INTERMEDIATE LEVEL

Describe a situation where you have had to deal with conflicting or inconsistent genomic data. How did you address it?

Sample answer to the question

In a previous project, I encountered conflicting genomic data while analyzing genetic sequences from a cohort of patients. To address this, I first carefully reviewed the data, comparing different sources and databases. I also collaborated with the bioinformatics team to discuss the inconsistencies and potential reasons behind them. Together, we performed additional quality control measures, reanalyzed the data using different algorithms, and cross-referenced with known variations in the literature. By taking a thorough and systematic approach, we were able to identify the sources of the inconsistencies and resolve them accordingly.

A more solid answer

During my work on a research project, I encountered conflicting genomic data while analyzing the genetic sequences of a patient cohort. To address this challenge, I utilized my in-depth knowledge of genomics and computational biology to thoroughly review the data. I compared various sources, including genomic databases and literature, to identify potential inconsistencies. Recognizing the importance of collaboration, I actively engaged with the bioinformatics team to discuss the discrepancies and brainstorm possible explanations.

Why this is a more solid answer:

The solid answer expands on the basic answer by providing more specific details about the candidate's knowledge of genomics and computational biology. They demonstrate their proficiency in using bioinformatics tools and explain how they applied their analytical and problem-solving capabilities by thoroughly reviewing the data and comparing different sources. Additionally, they highlight their strong communication and collaboration skills by actively engaging with the bioinformatics team to address the conflicting data.

An exceptional answer

In a recent project, I encountered conflicting genomic data while analyzing genetic sequences of cancer patients. To address this, I applied my extensive knowledge of genomics and computational biology, utilizing specialized bioinformatics software and tools for variant calling and annotation. I performed comprehensive data quality control procedures, including checking for sample mix-ups, sequencing artifacts, and alignment issues. Moreover, I developed custom pipelines to integrate diverse omics datasets and cross-validate the discrepancies.

Why this is an exceptional answer:

The exceptional answer goes above and beyond by providing even more specific details about the candidate's experience and expertise. They mention their use of specialized bioinformatics software and tools for variant calling and annotation, which aligns with the job description's requirement of proficiency in bioinformatics software and tools. They also highlight their ability to manage and integrate diverse omics datasets, showcasing their strong analytical and problem-solving capabilities. Additionally, they emphasize their attention to detail by performing comprehensive data quality control procedures.

How to prepare for this question

Brush up on your knowledge of genomics, computational biology, and bioinformatics tools commonly used in genomic data analysis.
Practice discussing specific situations where you have encountered conflicting or inconsistent genomic data in your previous work or projects.
Highlight your problem-solving skills and ability to collaborate with teams, as these are crucial for addressing conflicting genomic data.
Be prepared to discuss your experience with data quality control procedures, such as sample mix-up checks and sequencing artifact identification.

What interviewers are evaluating

In-depth knowledge of genomics and computational biology
Proficient in the use of bioinformatics software and tools
Excellent analytical and problem-solving capabilities
Strong communication and collaboration skills