Biology Data Quality Engineer

🕒 May 5

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Bioptimus

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2024

🤖 Artificial Intelligence

🧬 Biotechnology

☁️ SaaS

💰 $41M Series A - Bioptimus on 2025-01

Artificial Intelligence • Biotechnology • SaaS

Bioptimus is a company that builds foundation AI models for biology, integrating multimodal and multiscale biological data to break down data silos and accelerate biomedical research and clinical decision‑making. Its flagship models include H‑Optimus‑1 for histology/digital pathology and M‑Optimus as a universal biology model; the company partners with research institutions, clinical practices, and industry to train and deploy models securely at scale. Founded in Paris in 2024, Bioptimus focuses on applying AI to problems across biomedical research, clinical workflows, and life‑science R&D while emphasizing data quality, security, and scientific validation.

📋 Description

• 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 quality standards. • Stay up-to-date with the latest data quality best practices and tools in the biological domain.

🎯 Requirements

• Deep understanding of transcriptomics data types (bulk, single-cell, spatial) and their specific quality considerations. Good knowledge of genomics and proteomics data. • Proven experience in implementing data quality control procedures and pipelines. Familiarity with data validation tools and techniques. • Strong analytical and problem-solving skills to identify and resolve data quality issues. • Proficiency in Python, good knowledge of data visualization libraries (e.g. matplotlib). • Excellent written and verbal communication skills to effectively convey data quality findings and recommendations. • MSc in Biology, Computational Biology, 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