The ideal candidate will bring deep expertise in spatial transcriptomics, tissue-based molecular profiling, experimental design, and data interpretation, along with strong cross-functional ...
The ideal candidate will bring deep expertise in spatial transcriptomics, tissue-based molecular profiling, experimental design, and data interpretation, along with strong cross-functional ...
Immunology Senior Research Scientist - Spatial Transcriptomics
Seattle, WA · On-site
$124K - $186K/yr
The ideal candidate will bring deep expertise in spatial transcriptomics, tissue-based molecular profiling, experimental design, and data interpretation, along with strong cross-functional ...
Immunology Senior Research Scientist - Spatial Transcriptomics
Seattle, WA · On-site
$124K - $186K/yr
The ideal candidate will bring deep expertise in spatial transcriptomics, tissue-based molecular profiling, experimental design, and data interpretation, along with strong cross-functional ...
This position is engaged in the field of Spatial transcriptomics and bioinformatics. This position supports the analysis of spatial transcriptomic data generated from kidney biopsy tissue using 10x ...
This position is engaged in the field of Spatial transcriptomics and bioinformatics. This position supports the analysis of spatial transcriptomic data generated from kidney biopsy tissue using 10x ...
Research Scientist/Engineer 3
Seattle, WA · On-site
This position is engaged in the field of Spatial transcriptomics and bioinformatics. This position supports the analysis of spatial transcriptomic data generated from kidney biopsy tissue using 10x ...
Research Scientist/Engineer 3
Seattle, WA · On-site
This position is engaged in the field of Spatial transcriptomics and bioinformatics. This position supports the analysis of spatial transcriptomic data generated from kidney biopsy tissue using 10x ...
The candidate will focus on designing and performing high-throughput transcriptomics and connectomics experiments and analyzing large-scale datasets to reveal principles in brain wiring. In addition ...
The candidate will focus on designing and performing high-throughput transcriptomics and connectomics experiments and analyzing large-scale datasets to reveal principles in brain wiring. In addition ...
The candidate will focus on designing and performing high-throughput transcriptomics and connectomics experiments and analyzing large-scale datasets to reveal principles in brain wiring. In addition ...
The candidate will focus on designing and performing high-throughput transcriptomics and connectomics experiments and analyzing large-scale datasets to reveal principles in brain wiring. In addition ...
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 ...
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 ...
Director-Head of Molecular Profiling
Seattle, WA · On-site
$203K - $304K/yr
Proven expertise in spatial transcriptomics, CYTOF, single-cell sequencing, and proteomics. * Demonstrated experience in complex data analysis, including the application of AI/ML methods to derive ...
Director-Head of Molecular Profiling
Seattle, WA · On-site
$203K - $304K/yr
Proven expertise in spatial transcriptomics, CYTOF, single-cell sequencing, and proteomics. * Demonstrated experience in complex data analysis, including the application of AI/ML methods to derive ...
Director-Head of Molecular Profiling
$203K - $304K/yr
Proven expertise in spatial transcriptomics, CYTOF, single-cell sequencing, and proteomics. * Demonstrated experience in complex data analysis, including the application of AI/ML methods to derive ...
Director-Head of Molecular Profiling
$203K - $304K/yr
Proven expertise in spatial transcriptomics, CYTOF, single-cell sequencing, and proteomics. * Demonstrated experience in complex data analysis, including the application of AI/ML methods to derive ...
Senior Researcher - Machine Learning for Life Sciences - Microsoft Research
Redmond, WA · On-site
$110K - $140K/yr
Preferred : • Experience creating and using generative AI or other ML techniques in the life sciences. • Experience working with biological data (e.g., genomics, transcriptomics, proteomics ...
Senior Researcher - Machine Learning for Life Sciences - Microsoft Research
Redmond, WA · On-site
$110K - $140K/yr
Preferred : • Experience creating and using generative AI or other ML techniques in the life sciences. • Experience working with biological data (e.g., genomics, transcriptomics, proteomics ...
Research Scientist/Engineer 1
Seattle, WA · On-site
They are seeking a Research Scientist/Engineer 1 to contribute to computational biology projects, focusing on developing pipelines for spatial transcriptomics and related analyses. Responsibilities ...
Research Scientist/Engineer 1
Seattle, WA · On-site
They are seeking a Research Scientist/Engineer 1 to contribute to computational biology projects, focusing on developing pipelines for spatial transcriptomics and related analyses. Responsibilities ...
Postdoctoral Research Associate
$80K - $83K/yr
Experience with bioinformatics-based analysis of transcriptomics and epigenetics datasets is preferable but not essential. Applicants with good organizational and analytical skills are encouraged to ...
Postdoctoral Research Associate
$80K - $83K/yr
Experience with bioinformatics-based analysis of transcriptomics and epigenetics datasets is preferable but not essential. Applicants with good organizational and analytical skills are encouraged to ...
Postdoctoral Research Associate
$80K - $83K/yr
Experience with bioinformatics-based analysis of transcriptomics and epigenetics datasets is preferable but not essential. Applicants with good organizational and analytical skills are encouraged to ...
Postdoctoral Research Associate
$80K - $83K/yr
Experience with bioinformatics-based analysis of transcriptomics and epigenetics datasets is preferable but not essential. Applicants with good organizational and analytical skills are encouraged to ...
Postdoctoral Research Associate
Seattle, WA · On-site
$80K - $83K/yr
Experience with bioinformatics-based analysis of transcriptomics and epigenetics datasets is preferable but not essential. Applicants with good organizational and analytical skills are encouraged to ...
Postdoctoral Research Associate
Seattle, WA · On-site
$80K - $83K/yr
Experience with bioinformatics-based analysis of transcriptomics and epigenetics datasets is preferable but not essential. Applicants with good organizational and analytical skills are encouraged to ...
Postdoctoral Scholar, Radiation Oncology, Cancer Biology and FLASH/Ultra-High Dose Rate Radiotherapy
Seattle, WA · On-site
$75K - $83K/yr
The postdoctoral scholar will have access to state-of-the-art irradiation platforms, including FLASH/UHDR-RT capabilities, advanced imaging, spatial transcriptomics, radiomics, and digital histology ...
Postdoctoral Scholar, Radiation Oncology, Cancer Biology and FLASH/Ultra-High Dose Rate Radiotherapy
Seattle, WA · On-site
$75K - $83K/yr
The postdoctoral scholar will have access to state-of-the-art irradiation platforms, including FLASH/UHDR-RT capabilities, advanced imaging, spatial transcriptomics, radiomics, and digital histology ...
Immunology Senior Research Scientist - Flow Cytometry
$124K - $186K/yr
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 ...
Immunology Senior Research Scientist - Flow Cytometry
$124K - $186K/yr
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 ...
Computational biology/bioinformatics with emphasis on spatial transcriptomics, proteomics, and immunosequencing using Pixelseq and an immune receptorfocused multimodal expansion ("ImmunoPixelseq"
Computational biology/bioinformatics with emphasis on spatial transcriptomics, proteomics, and immunosequencing using Pixelseq and an immune receptorfocused multimodal expansion ("ImmunoPixelseq"
Immunology Senior Research Scientist - Flow Cytometry
Seattle, WA · On-site
$124K - $186K/yr
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 ...
Immunology Senior Research Scientist - Flow Cytometry
Seattle, WA · On-site
$124K - $186K/yr
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 ...
Research Scientist/Engineer 1
Seattle, WA · On-site
$70K/yr
Computational biology/bioinformatics with emphasis on spatial transcriptomics, proteomics, and immunosequencing using Pixel-seq and an immune receptor-focused multimodal expansion ("ImmunoPixel-seq"
Research Scientist/Engineer 1
Seattle, WA · On-site
$70K/yr
Computational biology/bioinformatics with emphasis on spatial transcriptomics, proteomics, and immunosequencing using Pixel-seq and an immune receptor-focused multimodal expansion ("ImmunoPixel-seq"
Working closely with experts in neuropathology, spatial transcriptomics, and computational analysis, the Scientist will help advance high-resolution molecular atlases of the human nervous system in ...
Working closely with experts in neuropathology, spatial transcriptomics, and computational analysis, the Scientist will help advance high-resolution molecular atlases of the human nervous system in ...
Transcriptomics information
See Seattle, WA salary details
$78K is the 25th percentile. Wages below this are outliers.
$55.8K - $92.1K
41% of jobs
The median wage is $107.6K / yr.
$92.1K - $128.4K
21% of jobs
$128.4K - $164.7K
12% of jobs
$165.5K is the 75th percentile. Wages above this are outliers.
$164.7K - $201K
24% of jobs
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1% of jobs
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$55.8K
$231.6K
$455.2K
How much do transcriptomics jobs pay per year?
What are the key skills and qualifications needed to thrive as a transcriptomics scientist, and why are they important?
What is transcriptomics?
What are some common challenges faced by professionals working in transcriptomics, and how can they be addressed?
What is the difference between Transcriptomics vs Bioinformatics?
| Aspect | Transcriptomics | Bioinformatics |
|---|---|---|
| Required credentials | Bachelor's or Master's in Biology, Genetics, or related fields; experience with sequencing technologies | Bachelor's or Master's in Computer Science, Bioinformatics, or related fields; programming skills |
| Work environment | Laboratories, research institutions, biotech companies | Research labs, biotech firms, academic institutions, data analysis centers |
| Industry usage | Genomics, molecular biology, medical research | Data 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.

$124K - $186K/yr
Full-time
Medical, Dental, Vision, Retirement, PTO
Posted 29 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 - $186,400Disclosure 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 DesignatedFlex 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