Sample interview questions: Describe your experience with data cleaning and normalization for genetic studies in clinical trials.
Sample answer:
- Data Cleaning:
- Experience in identifying and correcting errors, inconsistencies, and missing data in genetic datasets.
- Familiarity with data quality assessment tools and techniques.
- Expertise in data imputation methods to handle missing values.
- Experience in data transformation and harmonization to ensure consistency across different datasets.
- Data Normalization:
- Familiarity with different normalization techniques, including min-max scaling, z-score normalization, and quantile normalization.
- Experience in applying normalization techniques to genetic data to ensure comparability and facilitate downstream analysis.
- Understanding of the impact of normalization on data distribution and interpretation.
- Genetic Studies in Clinical Trials:
- Experience in working with genetic data generated from clinical trials, including genome-wide association studies (GWAS) and next-generation sequencing (NGS) studies.
- Familiarity with clinical trial protocols and data collection procedures.
- Expertise in analyzing genetic data to identify genetic variants associated wit… Read full answer
Source: https://hireabo.com/job/2_3_20/Clinical%20Data%20Analyst