RNA-seq

Term from Genetic Research industry explained for recruiters

RNA-seq is a modern laboratory method used to study genes and how active they are in living things. Think of it as taking a detailed snapshot of all the genes that are "turned on" in a cell at a particular moment. Scientists use this technique to understand diseases, develop new treatments, and study how organisms work. It's similar to other methods like microarrays or qPCR, but it provides much more detailed information. When you see this term in a resume, it means the candidate has experience with advanced genetic analysis techniques. You might also see it referred to as "RNA sequencing" or "whole transcriptome sequencing."

Examples in Resumes

Analyzed patient samples using RNA-seq and RNA sequencing techniques to study cancer progression

Led team of 3 researchers in RNA-seq data analysis for drug response study

Developed improved RNA sequencing protocols resulting in 40% cost reduction

Typical job title: "RNA-seq Analysts"

Also try searching for:

Bioinformatics Scientist Genomics Researcher Molecular Biologist Computational Biologist Research Scientist NGS Analyst Genetic Data Analyst

Example Interview Questions

Senior Level Questions

Q: How would you design an RNA-seq experiment to study a rare disease?

Expected Answer: A senior candidate should discuss sample collection, controls, replication, sequencing depth, and cost considerations. They should mention quality control steps and ways to handle limited samples.

Q: What strategies would you use to manage a large RNA-seq project with multiple team members?

Expected Answer: Look for answers about project planning, data organization, quality control checkpoints, standardizing protocols, and ensuring reproducibility across team members.

Mid Level Questions

Q: What quality control steps do you take with RNA-seq data?

Expected Answer: Should mention checking RNA quality before sequencing, reviewing sequence quality scores, and verifying the reliability of results through standard quality metrics.

Q: How do you handle technical problems in RNA-seq experiments?

Expected Answer: Should discuss common issues like sample contamination, low RNA quality, or sequencing errors, and explain troubleshooting approaches.

Junior Level Questions

Q: Can you explain what RNA-seq is used for?

Expected Answer: Should be able to explain that RNA-seq measures gene activity in cells and helps understand which genes are active under different conditions.

Q: What basic steps are involved in an RNA-seq experiment?

Expected Answer: Should describe sample collection, RNA extraction, library preparation, and basic data analysis steps in simple terms.

Experience Level Indicators

Junior (0-2 years)

  • Basic laboratory techniques
  • Understanding of RNA extraction methods
  • Familiarity with basic data analysis
  • Knowledge of laboratory safety protocols

Mid (2-5 years)

  • Independent experiment design
  • Complex data analysis
  • Troubleshooting expertise
  • Project management experience

Senior (5+ years)

  • Advanced experimental design
  • Team leadership
  • Grant writing experience
  • Publication track record

Red Flags to Watch For

  • No hands-on laboratory experience
  • Lack of understanding of basic molecular biology
  • No experience with data analysis software
  • Poor documentation practices
  • No knowledge of experimental controls