
201 - 500 employees
Founded 2016
🤖 Artificial Intelligence
🧬 Biotechnology
đź’Š 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.
🔥 5 minutes ago
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201 - 500 employees
Founded 2016
🤖 Artificial Intelligence
🧬 Biotechnology
đź’Š 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 biomedical data. • 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, and our products. • Improve the modularity and performance of our solution. • Improve the observability of the stack and increase its resiliency. • Contribute to and improve our development tooling and processes.
• 8+ years of software engineering experience from a leading tech/AI startup or scale up, with proven experience managing and leading an internationally distributed engineering team. • Proven ability to manage up, manage conflicting priorities, and drive alignment in complex, fast-moving environments with multiple stakeholders. • Track record of delivering individual technical results while simultaneously developing the people around them. • Driving software engineering productivity with AI tooling (e.g. Claude Code) as an individual contributor or manager. • Experience with either python or golang. • Management of cloud infrastructure as code (AWS, Azure or GCP), using terraform and Kubernetes. • 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 • Demonstrated ability to work cross-functionally with non-engineering stakeholders and translate complex technical trade-offs into clear communication.
• 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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