Recruiter's Glossary

Examples: Gel Electrophoresis • Capillary Electrophoresis • RNA Extraction

RNA Sequencing

Term from Genetic Research industry explained for recruiters

RNA Sequencing (also called RNA-Seq) is a modern way to study genes and how they work in living things. Think of it like reading a detailed instruction manual that cells use to make proteins and other important molecules. Scientists use this technique to understand which genes are active in cells, how diseases develop, and how different treatments might work. It's similar to other methods like DNA sequencing or microarrays, but RNA Sequencing gives more complete and accurate information. This is a key skill in genetic research, medical research, and drug development.

Examples in Resumes

Analyzed over 100 patient samples using RNA Sequencing and RNA-Seq techniques

Led multiple RNA Sequencing projects to study cancer cell behavior

Optimized RNA-Seq protocols resulting in 40% cost reduction per sample

Typical job title: "RNA Sequencing Scientists"

Also try searching for:

Genomics Scientist Bioinformatics Scientist Molecular Biologist Research Scientist Genetic Analysis Specialist Sequencing Specialist Genomics Researcher

Where to Find RNA Sequencing Scientists

Professional Organizations

Online Communities

Job Resources

Example Interview Questions

Senior Level Questions

Q: How would you manage a large-scale RNA Sequencing project with multiple samples?

Expected Answer: A senior scientist should discuss project planning, quality control measures, data management, timeline estimation, cost considerations, and how to coordinate with team members and external partners.

Q: What strategies would you use to handle problematic or degraded RNA samples?

Expected Answer: Should explain different approaches to working with challenging samples, including modification of protocols, alternative methods, and when to recommend resampling.

Mid Level Questions

Q: What quality control steps do you take in RNA Sequencing?

Expected Answer: Should describe basic sample quality checks, how to ensure reliable results, and common problems they might encounter during the process.

Q: How do you determine if your RNA Sequencing results are reliable?

Expected Answer: Should explain basic data validation steps, common quality metrics, and how to identify potential issues in the results.