Data Operations Lead

🕒 May 27

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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

• Own the operational lifecycle of external data partnerships following contract signature. • Manage secure biomedical data transfers using cloud infrastructure and standardized transfer protocols. • Collaborate with internal technical and product teams to define and maintain harmonized data models and metadata standards across complex clinical and multi-modal datasets. • Work closely with engineering and data teams to configure and maintain lightweight ingestion and QC pipelines. • Coordinate automated and manual quality control checks across incoming datasets. • Maintain a centralized “single source of truth” for all incoming datasets, including ingestion status, completeness, QC status, and milestone tracking. • Partner closely with Data Science, Engineering, Legal, and Partnership teams to align operational execution with business and scientific priorities. • Conduct periodic visits to partner hospitals, biobanks, and laboratories to support onboarding, troubleshoot technical or operational bottlenecks, and strengthen long-term collaborations.

🎯 Requirements

• Strong understanding of clinical and biomedical data structures, including real-world data, clinical trial datasets, and multi-omics data modalities. • Proven experience managing data lifecycles in cloud environments, particularly AWS (S3, CLI, access management). • Proficiency in Python or R, along with SQL for querying and transforming datasets. • Demonstrated ability to manage multiple external collaborations and operational workstreams simultaneously. • Comfortable working independently in ambiguous environments. • Bachelor’s or Master’s degree in Life Sciences, Bioinformatics, Health Informatics, Computer Science, or a related quantitative field.

🏖️ 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. • The opportunity to shape the future of biology and AI through groundbreaking work.