Owkin is a pioneering company operating at the intersection of artificial intelligence and healthcare. By integrating AI with complex biological data, Owkin aims to advance drug discovery and diagnostics, particularly in oncology. It collaborates with prominent academic centers and pharmaceutical companies to develop AI models that predict disease risk, identify novel biomarkers, and enhance clinical trials. Owkin's federated research network and multimodal data approach enable it to leverage extensive patient data while ensuring privacy, fostering innovation in treatments and diagnostics. Through collaborations and cutting-edge AI technologies, Owkin seeks to transform drug development and personalize patient treatment strategies.
artificial intelligence • omics technology • oncology • drug discovery • medical research
5 days ago
Owkin is a pioneering company operating at the intersection of artificial intelligence and healthcare. By integrating AI with complex biological data, Owkin aims to advance drug discovery and diagnostics, particularly in oncology. It collaborates with prominent academic centers and pharmaceutical companies to develop AI models that predict disease risk, identify novel biomarkers, and enhance clinical trials. Owkin's federated research network and multimodal data approach enable it to leverage extensive patient data while ensuring privacy, fostering innovation in treatments and diagnostics. Through collaborations and cutting-edge AI technologies, Owkin seeks to transform drug development and personalize patient treatment strategies.
artificial intelligence • omics technology • oncology • drug discovery • medical research
•About the role: •As a Backend Software Engineer in the Data Infrastructure team at Owkin, you will be at the heart of our mission to accelerate data-driven biomedical discoveries at scale. •You will contribute to building and maintaining scalable data management and processing systems on AWS that handle complex datasets throughout their lifecycle, while maintaining the highest standards of privacy, security and compliance. •In particular, you will: •Design, implement, and maintain cloud-based infrastructure and services on AWS at the intersection of data engineering and AI tools •Contribute to the design and evolution of our data architecture to support large-scale data processing while ensuring granular data access controls and security compliance •Collaborate with data engineers, researchers and data scientists to understand their needs and implement solutions that enhance their productivity •Support and improve our CI/CD pipelines, development workflows, and security practices •Participate in incident response to ensure high availability and reliability •Contribute to maintaining the confidentiality, integrity and availability of data
•Significant experience as software engineer contributing on cloud infrastructure: this is an intermediate level position •Experience with either python or golang •Management of AWS infrastructure as code, using terraform •Strong experience in Docker •Experience in architectural design of complex systems, especially for complex data at scale •Demonstrated attention to quality and software engineering processes, including observability and security: we run what we build •Full professional proficiency in English: our team is distributed across Europe •Familiarity with Kubernetes •Experience in Data Engineering •Experience with MLOps practices •Frontend skills •Knowledge in healthcare or biomedical domains
•Flexible work organization •Friendly and informal working environment •Opportunity to work with an international team with high technical and scientific backgrounds
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