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Transcriptomics Jobs in Seattle, WA (NOW HIRING)

Bioinformatics Analyst III

Seattle, WA ยท On-site +1

$105K - $130K/yr

Analyze multi-omics data from neuroimmunology projects, including but not limited to: spatial transcriptomics, scRNA-seq, proteomics, flow cytometry, and/or imaging * Work closely with cross ...

Bioinformatics Analyst III

Seattle, WA ยท On-site

$105K - $130K/yr

Analyze multi-omics data from neuroimmunology projects, including but not limited to: spatial transcriptomics, scRNA-seq, proteomics, flow cytometry, and/or imaging * Work closely with cross ...

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Transcriptomics information

See Seattle, WA salary details

$55.8K

$231.6K

$455.2K

How much do transcriptomics jobs pay per year?

As of Jul 17, 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.

Bioinformatics Analyst III

Bioinformatics Analyst III

Allen Institute

Seattle, WA โ€ข On-site, Remote

$105K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


Job description

Bioinformatics Analyst III - Neuroimmunology

The mission of the Allen Institute is to unlock the complexities of bioscience and advance our knowledge to improve human health. Using an open science, multi-scale, team-oriented approach, the Allen Institute focuses on accelerating foundational research, developing standards and models, and cultivating new ideas to make a broad, transformational impact on science.

The mission for the Immunology Accelerator is to advance the fundamental understanding of human immunology through the study of immune health and diseases where excessive or impaired immune responses drive pathological processes. The Institute will employ a multi-disciplinary team approach in collaboration with academic centers of human immunology to generate novel mechanistic insights into the immune synapse in health and in diseases such as autoimmunity or oncology. The Institute will simultaneously provide a foundational data set and tools for future immunological research as well as a novel collaboration portal for the broader scientific community.

The Immunology Accelerator team is seeking a Bioinformatics Analyst III to support the neuroimmune interaction program. The ideal candidate is a self-motivated team player who can work closely with investigators to analyze molecular omics data, implement and streamline in-house or open-source analysis pipelines for omics data, and provide solid bioinformatic support to Institute research projects.

At the Allen Institute, we believe that science is for everyone โ€“ and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly. We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment.

We are an equal-opportunity employer and strongly encourage people from all backgrounds to apply for our open positions.

Essential Functions

  • Analyze multi-omics data from neuroimmunology projects, including but not limited to: spatial transcriptomics, scRNA-seq, proteomics, flow cytometry, and/or imaging
  • Work closely with cross-functional teams to discover new insights in neuroimmunology, either as an independent contributor or as a project leader under minimal supervision
  • Contribute to a rigorously scientific, cohesive and efficient team environment

Required Education and Experience

  • Bachelorโ€™s degree in bioinformatics or related biological degree with demonstrated computational skillsets
  • 4 years of relevant experience; experience in clinical research or technology development or related discipline

Preferred Education and Experience

  • Masterโ€™s degree
  • 4 - 8+ yearsโ€™ experience in bioinformatics research or technology development
  • Experience in clinical research on autoimmune diseases or cancers
  • Track record of implementing analysis pipelines for omics data
  • Experience in literature mining and database query
  • Fluency in R, Python/Perl, linux operation system, and shell scripting
  • Familiar with single-cell technologies and literature
  • Experience in collaboration with web-lab scientists on technology development
  • Experience in molecular biology, high-throughput technologies, and immunology
  • Working knowledge of cloud computing and version control systems such as Git
  • Excellent written and verbal communication skills and organizational skills
  • Able to work independently as well as in a collaborative high paced environment under minimum supervision
  • The successful candidate must be self-motivated, a team player, attentive to details, and able to handle multiple projects simultaneously

Work Environment

  • May enter laboratory environment, including potential exposure to lasers, biohazards

Physical Demands

  • Fine motor movements in fingers/hands to operate computers and other office equipment; lab equipment
  • Working at a computer and using a mouse for extended periods of time

Position Type/Expected Hours of Work

  • Occasional evening and weekend hours may be required
  • This role is currently able to work both remotely and onsite in a hybrid work environment. We are a Washington State employer, and the primary work location for all Allen Institute employees is 615 Westlake Ave N.; any remote work must be performed in Washington State

Travel

  • Occasional travel may be required
  • Attendance and participation in national and international conferences may be required

Additional Comments

  • Please note, this opportunity may provide work visa sponsorship
  • Please note, this opportunity offers relocation assistance

Annualized Salary Range

  • $105,600 - $130,650 *

* Final salary depends on required education for the role, experience, and level of skills relevant to the role, along with work location, where applicable.

Benefits

  • Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Instituteโ€™s Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Instituteโ€™s 401k plan. Paid time off is also available as outlined in the Allen Institutes Benefits Guide. Details on the Allen Instituteโ€™s benefits offering are located at the following link to the Benefits Guide: https://alleninstitute.org/careers/benefits.

It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities.