Full-service CRO for oncology trials from early development through Phase III
Theradex Oncology is a 40+ year-old contract research organization (CRO) serving biotech and pharma sponsors through early-stage and pivotal oncology trials. The tech stack reveals an organization in mid-stage cloud migration: .NET/C#/React frontend paired with AWS infrastructure (ECS, Fargate, Lambda, RDS), Terraform for IaC, and Docker containerization, while internal pain points explicitly surface legacy on-premise application modernization. Current hiring is senior-heavy (4 of 6 open roles), split between engineering (CI/CD pipeline work), healthcare operations, legal, and sales—a pattern typical of CROs scaling operational delivery and compliance functions.
Theradex Oncology operates as a full-service CRO focused on oncology, offering clinical data management, regulatory consulting, medical writing, statistical design, pharmacovigilance, and clinical monitoring services from pre-IND through Phase III stages. The company works with emerging biotech and pharma sponsors as well as government-sponsored trials (NCI studies). Based in Princeton, New Jersey with 51–200 employees, Theradex combines medical expertise (MD oncologists and regulatory specialists) with operational and technology teams. Recent project activity includes global Phase I–III trial execution, orphan drug applications, and regulatory submission management.
Frontend: C#, ASP.NET, React, Angular. Backend/Cloud: .NET, Python, AWS (ECS, Fargate, Lambda, RDS), Azure, Docker, Terraform. Infrastructure/Ops: Datadog, CloudWatch, VPC, IAM, AWS ECR.
Regulatory consulting, clinical data management, medical writing, statistical design, pharmacovigilance, clinical monitoring, and project management for oncology trials from pre-IND through Phase III, including orphan drug applications and NCI-sponsored studies.
Theradex Oncology'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 →
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