Biology Data Quality Engineer

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Create and execute thorough data validation protocols for a variety of biological datasets, including histology, omics, and clinical data.

• Develop and maintain data standardization practices to ensure smooth integration and analysis across various data types.

• Collaborate closely with the R&D team to comprehend data requirements and tackle data quality issues.

• Keep comprehensive documentation of the procedures for data quality assessment, validation outcomes, and data specifications.

• Assess and validate external public data sources to ensure compliance with quality standards.

• Remain informed about the latest best practices and tools related to data quality in the biological field.

⛳️ Requirements

• Profound knowledge of transcriptomics data types (bulk, single-cell, spatial) along with their unique quality considerations; solid understanding of genomics and proteomics data.

• Demonstrated experience in establishing data quality control procedures and pipelines, with familiarity in data validation tools and techniques.

• Strong analytical and problem-solving abilities to identify and address data quality challenges.

• Proficiency in Python and a good understanding of data visualization libraries (e.g., matplotlib).

• Exceptional written and verbal communication skills to effectively present data quality findings and recommendations.

• MSc in Biology, Computational Biology, or Bioinformatics.

🏝️ Benefits

• Competitive salary and equity package

• Flexible work arrangements, including remote options

• Opportunities for professional growth and leadership development

• Collaborative and mission-driven work environment