обновлено 7 дней назад
Immunology Senior Research Scientist (Spatial Transcriptomics)
124 200 - 186 400$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Immunology Senior Research Scientist (Spatial Transcriptomics) (Spatial Transcriptomics/Immunology): Leading spatial transcriptomics studies to characterize disease-relevant tissues, cellular microenvironments, and therapeutic responses with an accent on tissue-based molecular profiling, assay optimization, and multimodal data integration. Focus on integrating spatial data with single-cell RNA-seq, proteomics, imaging, and histology, while developing reproducible workflows and translating findings into disease biology, biomarker, and drug-development strategies.
Location: Seattle, WA, United States; on-site five days per week
Base salary: $124,200–$186,400 per year, plus eligibility for an annual bonus and annual equity awards.
Company
Vertex is a global biotechnology company investing in scientific innovation to develop transformative medicines for serious diseases.
What you will do
- Lead the design, execution, and optimization of spatial transcriptomics studies in disease-relevant tissues and model systems.
- Characterize tissue architecture, cellular microenvironments, cell-cell interactions, and spatial organization.
- Generate and interpret spatial data to support disease biology, target biology, mechanisms of action, and biomarker strategies.
- Integrate spatial transcriptomics with single-cell RNA-seq, proteomics, imaging, histology, and other molecular profiling datasets.
- Develop and validate workflows for sample preparation, assay execution, quality control, data review, and reproducible spatial biology standards.
- Collaborate with disease biology, pharmacology, translational medicine, biomarker sciences, bioinformatics, and clinical development teams; mentor junior scientists and communicate technical findings.
Requirements
- PhD in immunology, cell biology, molecular biology, biology, biomedical sciences, or a related discipline with 2+ years of relevant experience; or a master’s degree with 6+ years; or a bachelor’s degree with 8+ years.
- Deep expertise in spatial transcriptomics and tissue-based molecular profiling, including transcriptomics, RNA biology, tissue architecture, and cellular heterogeneity.
- Experience with fresh frozen and FFPE tissue processing, tissue quality assessment, assay optimization, and spatial biology platforms.
- Experience integrating spatial data with single-cell, proteomic, imaging, and histologic datasets.
- Working knowledge of spatial data analysis, visualization, and interpretation using R and/or Python.
- Strong experimental rigor, problem-solving ability, communication skills, and effectiveness in a multidisciplinary matrixed environment.
Nice to have
- Hands-on experience with platforms such as 10x Genomics Visium, NanoString CosMx, or similar technologies.
- Experience with histology, immunofluorescence, image analysis, and multiplexed tissue profiling.
- Experience in drug discovery, translational research, or clinical biomarker development, particularly in immunology or inflammation.
- Familiarity with single-cell RNA-seq analysis, multi-omics integration, and spatial proteomics.
Culture & Benefits
- Continuous learning and support for adopting advances in AI, technology, and automation.
- Medical, dental, and vision benefits, generous paid time off, and week-long summer and winter company shutdowns.
- Educational assistance programs, including student loan repayment, and a commuting subsidy.
- Matching charitable donations, 401(k), annual bonus eligibility, and annual equity awards.
- Equal employment opportunity, non-discrimination, and reasonable workplace accommodations.
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