Software Engineer – Research Data Platform

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🔥 0 minutes ago

🇫🇷 France – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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Logo of Bioptimus

Bioptimus

1 - 10 employees

Founded 2024

🤖 Artificial Intelligence

🧬 Biotechnology

⚕️ Healthcare Insurance

💰 $35M Seed Round on 2024-02

Artificial Intelligence • Biotechnology • Healthcare Insurance

Bioptimus is on a mission to build the first universal AI foundation model for biology, aimed at fueling breakthrough discoveries and accelerating innovations in biomedicine and beyond. The company seeks to transform the biological sciences through advanced artificial intelligence technologies.

📋 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 following clean code principles and engineering best practices • 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 • Collaborate with multidisciplinary researchers and engineers on software development and productization efforts

🎯 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 • Team-first, independent, curious, detail-oriented, and adaptable mindset • CV submitted in English • Successful completion of a reference check is required before an offer

🏖️ 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

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