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Spatial Transcriptomics Jobs in Seattle, WA (NOW HIRING)

Bioinformatics Analyst III

Seattle, WA · 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 · 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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Spatial Transcriptomics information

See Seattle, WA salary details

$55.8K

$231.6K

$455.2K

How much do spatial transcriptomics jobs pay per year?

As of Jul 14, 2026, the average yearly pay for spatial 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 is spatial transcriptomics?

Spatial transcriptomics is an advanced technique that allows scientists to measure gene expression within the spatial context of tissue samples. Unlike traditional RNA sequencing, which loses information about where each gene is expressed, spatial transcriptomics preserves the physical location of gene activity in tissues. This helps researchers better understand how cells function within their native environments and interact with neighboring cells, which is especially valuable in fields like cancer research, neuroscience, and developmental biology. The method combines microscopy, molecular biology, and computational analysis to produce detailed maps of gene expression.

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

Professionals in spatial transcriptomics often encounter challenges related to handling large, complex datasets and integrating spatial information with gene expression data. Ensuring high-quality sample preparation and mastering advanced imaging or sequencing technologies are also frequent hurdles. These challenges can be addressed by collaborating closely with multidisciplinary teams—including bioinformaticians, molecular biologists, and imaging specialists—and staying up-to-date with the latest software tools and protocols. Continuous learning and effective communication within the team are key to overcoming technical and analytical obstacles in this rapidly evolving field.

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

To thrive as a Spatial Transcriptomics Scientist, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by an advanced degree in a life science field. Familiarity with spatial transcriptomics platforms (such as 10x Genomics Visium), next-generation sequencing (NGS) technologies, and data analysis tools like R or Python is essential. Strong problem-solving skills, attention to detail, and effective communication are important soft skills for collaborating on interdisciplinary research projects. These skills and qualities are crucial for generating high-quality spatial gene expression data and translating findings into meaningful biological insights.
What job categories do people searching Spatial Transcriptomics jobs in Seattle, WA look for? The top searched job categories for Spatial Transcriptomics jobs in Seattle, WA are:
Infographic showing various Spatial Transcriptomics job openings in Seattle, WA as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 75% Physical, 1% Hybrid, and 24% Remote job distribution, with an average salary of $231,552 per year, or $111.3 per hour.

Immunology Senior Research Scientist - Flow Cytometry

Vrtx

Seattle, WA

$124K - $186K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


Job description

Job Description

Job Description

At Vertex, we invest in scientific innovation to create transformative medicines for people with serious diseases. Our growing Molecular Profiling team is seeking a Senior Scientist, Flow Cytometry to provide deep technical expertise in flow cytometry and cellular profiling to support discovery, translational, and development programs. This role will lead and drive the generation of high-dimensional insights into cell phenotype, function, and biology that help inform mechanism of action, biomarker strategies, patient stratification, and program decision-making.

The successful candidate will independently own cytometry workstreams across multiple programs and contribute to the scientific direction of molecular profiling efforts.

The ideal candidate is a highly motivated scientist with strong experience in multiparameter and high-dimensional flow cytometry (spectral flow), cell sorting, and immunophenotyping and a proven ability to thrive in a collaborative, fast-paced research environment.

Key Duties and Responsibilities

  • Design, develop, optimize, and execute flow cytometry-based assays to support research and translational objectives across discovery and development programs
  • Lead multicolor immunophenotyping panel design, including marker selection, fluorochrome strategy, controls, and advanced gating and data analysis approaches
  • Apply flow cytometry in conjunction with molecular profiling data to enable deeper characterization of cell states, pathway activity, target engagement, and disease-relevant biology
  • Partner with cross-functional teams to integrate cellular and molecular datasets, including transcriptomic, proteomic, and biomarker data, to support hypothesis generation and program strategy
  • Analyze and interpret complex flow cytometry data to support actionable biological insights, mechanism of action studies, and translational hypotheses
  • Establish and apply best practices for sample preparation, staining, acquisition, compensation, quality control, and data analysis
  • Troubleshoot technical issues and drive continuous improvement in assay robustness, reproducibility, and efficiency
  • Contribute to experimental design, study planning, and strategic program discussions and decision-making
  • Prepare technical documentation, protocols, study summaries, and presentations
  • Evaluate and implement emerging cytometry and profiling technologies, reagents, and workflows where appropriate
  • Mentor junior team members and serve as a scientific resource within the broader organization
  • Independently lead cytometry workstreams across multiple programs, ensuring alignment with program goals and timelines
  • Influence program decisions through data-driven insights and clear communication of complex biological findings

Knowledge and Skills

  • Deep expertise in flow cytometry principles, instrumentation, and assay development
  • Strong understanding of immune profiling, cellular phenotyping, and molecular profiling strategies
  • Experience connecting cell-based phenotypic data with broader molecular signatures and translational biomarkers
  • Experience designing and optimizing high-parameter or multicolor flow cytometry panels, including intracellular and phospho-flow analysis
  • Proficiency in flow cytometry analysis software such as FlowJo, Dotmatics or equivalent
  • Working knowledge of data analysis approaches and familiarity with R or Python-based workflows (preferred)
  • Strong scientific reasoning, data interpretation, and problem-solving skills
  • Ability to communicate complex technical findings clearly to technical and cross-functional stakeholders
  • Strong organizational skills and the ability to manage multiple priorities in a matrixed environment
  • Demonstrated ability to operate with a high degree of independence while contributing to team-based goals

Education and Experience

  • PhD in Immunology, Cell Biology, Molecular Biology, Biology, Biomedical Sciences, or related discipline with 2+ years of relevant experience; or
  • Master's degree with 6+ years of relevant experience; or
  • Bachelor's degree with 8+ years of relevant experience

Preferred Qualifications

  • Experience with primary human samples, including blood- or tissue-derived specimens
  • Familiarity with spectral flow cytometry and cell sorting (BD, Cytek, Sony platforms)
  • Experience working in environments where molecular profiling and cell-based assays are jointly used to answer translational questions
  • Experience in immunology and inflammation disease areas
  • Experience supporting translational research, biomarker strategies, or clinical development
  • Experience integrating cytometry data with single-cell genomics, spatial transcriptomics, or proteomics datasets

Pay Range:

$124,200 - $186,400

Disclosure Statement:

The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.

At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.

Flex Designation:

On-Site Designated

Flex Eligibility Status:

In this On-Site designated role, you will work five days per week on-site with ad hoc flexibility.

Note: The Flex status for this position is subject to Vertex's Policy on Flex @ Vertex Program and may be changed at any time.

#LI-Onsite

Company Information

Vertex is a global biotechnology company that invests in scientific innovation.

Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.

Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com