools like RNA sequencing to understand cellular functions and disease mechanisms.

What biology jobs pay over $100k?

In the field of transcriptomics, roles such as senior research scientist, bioinformatics director, and molecular biology manager often have salaries exceeding $100,000 annually. These positions typically require advanced degrees, extensive experience, and skills in data analysis, programming, and laboratory techniques.

What is transcriptomics?

Transcriptomics is the study of the complete set of RNA transcripts produced by the genome under specific circumstances or in a specific cell. It provides insights into gene expression patterns, how genes are regulated, and how cells respond to various conditions. By analyzing the transcriptome, researchers can better understand biological processes, disease mechanisms, and identify potential targets for therapy. Technologies such as RNA sequencing (RNA-seq) are commonly used in transcriptomics research.

What are some common challenges faced by professionals working in transcriptomics, and how can they be addressed?

Professionals in transcriptomics frequently encounter challenges such as handling large and complex datasets, ensuring data quality, and staying current with rapidly evolving analytical tools and technologies. Working closely with bioinformaticians and statisticians is essential for effective data analysis and interpretation. Additionally, clear communication and collaboration with wet-lab biologists and clinicians help bridge the gap between raw data and meaningful biological insights. Regular training and professional development can help transcriptomics professionals stay updated with the latest best practices and software advancements.

What is the highest paying job in genetics?

In genetics, roles such as genetic counselors, research directors, and senior clinical geneticists tend to have the highest salaries, often exceeding six figures annually. Positions requiring advanced degrees, specialized skills, and leadership responsibilities typically offer the highest compensation in the field.

What is the highest paying job in bioinformatics?

In bioinformatics, senior roles such as bioinformatics directors, principal scientists, or lead data scientists tend to have the highest salaries, often exceeding $150,000 annually. These positions typically require advanced skills in programming, data analysis, and experience with large-scale genomic or transcriptomic data, along with leadership responsibilities.

What is the difference between Transcriptomics vs Bioinformatics?

AspectTranscriptomicsBioinformatics
Required credentialsBachelor's or Master's in Biology, Genetics, or related fields; experience with sequencing technologiesBachelor's or Master's in Computer Science, Bioinformatics, or related fields; programming skills
Work environmentLaboratories, research institutions, biotech companiesResearch labs, biotech firms, academic institutions, data analysis centers
Industry usageGenomics, molecular biology, medical researchData analysis, software development, computational biology

While both Transcriptomics and Bioinformatics involve analyzing biological data, Transcriptomics focuses on studying gene expression profiles using sequencing technologies, whereas Bioinformatics encompasses a broader range of computational methods to analyze various biological datasets. Professionals in both fields often collaborate but have distinct skill sets and work environments.

More about Transcriptomics jobs
What cities are hiring for Transcriptomics jobs? Cities with the most Transcriptomics job openings:
What states have the most Transcriptomics jobs? States with the most job openings for Transcriptomics jobs include:
What job categories do people searching Transcriptomics jobs look for? The top searched job categories for Transcriptomics jobs are:
Transcriptomics jobs near you
Infographic showing various Transcriptomics job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $203,468 per year, or $97.8 per hour.
Postdoctoral Research Associate

Postdoctoral Research Associate

University of Nebraska Medical Center

Omaha, NE • On-site

Full-time

Posted 8 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

52nd of 1,020 rated hospitals

Job description

Requisition Details
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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