Owkin is an AI company on a mission to solve the complexity of biology. They are building the first Biology Super Intelligence (BASI) by combining powerful biological large language models, multimodal patient data, and agentic software.
Benefits Overview
6 of 6 jobs
Flexible work
(6)
Informal environment
(2)
Friendly environment
(1)
International team
(1)
Design, implement, and maintain cloud-based infrastructure and services at the intersection of agentic AI and biomedical data.
Collaborate with software engineers, data engineers, researchers and data scientists to understand their needs and implement solutions that enhance their productivity.
Build and lead a high-performing platform engineering team, setting a high bar for technical excellence, ownership, and accountability in the organization.
Organize and structure data systems at both macro and micro levels, designing and implementing data architectures that support business goalsOptimize data pipelines for performance, reliability, and scalability
Design, build, and maintain scalable ETL/ELT pipelines with Airflow to process large-scale, complex datasets
Demonstrate ability to delivery of of data products useful for machine learning and AI research and development (data models, metadata and semantics)
Partner with pharmaceutical and biotech companies to solve high-impact problems by designing, building, and deploying solutions on top of Owkin’s agentic AI platform, Owkin K.
Design, implement, and deploy production-grade AI systems on top of Owkin K by writing code, building integrations, designing data pipelines, and turning ambiguous problems into reliable software.
Integrate solutions into large, complex, and regulated organizations and work with diverse datasets, existing systems, and multiple stakeholders to ensure that the tools you build are reliable, scalable, and actively used in production.