Software Engineer – Research Data Platform

This is a fully remote position, open to applicants in France.

📋 Description

• Design, implement, and maintain robust and scalable data schemas and storage solutions that are optimized for high-performance AI workloads.

• Benchmark, profile, enhance, and expand distributed storage utilizing chunking, compression, parallelization, and custom solutions.

• Develop and sustain high-quality, production-ready data systems.

• Create clean, typed, and well-documented APIs for researchers, engineers, and AI agents.

• Collaborate with researchers and product engineers to define needs, align priorities, and take ownership of projects from start to finish.

• Monitor, profile, and optimize database queries, storage read/write paths, pipeline bottlenecks, and cloud infrastructure expenditures.

• Implement data validation, testing, versioning, and access control in conjunction with platform engineers.

• Participate in system design, take-home assessments, presentations, technical Q&A, and executive interview phases.

⛳️ Requirements

• Extensive, production-level expertise in Python.

• Strong practical experience with modern Python data tools and frameworks, including Pydantic, SQLAlchemy, Alembic, object storage abstractions, and FastAPI or similar frameworks.

• Proficiency in relational database management systems such as PostgreSQL, focusing on schema design, indexing strategies, and query optimization.

• Experience in designing API surfaces.

• Familiarity with protocols for programmatic and agent access, such as the Model Context Protocol (MCP).

• A strong belief in treating data infrastructure as a product, with a commitment to usability for non-technical stakeholders.

• Submit your CV in English.

• Successful completion of a reference check is a prerequisite for an offer.

• While not mandatory, experience in biotech/life sciences, startups, distributed array storage, workflow orchestration, frontend/visualization, and proactive communication are considered advantageous.

🏝️ Benefits

• Competitive salary and equity package.

• Flexible work arrangements, including options for remote work.

• A collaborative and mission-driven work environment.

• An opportunity to contribute to the growth of the data platform and expedite discovery in cancer biology.