Software Engineer – Research Data Platform

Job not on LinkedIn

🔥 0 minutes ago

🇫🇷 France – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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Bioptimus

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2024

🏥 Healthcare

💼 Consulting

📦 Logistics

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

Healthcare • Consulting • Logistics

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

• Design, implement, and maintain robust, scalable data schemas and storage solutions optimized for high-performance AI workloads • Benchmark, profile, improve, and extend distributed storage using chunking, compression, parallelization, and custom solutions • Develop and maintain high-quality, production-ready data systems • Build clean, typed, well-documented APIs for researchers, engineers, and AI agents • Work with researchers and product engineers to scope needs, align priorities, and own projects end-to-end • Monitor, profile, and optimize database queries, storage read/write paths, pipeline bottlenecks, and cloud infrastructure costs • Implement data validation, testing, versioning, and access control with platform engineers • Participate in system-design, take-home, presentation, technical Q&A, and executive interview stages

🎯 Requirements

• Deep, production-level knowledge of Python • Strong hands-on experience with modern Python data tools and frameworks, including Pydantic, SQLAlchemy, Alembic, object storage abstractions, and FastAPI or similar frameworks • Expertise in relational database management systems such as PostgreSQL, including schema design, indexing strategies, and query optimization • Experience designing API surfaces • Exposure to protocols for programmatic and agent access such as the Model Context Protocol (MCP) • Strong belief that data infrastructure is a product and commitment to usability for non-technical stakeholders • Submit CV in English • Successful completion of a reference check is required for an offer • Biotech/life sciences experience, startup experience, distributed array storage, workflow orchestration, frontend/visualization, and proactive communication are bonuses, not requirements

🏖️ Benefits

• Competitive salary and equity package • Flexible work arrangements, including remote options • Collaborative and mission-driven work environment • Opportunity to help grow the data platform and accelerate discovery in cancer biology