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Transcriptomics Jobs in Maryland (NOW HIRING)

Conducting fruit transcriptomics (RNA-seq) and targeted gene expression analysis (qRT-PCR). 4.Developing, performing, and/or monitoring sampling, storage and extraction procedures for biochemical ...

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 ...

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 ...

Bioinformatics Scientist

Bethesda, MD · On-site

$65K - $108K/yr

Provide scientific mentorship and guidance to students, postdoctoral fellows, technicians, and other staff in developing bioinformatics pipelines, particularly for spatial transcriptomics ...

You will support the full omics data lifecycle across a broad spectrum of modalities, including bulk RNA-seq, single-cell RNA-seq (scRNA-seq), spatial transcriptomics, Digital Spatial Profiling (DSP ...

You will support the full omics data lifecycle across a broad spectrum of modalities, including bulk RNA-seq, single-cell RNA-seq (scRNA-seq), spatial transcriptomics, Digital Spatial Profiling (DSP ...

Provide scientific mentorship and guidance to students, postdoctoral fellows, technicians, and other staff in developing bioinformatics pipelines, particularly for spatial transcriptomics ...

You will support the full omics data lifecycle across a broad spectrum of modalities, including bulk RNA-seq, single-cell RNA-seq (scRNA-seq), spatial transcriptomics, Digital Spatial Profiling (DSP ...

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Transcriptomics information

What are the key skills and qualifications needed to thrive as a Transcriptomics Scientist, and why are they important?

To thrive as a Transcriptomics Scientist, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by an advanced degree in a relevant field. Familiarity with next-generation sequencing (NGS) platforms, RNA-seq analysis pipelines, and programming languages like R or Python is essential. Attention to detail, problem-solving abilities, and effective communication skills set outstanding candidates apart. These competencies are vital for generating accurate transcriptomic data, interpreting complex results, and collaborating within multidisciplinary research teams.

What does transcriptomics do?

Transcriptomics is a field within molecular biology that studies the complete set of RNA transcripts produced by a genome under specific conditions. Professionals in this area analyze gene expression patterns using tools like RNA sequencing to understand cellular functions and disease mechanisms.

What biology jobs pay over $100k?

In the field of transcriptomics, roles such as senior research scientist, bioinformatics director, and molecular biology manager often have salaries exceeding $100,000 annually. These positions typically require advanced degrees, extensive experience, and skills in data analysis, programming, and laboratory techniques.

What is transcriptomics?

Transcriptomics is the study of the complete set of RNA transcripts produced by the genome under specific circumstances or in a specific cell. It provides insights into gene expression patterns, how genes are regulated, and how cells respond to various conditions. By analyzing the transcriptome, researchers can better understand biological processes, disease mechanisms, and identify potential targets for therapy. Technologies such as RNA sequencing (RNA-seq) are commonly used in transcriptomics research.

What are some common challenges faced by professionals working in transcriptomics, and how can they be addressed?

Professionals in transcriptomics frequently encounter challenges such as handling large and complex datasets, ensuring data quality, and staying current with rapidly evolving analytical tools and technologies. Working closely with bioinformaticians and statisticians is essential for effective data analysis and interpretation. Additionally, clear communication and collaboration with wet-lab biologists and clinicians help bridge the gap between raw data and meaningful biological insights. Regular training and professional development can help transcriptomics professionals stay updated with the latest best practices and software advancements.

What is the highest paying job in genetics?

In genetics, roles such as genetic counselors, research directors, and senior clinical geneticists tend to have the highest salaries, often exceeding six figures annually. Positions requiring advanced degrees, specialized skills, and leadership responsibilities typically offer the highest compensation in the field.

What is the highest paying job in bioinformatics?

In bioinformatics, senior roles such as bioinformatics directors, principal scientists, or lead data scientists tend to have the highest salaries, often exceeding $150,000 annually. These positions typically require advanced skills in programming, data analysis, and experience with large-scale genomic or transcriptomic data, along with leadership responsibilities.

What is the difference between Transcriptomics vs Bioinformatics?

AspectTranscriptomicsBioinformatics
Required credentialsBachelor's or Master's in Biology, Genetics, or related fields; experience with sequencing technologiesBachelor's or Master's in Computer Science, Bioinformatics, or related fields; programming skills
Work environmentLaboratories, research institutions, biotech companiesResearch labs, biotech firms, academic institutions, data analysis centers
Industry usageGenomics, molecular biology, medical researchData 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.

What cities in Maryland are hiring for Transcriptomics jobs? Cities in Maryland with the most Transcriptomics job openings:
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 12 days ago


Johns Hopkins Medicine rating

7.5

Company rating: 7.5 out of 10

Based on 205 frontline employees who took The Breakroom Quiz

231st of 885 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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