Digital CRO merging clinical research with data automation across 26 countries
Alsinova is a Contract Research Organization (CRO) built on a hybrid model pairing clinical and regulatory expertise with data science and automation. The tech stack—SAS, R/Shiny, Python, SQL, Oracle, Tableau—reflects a research-heavy organization automating repetitive workflows (R Markdown reporting, data pipelines) while maintaining deep domain coverage in clinical operations, quality assurance, and regulatory affairs. Active hiring across research, ops, and data roles, combined with documented pain points around reporting automation and quality investigation, suggests the company is scaling internal delivery capacity rather than shifting to pure software.
Notable leadership hires: ARC Lead
Alsinova, a subsidiary of Astek, operates as a Contract Research Organization (CRO) serving life sciences clients across non-clinical research, clinical trials, real-world evidence (RWE), and regulatory affairs. The company spans 26 countries with offices in France, Belgium, and Canada, combining on-site clinical and regulatory teams with centralized data science and automation functions. Core service areas include clinical study design and execution, medical writing, post-approval regulatory submissions, and therapeutic specialization in neurosciences, oncology, and genomics. The organization employs 501–1,000 staff with balanced hiring across research operations, data analytics, healthcare domain roles, and quality assurance—typical of a service-delivery CRO scaling to handle larger trial volumes.
SAS, R/Shiny, Python, SQL, Oracle, and Tableau. The stack emphasizes statistical analysis (SAS, JMP), custom reporting automation (R Markdown/Shiny), and business intelligence (Power BI, Tableau). GitHub is also in use for version control.
Alsinova has active operations across 26 countries. Primary hiring footprint includes France (headquarters in Boulogne-Billancourt), Belgium, and Canada. The organization maintains local teams for clinical and regulatory delivery alongside centralized data functions.