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Spatial Transcriptomics Jobs in Maryland (NOW HIRING)

Perform spatial transcriptomics using 10x Visium or similar technologies. * Sample processing and Biobanking. * Keep detailed records of experimental procedures. Qualifications: * Bachelor's degree ...

Genomics Technician

Rockville, MD · On-site

$80K - $90K/yr

Perform spatial transcriptomics using 10x Visium or similar technologies. * Sample processing and Biobanking. * Keep detailed records of experimental procedures. Qualifications: * Bachelor's degree ...

Perform spatial transcriptomics using 10x Visium or similar technologies. * Sample processing and Biobanking. * Keep detailed records of experimental procedures. Qualifications: * Bachelor's degree ...

Spatial Transcriptomics information

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 cities in Maryland are hiring for Spatial Transcriptomics jobs? Cities in Maryland with the most Spatial Transcriptomics job openings:
Infographic showing various Spatial Transcriptomics job openings in Maryland as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 27% Full Time, 67% Part Time, 3% Contract, and 1% Nights. Highlights an 73% Physical, 1% Hybrid, and 26% Remote job distribution.
Postdoctoral Fellow in Precision Medicine Translational Research

Postdoctoral Fellow in Precision Medicine Translational Research

Johns Hopkins University

Baltimore, MD • On-site

$48K - $66K/yr

Full-time

Posted 21 days ago


Johns Hopkins Medicine rating

7.5

Company rating: 7.5 out of 10

Based on 202 frontline employees who took The Breakroom Quiz

226th of 875 rated healthcare providers


Job description

Description
The Johns Hopkins Division of Rheumatology is recruiting an MD, PhD, or MD/PhD Postdoctoral Fellow to join a high-impact translational research program focused on developing noninvasive precision medicine tools ("liquid biopsy") for systemic lupus erythematosus, lupus nephritis, and related autoimmune diseases. This work addresses several unmet needs in the field, including the disconnect between clinical measures and true disease activity, as well as the lack of data-driven treatment decisions.
The program integrates noninvasive urine and serum proteomics with spatial transcriptomics and tissue-based multi-omics in well-characterized longitudinal studies to define disease mechanisms and enable earlier, more precise treatment decisions.
Position Overview
• Identify and validate molecular biomarkers that reflect intrarenal disease activity, predict outcomes, and capture early treatment response
• Develop urine-based 'liquid biopsy' approaches for noninvasive disease monitoring
• Design and analyze spatial transcriptomic datasets to define intrarenal immune and stromal cell states
• Integrate multi-omics data (proteomics, transcriptomics, immune profiling) with clinical outcomes
• Build risk prediction models and precision medicine algorithms
• Lead manuscripts, abstracts, and independent research projects
Qualifications
Eligibility Requirements:
Due to T32 funding requirements, applicants must be U.S. citizens, noncitizen nationals, or permanent U.S. residents.
Required Qualifications
• MD, PhD, or MD/PhD in a clinical or biomedical science discipline.
• Strong interest in biomarker discovery and translational research.
• Experience integrating molecular and clinical data is highly desirable.
• Excellent scientific writing and communication skills.

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