Clinical-stage biotech developing AI-powered targeted cancer therapies
TargetRx is a clinical-stage pharmaceutical R&D company using machine learning (PyTorch, TensorFlow, XGBoost) and computational biology (Cryo-EM, UniProt) to accelerate small-molecule drug discovery for resistant cancers. The tech stack and active projects reveal a company actively building internal AI-driven platforms for candidate identification while managing the parallel complexity of multi-national clinical trials, GMP compliance, and manufacturing scale-up—a hiring mix weighted toward research (8 roles) and biostatistics leadership underscores their computational intensity.
Notable leadership hires: Quality Lead, Biostatistics Lead
TargetRx was founded in 2014 and operates as a clinical-stage biopharmaceutical company based in Shenzhen, Guangdong. The company focuses on developing next-generation targeted therapies for cancer patients with resistance to current treatments, leveraging proprietary small-molecule drug discovery platforms. TargetRx holds over 170 patents across China, the US, Europe, Japan, and other jurisdictions. Several compounds are currently in multi-national clinical trials at various stages. The organization runs approximately 51–200 employees across research, manufacturing, quality, biostatistics, and commercial functions, with active hiring concentrated in China.
TargetRx uses PyTorch, TensorFlow, XGBoost, and scikit-learn for ML; Cryo-EM and UniProt for structural biology; SAP S/4HANA and SAP R/3 for enterprise operations; SAS and R for statistical analysis; Power BI for analytics; and Cisco infrastructure.
Primary projects include building internal AI-driven drug discovery platforms, developing clinical trial statistical strategies, R&D quality system development, and advancing new drug clinical submissions across multi-national trials.
Other companies in the same industry, closest in size