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Transcriptomics Jobs (NOW HIRING)

Integrate data across multiple experimental modalities (transcriptomics, imaging, protein measurements) to build a coherent picture of biology and prioritize therapeutic hypotheses. * Partner with ...

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 15, 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:
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 Associate- Neurophysiology/Transcriptomics

Postdoctoral Associate- Neurophysiology/Transcriptomics

Baylor College of Medicine

Houston, TX • On-site

$70K/yr

Full-time

Re-posted 2 days ago


Baylor College of Medicine rating

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Company rating: 8.6 out of 10

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Job description

Postdoctoral Associate- Neurophysiology/Transcriptomics
Division: TCH Departments
Work Arrangement: Onsite only
Location: Houston, TX
Salary Range: Hiring up to $70,000
FLSA Status: Exempt
Work Schedule: Monday - Friday, 8 a.m. - 5 p.m.
Summary
A postdoctoral associate position is available in the NIH-funded laboratory of Dr. Hsiao-Tuan Chao at the Jan and Dan Duncan Neurological Research Institute, which is affiliated with Baylor College of Medicine and Texas Children's Hospital. We are seeking a highly motivated research scientist to join our team engaged in basic and translational neuroscience and genetics research. Our laboratory focuses on understanding neural circuit development and function, inhibitory neurobiology, cerebellar neural circuits, and synaptic function in neurodevelopmental and neurodegenerative disorders such as epilepsy, autism, ataxia, and leukoencephalopathies. We utilize multiple approaches including fruit fly and mouse models, genomic sequencing for disease gene discovery, state-of-the art imaging, transcriptomics, electrophysiology, molecular biology, molecular genetics, and behavioral techniques.
On-going projects address fundamental questions about the transcriptional regulation of inhibitory neuronal development and function in neural circuits, the role of cerebellar circuit dysfunction, and disrupted gene regulatory networks in neurologic disorders. This is an exciting opportunity to work at the interface of basic neuroscience and genetics research with translational potential in a highly collaborative and stimulating environment located in the nation's largest research and medical center - Texas Medical Center.
Job Duties
  • Plans, directs and conducts specialized and advanced research experiments.
  • Evaluates and analyzes data.
  • Establishes new research protocols and procedures.
  • Summarizes research findings and publish results in research journals. •
  • Maintains laboratory operations.
  • Supervises research staff.

Minimum Qualifications
  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.

Preferred Qualifications
  • Strong foundation and publication record in neuroscience, genetics, neurophysiology, transcriptomics, or developmental biology.
  • Candidate needs to have one of the three following areas of expertise: (1) electrophysiology and neural circuit analysis, (2) transcriptomics and sequencing approaches, or (3) developmental neurobiology.
  • Prior experience in hiPSC models or genetic model organisms (mouse or fruit fly), and neuroscience research preferred.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
PD; SN
Requisition ID: 23596

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