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Spatial Transcriptomics Omics Jobs in Seattle, WA

Computational biology/bioinformatics with emphasis on spatial transcriptomics, proteomics, and ... UMI handling; QC with MultiQC; alignment/quantification to reference. 3. Spatial omics: Pixelseq ...

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 ...

Spatial Transcriptomics Omics information

See Seattle, WA salary details

$55.8K

$231.6K

$455.2K

How much do spatial transcriptomics omics jobs pay per year?

As of Jul 14, 2026, the average yearly pay for spatial transcriptomics omics 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 Spatial Transcriptomics Specialist, and why are they important?

To thrive as a Spatial Transcriptomics Specialist, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by an advanced degree in a relevant field. Familiarity with high-throughput sequencing platforms, spatial omics technologies, and data analysis tools like R or Python is essential, along with experience using laboratory automation systems. Attention to detail, problem-solving abilities, and effective interdisciplinary communication are crucial soft skills for this role. These skills ensure accurate experimental design, robust data interpretation, and successful collaboration in cutting-edge biological research.

What is the difference between Spatial Transcriptomics Omics vs Spatial Transcriptomics Technician?

AspectSpatial Transcriptomics OmicsSpatial Transcriptomics Technician
Required CredentialsAdvanced degrees (Master's/PhD) in molecular biology, genomics, or related fieldsAssociate's or Bachelor's degree in biology, biotechnology, or related fields
Work EnvironmentResearch labs, biotech companies, academic institutionsLaboratories, research facilities, biotech companies
Industry UsageResearch and development, data analysis, method developmentSample preparation, data collection, equipment operation

Spatial Transcriptomics Omics professionals focus on data analysis, method development, and research, often requiring advanced degrees. In contrast, Spatial Transcriptomics Technicians handle sample preparation and operate equipment, typically with a technical diploma or bachelor's degree. Both roles are essential in the spatial transcriptomics industry but differ in responsibilities and qualifications.

What are some common challenges faced by professionals in Spatial Transcriptomics Omics, and how can they be addressed?

Professionals working in Spatial Transcriptomics Omics often encounter challenges such as managing and interpreting large, complex datasets, integrating multi-omics data, and keeping pace with rapidly evolving technologies. Effective collaboration with bioinformaticians, pathologists, and laboratory technicians is essential to ensure high-quality results. Staying updated with the latest analytical tools and participating in cross-disciplinary training can help overcome these challenges and enhance both research quality and career growth.

What is spatial transcriptomics in omics research?

Spatial transcriptomics is a cutting-edge technology in the field of omics that allows researchers to measure and map gene expression within the spatial context of intact tissue sections. This means scientists can see which genes are active in specific locations of a tissue, preserving the spatial relationships between cells. By combining spatial information with transcriptomic data, researchers gain deeper insights into tissue organization, cellular interactions, and disease mechanisms. This approach is especially valuable for understanding complex tissues like tumors or brain structures.
What are popular job titles related to Spatial Transcriptomics Omics jobs in Seattle, WA? For Spatial Transcriptomics Omics jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Spatial Transcriptomics Omics jobs in Seattle, WA look for? The top searched job categories for Spatial Transcriptomics Omics jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Spatial Transcriptomics Omics jobs? Cities near Seattle, WA with the most Spatial Transcriptomics Omics job openings:
Infographic showing various Spatial Transcriptomics Omics job openings in Seattle, WA as of July 2026, with employment types broken down into 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, 2% Contract, and 4% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $231,552 per year, or $111.3 per hour.
Immunology Senior Research Scientist - Spatial Transcriptomics

Immunology Senior Research Scientist - Spatial Transcriptomics

Vertex Pharmaceuticals

Seattle, WA โ€ข On-site

$124K - $186K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

New


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, Spatial Transcriptomics to provide scientific and deep technical expertise in spatial biology to support discovery, translational, and development programs. This role will be instrumental in driving mechanistic insights into disease biology, tissue microenvironments, and therapeutic response through spatial profiling of gene expression in tissue context.
The ideal candidate will bring deep expertise in spatial transcriptomics, tissue-based molecular profiling, experimental design, and data interpretation, along with strong cross-functional collaboration skills and a passion for technical innovation.
Key Duties and Responsibilities:
  • Lead the design, execution, and optimization of spatial transcriptomics studies to address key biological questions in disease-relevant tissues and model systems
  • Lead efforts to characterize tissue architecture, cellular microenvironments, cell-cell interactions, and spatial organization of biological processes
  • Generate and interpret high-quality spatial data to derive biological insights that support disease biology, target biology, mechanism of action, and biomarker strategies
  • Integrate spatial transcriptomics data with complementary datasets, including single-cell RNA-seq, proteomics, imaging, histology, and other molecular profiling approaches to enable multi-modal biological insights
  • Develop, validate, and implement robust workflows for sample preparation, assay execution, quality control, and data review
  • Evaluate and apply emerging spatial biology technologies to expand research capabilities and enable innovative scientific applications
  • Drive adoption of best practices and contribute to establishing robust spatial biology workflows and standards across the team
  • Partner closely with cross-functional teams across disease biology, pharmacology, translational medicine, biomarker sciences, bioinformatics, and clinical development to inform study design, data interpretation, and program strategy
  • Contribute to internal scientific strategy through clear communication of results, technical recommendations, and experimental insights
  • Prepare technical documentation, protocols, study summaries, and presentations
  • Mentor junior scientists and help build a collaborative, high-performing team environment

Knowledge and Skills:
  • Deep expertise in spatial transcriptomics and tissue-based molecular profiling
  • Strong understanding of transcriptomics, RNA biology, tissue architecture, and cellular heterogeneity
  • Experience with fresh frozen and FFPE tissue processing, tissue quality assessment, and assay optimization
  • Familiarity with one or more spatial biology platforms, including sequencing-based and imaging-based technologies
  • Experience integrating spatial data with single-cell, proteomic, imaging, and histologic datasets
  • Working knowledge of computational approaches for spatial data analysis, visualization, and interpretation, including proficiency in R and/or Python and familiarity with relevant analysis tools and workflows
  • Strong experimental rigor, problem-solving ability, and attention to data quality and reproducibility
  • Excellent communication skills and ability to work effectively in a matrixed, multidisciplinary environment

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:
  • Hands-on experience with one or more spatial transcriptomics platforms (e.g., sequencing-based or imaging-based such as 10x Genomics Visium, Nanostring CosMx or similar technologies)
  • Experience with histology, immunofluorescence, image analysis, and multiplexed tissue profiling
  • Experience supporting drug discovery, translational research, or clinical biomarker development, ideally in immunology or inflammation
  • Familiarity with single-cell RNA-seq analysis and integration of multi-omics datasets
  • Experience in immunology and inflammation disease areas
  • Knowledge of spatial proteomics or broader tissue-based profiling approaches

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