
201 - 500 employees
Founded 2016
🤖 Artificial Intelligence
🧬 Biotechnology
💊 Pharmaceuticals
Artificial Intelligence • Biotechnology • Pharmaceuticals
Owkin is an AI-driven biomedical company building an autonomous “AI Scientist” (K Pro) to automate and support biopharmaceutical R&D and clinical research. Its platform combines advanced machine learning and foundation models trained on a large multimodal patient data network with wet-lab validation and clinical partnerships to generate biological insights, inform clinical trial and patient/population decisions, and accelerate drug discovery and diagnostics. Owkin also incubates diagnostic spinouts and provides tools and services for data partners, model development, and translational research.
🕒 July 28
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201 - 500 employees
Founded 2016
🤖 Artificial Intelligence
🧬 Biotechnology
💊 Pharmaceuticals
Artificial Intelligence • Biotechnology • Pharmaceuticals
Owkin is an AI-driven biomedical company building an autonomous “AI Scientist” (K Pro) to automate and support biopharmaceutical R&D and clinical research. Its platform combines advanced machine learning and foundation models trained on a large multimodal patient data network with wet-lab validation and clinical partnerships to generate biological insights, inform clinical trial and patient/population decisions, and accelerate drug discovery and diagnostics. Owkin also incubates diagnostic spinouts and provides tools and services for data partners, model development, and translational research.
• Design, implement, and maintain cloud-based infrastructure and services at the intersection of agentic AI and petabytes of multimodal patient data. • Own specific critical platform components end-to-end. • Drive technical standards, architectural reviews, and best practices across the engineering department. • Mentor junior/mid-level engineers. • Contribute to the design and evolution of our product architecture across a number of use cases of scalable scientific computing, data processing and AI engineering. • Collaborate with software engineers, 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 (security by design, vulnerability reduction). • Improve the modularity and the performance of our solution. • Improve the observability of the stack and increase its resiliency. • Contribute to and improve our development tooling and processes. • Participate in a team wise shared on-call rotation.
• Significant experience (typically 7+ years) as a software engineer, demonstrating technical leadership in designing, deploying, and operating critical cloud infrastructure at scale. • Experience with either python or golang. • Strong experience in Docker. • Experience using AI tools (e.g., Claude Code) to improve software engineering efficiency and productivity • Management of cloud infrastructure as code, using terraform and kubernetes on AWS, Azure or GCP • 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 and async communication: our team is distributed across Europe.
• 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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