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What you'll be doing:

  • Data Validation Pipeline Development: Develop and implement comprehensive data validation protocols for diverse biological datasets.
  • Data Curation & Standardization: Establish and enforce data standardization practices to facilitate seamless integration and analysis across different data types.
  • Collaboration & Communication: Work closely with the R&D team to understand data requirements and address data quality concerns.

What you'll bring:

  • Omics Data Expertise: Deep understanding of transcriptomics data types (bulk, single-cell, spatial) and their specific quality considerations.
  • Data Quality Management: Proven experience in implementing data quality control procedures and pipelines.
  • Analytical Skills: Strong analytical and problem-solving skills to identify and resolve data quality issues.

Bioptimus

Bioptimus is building the first universal AI foundation model for biology to fuel breakthrough discoveries and accelerate innovation in biomedicine. With more than $75M in funding, Bioptimus is a fast-growing start-up headquartered in Paris.

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