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Transcriptomics Jobs in Pennsylvania (NOW HIRING)

The Pennsylvania State University

$19.25 - $25/hr

Process and analyze molecular and cellular datasets, including transcriptomics and gene regulatory data such as ChIP-seq, ATAC-seq, and Hi-C * Develop, run, and maintain reproducible computational ...

Penn State University

Postdoctoral

University Park, PA · On-site

Experience in gene regulation, in vitro transcription, RNA biochemistry, protein-RNA interaction, protein-protein interaction, and/or bioinformatics analysis of transcriptomics data is required. The ...

The Pennsylvania State University

$48K - $65K/yr

Experience in gene regulation, in vitro transcription, RNA biochemistry, protein-RNA interaction, protein-protein interaction, and/or bioinformatics analysis of transcriptomics data is required. The ...

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Transcriptomics information

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 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 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 are popular job titles related to Transcriptomics jobs in Pennsylvania?

For Transcriptomics jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Transcriptomics jobs in Pennsylvania look for?

The top searched job categories for Transcriptomics jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Transcriptomics jobs?

Cities in Pennsylvania with the most Transcriptomics job openings:

Transcriptomics jobs near you
Infographic showing various Transcriptomics job openings in Pennsylvania as of June 2026, with employment types broken down into 92% Full Time, 7% Part Time, and 1% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution.

Post Doctoral Associate-Neurobiology

Pittsburgh, PA

University of Pittsburgh
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about University of Pittsburghexternal

Full-time

Posted 26 days ago

Job description

Postdoctoral Associate in Corticospinal Circuit Biology, Stroke, and Transcriptomics (University of Pittsburgh)

The Department of Neurobiology at the University of Pittsburgh School of Medicine invites applications for a highly motivated Postdoctoral candidate to join the laboratory of Dr. Vibhu Sahni. The laboratory investigates the molecular and developmental mechanisms that establish long-range corticofugal connectivity and determine how these circuits respond to injury and contribute to functional recovery. Using mouse models, viral tools, molecular profiling, transcriptomic approaches, and anatomical and computational analyses, the laboratory seeks to define the molecular programs that regulate corticospinal circuit organization, plasticity, and repair, with a particular emphasis on corticospinal tract responses following stroke and other forms of central nervous system injury.

The successful candidate will develop an independent research program while contributing to ongoing laboratory projects investigating the organization, injury response, plasticity, and regeneration of descending motor pathways. Current research focuses on understanding the molecular states and gene regulatory programs of corticospinal and related descending motor neuron populations, how these programs change following stroke and central nervous system injury, and how they can be manipulated to promote structural and functional recovery.
The candidate will employ a combination of mouse models of stroke and CNS injury, molecular biology, viral gene delivery, histology, microscopy, neural circuit tracing, transcriptomic profiling, and computational analysis. A major component of the position will involve transcriptomic and bioinformatic approaches, including single-cell and/or single-nucleus RNA sequencing, spatial transcriptomics or spatial RNA-sequencing approaches, and integration of high-dimensional molecular, anatomical, and circuit-level datasets. Additional responsibilities include mentoring graduate and undergraduate trainees, participating in laboratory management, presenting research at national and international meetings, and contributing to manuscript and grant preparation. The successful applicant will join a vibrant neuroscience community at the University of Pittsburgh with extensive opportunities for collaboration across the Department of Neurobiology, the Center for Neuroscience, and affiliated research centers.

Applicants must have a Ph.D. in Neuroscience, Neurobiology, Developmental Biology, Molecular Biology, Computational Biology, Biomedical Engineering, or a closely related field. Demonstrated research expertise in corticospinal tract and/or descending motor circuit biology is required, with particular emphasis on stroke, CNS injury, neural plasticity, or circuit repair. Applicants must also have experience with transcriptomic approaches, including single-cell and/or single-nucleus RNA sequencing, and demonstrated experience with or strong expertise in spatial transcriptomics or spatial RNA-sequencing approaches. Experience with bioinformatic and computational analysis of large-scale sequencing datasets, including proficiency with R and/or Python, is required.
Experience in one or more of the following areas is additionally desirable: mouse models of ischemic stroke, including photothrombotic stroke; viral vector approaches; stereotaxic or microsurgical approaches targeting cortical, brainstem, or spinal circuits; quantitative neuroanatomy and analysis of corticospinal projections and connectivity; whole-brain or whole-spinal-cord volumetric imaging; and computational integration of transcriptomic and neuroanatomical datasets. Strong written and verbal communication skills, a demonstrated publication record, and the ability to work both independently and collaboratively are expected.

Interested candidates should attach a brief statement of research interests and CV to requisition #26004639.

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