Precision Science LLC
Translational biomarker strategy and AI-driven analytics for precision medicine
Precision Science LLC
Translational biomarker strategy and AI-driven analytics for precision medicine
Helping biotech teams turn complex clinical and multi-omics data into actionable, decision-ready insights.
Chun Zhang, PhD
I help biotech and clinical teams make better decisions by translating complex multimodal data into actionable insights for research, translational and clinical development. With experience across pharma and molecular diagnostics, I bring a practical, data-driven approach to biomarker strategy, clinical analytics, and AI/ML modeling.
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I partner with biotech organizations to provide strategic leadership and solve high-impact scientific, clinical, and data challenges.
Fractional Translational Data Science Leadership
Providing experienced translational data science leadership for biotech companies that need executive-level expertise without a full-time hire
Biomarker Strategy
Develop biomarker strategies to support clinical development, patient stratification, and endpoint definition
Integrate biomarker and clinical data to enable more informed cohort selection and study design
Translate complex molecular and clinical signals into actionable insights for program decisions
Clinical & Translational Data Science
Analyze clinical trial and real-world data to generate insights that inform development and clinical strategy
Integrate multimodal datasets (clinical, molecular, imaging) to identify predictors of response and disease outcomes
Design AI-driven tools and agents to streamline clinical and translational data workflows
Regulatory & Strategic Support
Support regulatory-facing analyses and evidence generation
Provide scientific due diligence and program-level strategy
Clinical trial analysis support
Bridged biometrics and translational science by developing translational SAPs, defining TFL shells, reviewing SDTM/ADaM specifications, QCing TFLs, and contributing to CSRs that integrated PK/PD, biomarker, and clinical data.
CAR-T translational biomarker strategy
Integrated PK, cytokine, flow cytometry, and multi-omics data to identify biomarkers associated with efficacy, safety, and cytokine release syndrome (CRS).
Developed and validated multivariable prediction models using internal validation, calibration assessment, and independent validation to support patient risk stratification.
Designed biomarker studies, built analysis pipelines, and analyzed genomic, transcriptomic, and proteomic data for patient stratification and prognostic modeling.
Supported biomarker strategy, statistical analyses, and clinical evidence generation for liquid biopsy, companion diagnostics, and precision medicine product development.
Developed AI-assisted tools to automate Statistical Analysis Plan (SAP) review and improve the efficiency and consistency of clinical data review workflows.
Executive-level perspective
Former Senior Director with experience leading translational data science strategies in pharma and diagnostics
End-to-end understanding of development
Experience spanning discovery through clinical development, with a focus on decision-making at key inflection points
Bridging science, data, and clinical strategy
Able to connect biological insights, analytical approaches, and clinical context to drive integrated solutions
Focused on decisions, not just analysis
Deliver insights that directly inform program strategy, patient selection, and development planning
Direct, hands-on engagement
Work directly with clients without layers or handoffs
I offer flexible engagement models depending on the needs of your program. Most collaborations begin with a focused discussion to define scope and determine the most effective approach.
Project-based engagements
Ongoing collaboration (retainer)
Advisory / targeted consulting
A brief, no-obligation conversation to understand your needs and explore how I can help.