The projects span microfluidics-free single-cell long-read RNA sequencing platform development, isoform-level transcriptomics, and multi-omics data analysis, offering a genuinely broad training ...
The projects span microfluidics-free single-cell long-read RNA sequencing platform development, isoform-level transcriptomics, and multi-omics data analysis, offering a genuinely broad training ...
Experience in relevant areas includes familiarity with machine learning tools for data analysis, Crispr-Cas approaches, nucleic acid biology, transcriptomics, 10x and single cell analysis, and ...
Experience in relevant areas includes familiarity with machine learning tools for data analysis, Crispr-Cas approaches, nucleic acid biology, transcriptomics, 10x and single cell analysis, and ...
... spatial transcriptomics, medicinal chemistry, bioinformatics, and flow cytometry, humanized mouse models, among others. The Institute's location adjacent to the campuses of the University of ...
... spatial transcriptomics, medicinal chemistry, bioinformatics, and flow cytometry, humanized mouse models, among others. The Institute's location adjacent to the campuses of the University of ...
Post-Doctoral Fellow (Computational Biology) - Srivastava Lab
Institute, WI · On-site
$47K - $63K/yr
Experience with isoform-level transcriptomics, alternative splicing, or transcript quantification. * High-performance and reproducible software practice (containers, version control, workflow ...
Post-Doctoral Fellow (Computational Biology) - Srivastava Lab
Institute, WI · On-site
$47K - $63K/yr
Experience with isoform-level transcriptomics, alternative splicing, or transcript quantification. * High-performance and reproducible software practice (containers, version control, workflow ...
Postdoctoral Fellow - Sundd Lab
Wauwatosa, WI · On-site
$48K - $65K/yr
... transcriptomics, and other molecular biology and biochemistry techniques. Strong background in neutrophil and platelet adhesion biology, thrombosis, lung biology, interferon signaling, and innate ...
Postdoctoral Fellow - Sundd Lab
Wauwatosa, WI · On-site
$48K - $65K/yr
... transcriptomics, and other molecular biology and biochemistry techniques. Strong background in neutrophil and platelet adhesion biology, thrombosis, lung biology, interferon signaling, and innate ...
Postdoctoral Fellow - Sundd Lab
Wauwatosa, WI · On-site
$48K - $65K/yr
... transcriptomics, and other molecular biology and biochemistry techniques. Strong background in neutrophil and platelet adhesion biology, thrombosis, lung biology, interferon signaling, and innate ...
Postdoctoral Fellow - Sundd Lab
Wauwatosa, WI · On-site
$48K - $65K/yr
... transcriptomics, and other molecular biology and biochemistry techniques. Strong background in neutrophil and platelet adhesion biology, thrombosis, lung biology, interferon signaling, and innate ...
Postdoctoral Fellow - Sundd Lab
Wauwatosa, WI · On-site
$48K - $65K/yr
... transcriptomics, and other molecular biology and biochemistry techniques. Strong background in neutrophil and platelet adhesion biology, thrombosis, lung biology, interferon signaling, and innate ...
Postdoctoral Fellow - Sundd Lab
Wauwatosa, WI · On-site
$48K - $65K/yr
... transcriptomics, and other molecular biology and biochemistry techniques. Strong background in neutrophil and platelet adhesion biology, thrombosis, lung biology, interferon signaling, and innate ...
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?
| 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.
What are popular job titles related to Transcriptomics jobs in Wisconsin?
For Transcriptomics jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Transcriptomics jobs in Wisconsin look for?
The top searched job categories for Transcriptomics jobs in Wisconsin are:
- Pharmacology Postdoctoral Fellowship
- Temp Inorganic Chemistry Postdoctoral
- Junior Research Fellow
- Cancer Epidemiology
- Overnight Patch Clamp Electrophysiology
- Nih Postdoc Pay
- Postdoctoral Liver Disease
- Postdoctoral Position Parasitology Immunology
- Postdoctoral Position Redox Biology
- Postdoctoral Research In Gastroenterology
What cities in Wisconsin are hiring for Transcriptomics jobs?
Cities in Wisconsin with the most Transcriptomics job openings:
Research Assistant (Computational Biology) - Srivastava Lab
Institute, WI • On-site
wistar
Full-time
Re-posted 15 days ago
Job description
The Wistar Institute has an opening for a Research Assistant to join Dr. Avi Srivastava's laboratory. The Srivastava Lab is a hybrid computational-experimental group developing novel single-cell genomics technologies and applying them to questions in RNA biology and cancer. The projects span microfluidics-free single-cell long-read RNA sequencing platform development, isoform-level transcriptomics, and multi-omics data analysis, offering a genuinely broad training environment at the intersection of wet lab and computation.
The Research Assistant will contribute directly to ongoing lab projects and will have the opportunity to develop skills across both experimental and computational domains. Responsibilities may include library preparation and molecular biology experiments supporting single-cell sequencing workflows, processing and quality control of sequencing data, maintenance of lab pipelines and databases, and general research support under the mentorship of the PI and senior lab members.
A bachelor's or master's degree in molecular biology, computational biology, bioinformatics, computer science, or a related field is required. Some hands-on experience in a research setting is preferred, whether computational (e.g., Python, R, Linux/command line) or experimental (e.g., RNA or DNA library preparation, cell culture, basic molecular biology techniques). Candidates do not need to be experts in both; curiosity and a genuine drive to learn across the wet/dry interface are equally valued. Strong communication skills and the ability to work collaboratively in a fast-paced research environment are essential.
The Wistar Institute is located in the University City area of Philadelphia, in the heart of the University of Pennsylvania Campus. Wistar provides resources to its faculty and staff that enable them to conduct cutting-edge collaborative research and provide outstanding intellectual environments and state-of-the-art facilities.
We offer a competitive salary and excellent benefits package.
For more information about The Wistar Institute visit our website at www.wistar.org.