We build foundation models that will transform biology.
Biology Data Quality Engineer
Location
France
Posted
118 days ago
Salary
0
Seniority
Senior
Job Description
Biology Data Quality Engineer
Bioptimus
• Develop and implement comprehensive data validation protocols for diverse biological datasets (histology, omics, clinical). • Establish and enforce data standardization practices to facilitate seamless integration and analysis across different data types. • Work closely with the R&D team to understand data requirements and address data quality concerns. • Maintain a detailed documentation of the data-quality assessment procedures, validation results, and data specifications. • Evaluate and validate external public data sources, ensuring they meet our quality standards.
Job Requirements
- Omics Data Expertise. Deep understanding of transcriptomics data types (bulk, single-cell, spatial) and their specific quality considerations. Good knowledge of genomics and proteomics data.
- Data Quality Management: Proven experience in implementing data quality control procedures and pipelines. Familiarity with data validation tools and techniques.
- Analytical Skills: Strong analytical and problem-solving skills to identify and resolve data quality issues.
- Programming & Data Analysis: Proficiency in Python, good knowledge of data visualization libraries (e.g. matplotlib).
- Communication Skills: Excellent written and verbal communication skills to effectively convey data quality findings and recommendations.
- Educational Background: MSc in Biology, Computational Biology, Bioinformatics.
Benefits
- A collaborative and mission-driven work environment.
- Competitive salary and equity package.
- Flexible work arrangements, including remote options.
- Opportunities for professional growth and leadership development.
- Shape the future of biology and AI by contributing to groundbreaking work.
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