Song Wang

Background

About Song Wang

I am a data scientist with a strong foundation in biomedical research and a strategic focus on translational oncology. My expertise lies at the intersection of multi-omics data integration, machine learning, and clinical trial analytics, driving precision medicine and informed decision-making across the drug development pipeline. With hands-on experience in genomics, transcriptomics, proteomics, and liquid biopsy, I lead efforts to uncover mechanistic insights, develop predictive and prognostic biomarkers, and shape biomarker strategies from early discovery through late-stage clinical development. I have built and managed reproducible, scalable pipelines and analytical frameworks using R and Python to support robust, regulatory-grade insights. Beyond technical execution, I provide scientific leadership in cross-functional settings—partnering with clinicians, translational scientists, and regulatory teams to ensure data-driven strategies align with clinical goals. I thrive in roles where I can mentor junior scientists, drive collaborative innovation, and translate complex molecular signals into actionable strategies for patient stratification, treatment optimization, and disease monitoring.