One Biosciences · Paris, France ·
Build and maintain scalable AWS pipelines for single-cell transcriptomics data to support clinical-grade oncology diagnostics, collaborating with biologists and engineers.
Biorce · Barcelona, Spain
Thesis · New York
carislifesciences · Irving, TX - 75039
Amgen · India - Hyderabad
Location: Paris (offices in Biolabs, 75014) – hybrid/remote-friendly
One Biosciences is a precision diagnostics company pioneering the use of single-cell transcriptomics and AI to decode tumor heterogeneity. Our platform combines advanced biology, algorithms, and molecular signatures to deliver insights that transform cancer care. Backed by €15M Series A funding and partnerships with Institut Curie, Gustave Roussy, and leading US centers, we are scaling globally to bring the next generation of diagnostics to patients.
As One Biosciences moves from research to clinical-grade diagnostics, robust and scalable data infrastructure is critical. We handle diverse, multi-modal datasets—from wet-lab assays to clinical samples—requiring high-performance pipelines and secure cloud environments.
As a Data Engineer, you will design and maintain data life cycle. This includes building data pipelines, integrate them in AWS infrastructure, and ensure data processing from raw sequences to clinically meaningful output. You’ll work closely with computational biologists, research scientists and software developers to build a production-grade infrastructure for cutting-edge oncology diagnostics.
Design and optimize pipelines for single-cell data analysis.
Manage large-scale datasets using workflow management systems.
Build, maintain, and evolve AWS-based infrastructure.
Collaborate with biologists and clinicians, supporting computational tasks.
Test, document, monitor, and maintain codebases.
3+ years as data engineer, or devops with strong coding practices.