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Single Cell Rna Sequencing Phd Jobs in Seattle, WA

Doist

Director, GigaLab & Genomics Services

Seattle, WA · On-site

$190 - $225/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Provide technical oversight for genomics workflows, including NGS library preparation, single-cell sequencing, RNA sequencing, sequencing operations, and laboratory automation platforms. Troubleshoot ...

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Uw

Research Scientist/Engineer 3

Seattle, WA

A key focus includes cell type deconvolution, integration with single-cell RNA-seq reference data, identification of spatially variable genes, and pathway enrichment analysis. This position requires ...

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How much do single cell rna sequencing phd jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for single cell rna sequencing phd in Seattle, WA is $40.41, according to ZipRecruiter salary data. Most workers in this role earn between $33.08 and $45.96 per hour, depending on experience, location, and employer.

What is a single cell RNA sequencing PhD?

A Single Cell RNA Sequencing PhD is a doctoral degree focused on the study and application of single-cell RNA sequencing (scRNA-seq) technologies. This field involves analyzing the gene expression profiles of individual cells, allowing researchers to understand cellular heterogeneity and complex biological processes at a granular level. PhD students in this area typically conduct original research, develop computational methods, and advance our understanding of cell biology, disease mechanisms, and potential therapeutic targets. Graduates often pursue careers in academia, biotechnology, or pharmaceutical research.

What are the key skills and qualifications needed to thrive as a single cell RNA sequencing PhD, and why are they important?

To thrive as a Single Cell RNA Sequencing PhD, you need a strong background in molecular biology, bioinformatics, and genomics, typically supported by a PhD in a relevant field. Proficiency with single-cell sequencing platforms (e.g., 10x Genomics), next-generation sequencing (NGS) technologies, and computational analysis tools like R or Python is essential. Critical thinking, problem-solving, and effective communication are crucial soft skills for interpreting complex data and collaborating within multidisciplinary teams. These skills and qualifications are vital for designing robust experiments, analyzing high-dimensional data, and translating findings into impactful biological insights.

What are some common challenges faced by researchers in a single cell RNA sequencing PhD role, and how can they be addressed?

One of the main challenges in a Single Cell RNA Sequencing PhD role is managing and interpreting large, complex datasets generated from single-cell experiments. Researchers must be proficient in both wet-lab techniques and bioinformatics analysis, often requiring collaboration with computational biologists. Another challenge is ensuring sample quality and minimizing technical variability, which can significantly impact data reliability. Staying updated with rapidly evolving sequencing technologies and analytical tools is crucial, as is developing strong problem-solving skills to troubleshoot experimental or computational issues.

What is the difference between Single Cell Rna Sequencing Phd vs Single Cell Data Analyst?

AspectSingle Cell Rna Sequencing PhdSingle Cell Data Analyst
Required CredentialsPhD in Biology, Genetics, or related fieldBachelor's or Master's in Data Science, Biology, or related field
Work EnvironmentResearch labs, biotech companies, academic institutionsBiotech firms, research organizations, healthcare companies
Industry UsageDesigning experiments, interpreting sequencing data, publishing researchAnalyzing sequencing datasets, creating reports, data visualization

The Single Cell Rna Sequencing Phd typically involves designing experiments and interpreting complex sequencing data, requiring advanced research skills. In contrast, a Single Cell Data Analyst focuses on analyzing datasets, generating insights, and visualizing data, often with less emphasis on experimental design. Both roles are vital in the biotech industry but differ in their focus and required expertise.

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For Single Cell Rna Sequencing Phd jobs in Seattle, WA, the most frequently searched job titles are:

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The top searched job categories for Single Cell Rna Sequencing Phd jobs in Seattle, WA are:

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Single Cell Rna Sequencing Phd jobs near you
Infographic showing various Single Cell Rna Sequencing Phd job openings in Seattle, WA as of August 2026, with employment types broken down into 1% Locum Tenens, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $84,061 per year, or $40.4 per hour.

Immunology Senior Research Scientist - Spatial Transcriptomics

Vrtx

Seattle, WA

$124K - $186K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago

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

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