Recruiter's Glossary

Examples: Fragment Analysis • Whole Genome Sequencing • Genome Assembly

Whole Genome Sequencing

Term from Genetic Research industry explained for recruiters

Whole Genome Sequencing is like creating a complete instruction manual of an organism's DNA. It's a way to read and record all genetic information that makes up a living thing. Think of it as taking a very detailed photograph of all the genes in a cell. Scientists and researchers use this technology to understand diseases, develop new treatments, and study how genes affect health. Similar approaches include targeted sequencing or exome sequencing, but Whole Genome Sequencing is the most complete version. This technology is becoming increasingly important in healthcare, research, and pharmaceutical development.

Examples in Resumes

Led team of 5 scientists in Whole Genome Sequencing projects for cancer research

Analyzed over 500 patient samples using WGS and Whole Genome Sequencing techniques

Improved Whole Genome Analysis workflow efficiency by 40% through process optimization

Managed large-scale Whole Genome Sequencing data analysis for rare disease studies

Typical job title: "Genome Scientists"

Also try searching for:

Genomics Scientist Bioinformatics Scientist Genetic Researcher Genomics Analyst Molecular Biologist NGS Scientist Sequencing Specialist

Where to Find Genome Scientists

Professional Organizations

Job Boards

Professional Networks

Example Interview Questions

Senior Level Questions

Q: How would you manage a large-scale genome sequencing project with multiple team members?

Expected Answer: Should discuss project planning, resource allocation, quality control measures, data management strategies, and how to coordinate between wet lab and computational teams. Should mention experience with timeline management and budget considerations.

Q: What strategies would you use to improve the efficiency of genome sequencing analysis pipeline?

Expected Answer: Should explain approaches to workflow optimization, automated processing, quality checks, and how to balance speed with accuracy. Should demonstrate understanding of both technical and practical aspects of running a sequencing facility.

Mid Level Questions

Q: What quality control measures do you use when processing genome sequencing data?

Expected Answer: Should describe basic quality metrics, how to identify good vs. poor quality data, and steps to ensure reliable results. Should mention standard industry tools and practices.

Q: How do you handle and store large genomic datasets?

Expected Answer: Should discuss data management practices, storage solutions, and security measures for sensitive genetic information. Should show awareness of industry standards and regulations.

Junior Level Questions

Q: Can you explain the basic steps of whole genome sequencing?

Expected Answer: Should be able to describe the main stages from sample preparation to final data analysis in simple terms. Should show understanding of the overall process flow.

Q: What basic tools do you use for genome sequence analysis?

Expected Answer: Should mention common software and basic analysis techniques. Should demonstrate familiarity with standard industry tools used in day-to-day work.