Owkin applies AI to biomedical data for oncology and drug discovery, and its job posts center on building an AI scientist: an autonomous agentic system meant to integrate with wet-lab work. The stack pairs a multi-cloud base (AWS, Azure, GCP) with Databricks, Snowflake, Trino and DuckDB, plus lab methods like spatial transcriptomics and RT-qPCR. Senior- and director-heavy hiring across engineering, data and research is accelerating.
Notable leadership hires: Platform Services Lead
Owkin is a privately held biomedical AI company founded in 2016 and headquartered in New York, NY, with 201–500 employees. It works across omics, biomedical imaging, clinical data and real-world data, with a focus on oncology and drug discovery. Its specialties include federated learning and clinical tools. The company is hiring in France, Germany, the United Kingdom and the United States across engineering, data, research and sales.
Owkin runs on AWS, Azure and GCP with Python and Go, uses Databricks, Snowflake, Trino, DuckDB and Airflow for data, and Kubernetes, Terraform, Grafana, Prometheus and Datadog for infrastructure and observability.
Owkin is building an AI scientist, an autonomous agentic system for drug discovery, alongside agentic frameworks for wet-lab integration and work on drug targets, biomarkers and disease subtypes.
Owkin hires in France, Germany, the United Kingdom and the United States. Engineering leads the hiring mix, followed by data, research and sales, and most openings are senior or director level.
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OWKIN's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
