Part-time NGS Data Quality Engineer

Key Responsibilities

• Perform comprehensive quality checks on raw and processed NGS datasets to identify and resolve data integrity issues.
• Develop and maintain data mapping pipelines that align sequencing outputs with reference standards.
• Execute statistical analyses and generate reports that highlight data quality metrics and trends.
• Collaborate with bioinformatics and laboratory teams to define quality thresholds and improve data workflows.
• Automate routine quality control tasks using Python scripts and SQL queries to increase efficiency.

Requirements

• Strong background in Next‑Generation Sequencing data handling and quality assurance.
• Proficiency in data analysis and manipulation using Python and SQL.
• Experience building or maintaining data mapping and validation pipelines.
• Excellent analytical mindset with attention to detail and problem‑solving skills.
• Ability to work independently on a part‑time schedule while meeting project deadlines.