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Transcriptomics information

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$55.8K

$231.6K

$455.2K

How much do transcriptomics jobs pay per year?

As of Jul 16, 2026, the average yearly pay for transcriptomics in Seattle, WA is $231,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,300.00 and $455,200.00 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.

What are popular job titles related to Transcriptomics jobs in Seattle, WA? For Transcriptomics jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Transcriptomics jobs in Seattle, WA look for? The top searched job categories for Transcriptomics jobs in Seattle, WA are:
Transcriptomics jobs near you
Post-Doctoral Research Fellow

Post-Doctoral Research Fellow

Fred Hutchinson Cancer Research Center

Seattle, WA

$80K - $95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

Job description

Overview

Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington.

With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world's leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world's deadliest diseases and make life beyond cancer a reality.

At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems.

A new Post-Doctoral Research Fellow position is available in Andrew Fiore-Gartland's group in Biostatistics, Bioinformatics and Epidemiology (BBE) within VIDD at Fred Hutch in Seattle, WA. The group works on multiple projects investigating the immunological correlates of protection for novel tuberculosis vaccine candidates. Understanding the factors that impact vaccine response and identifying the features of the immune response that confer protection can provide critical feedback for vaccine development. As part of the HIV Vaccine Trials Network supported by the NIH Division of AIDS and the Vaccine & Immunology Statistical Center (VISC), supported by the Gates Foundation we are leading major computational efforts to integrate immunological datasets generated from human clinical trials.

Cover letters are highly desired from applicants. Please address to Dr. Andrew Fiore-Gartland and include a short statement of research interests.

Responsibilities

Research will focus on development and application of methods, algorithms and tools for biostatistics and computational biology. A primary goal will be integration of single-cell and/or high-dimensional datasets measured from the same individuals, to address the dual goal of generating biological insights and developing novel biomarkers from human clinical trials. Analysis datasets include those generated by multicolor flow cytometry, transcriptomics/RNAseq, T cell receptor repertoire sequencing, single-cell/CITE-seq/ATAC-seq, and multiplexed systems serology, among others. With this data we have the potential to understand the immunological mechanisms of vaccines and to accelerate efforts to improve their efficacy and get them to the clinic.

Qualifications

MINIMUM QUALIFICATIONS:

  • PhD (or equivalent) in biology, applied mathematics, statistics, computer science or related field.
  • A proven track-record of peer reviewed publications, and programming experience in Python or R.
  • An appetite to understand and analyze new types of data, and a commitment to scientific rigor.

PREFERRED QUALIFICATIONS:

  • Publication demonstrating development or enhancement of statistical or bioinformatic tool or software (provide publication and github links).

Cover letters are highly desired from applicants. Please address to Dr. Andrew Fiore-Gartland and include a short statement of research interests.

The annual base salary range for this position is from $80,172 to $95,014, and pay offered will be based on experience and qualifications. This position may be eligible for relocation assistance.Although Fred Hutch is not sponsoring most H-1B visas at this time, candidates who already hold an H-1B sponsored by another organization and are currently in the U.S. may be eligible for this position.Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, income-based child care subsidy, tuition reimbursement, paid vacation (22 days per year), paid sick leave (up to 30 calendar days per occurrence of a qualifying reason), paid holidays (13 days per year), and paid parental leave (up to 4 weeks).

Additional InformationWe are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at hrops@fredhutch.org or by calling 206-667-4700.Employment Type: FULL_TIME

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