Precision Science LLC
Translational biomarker strategy and AI-driven analytics for precision medicine
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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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How I help
How I help
I partner with biotech and diagnostics organizations to solve high-impact scientific and clinical data challenges:
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
Support cross-functional teams with data-driven insights for interpretation, planning, and decision-making
AI / Machine Learning
Develop predictive models for efficacy, safety, and disease outcomes to inform clinical strategy and decision-making
Extract actionable insights from high-dimensional, multimodal datasets using advanced analytical approaches
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
Representative engagements
Representative engagements
Biomarker strategy for clinical development
Defined biomarker strategy for early-phase programs, including patient stratification and endpoint integration
→ Enabled more informed cohort selection and development decisions
Multimodal data integration and modeling
Integrated clinical, omics, and imaging data to identify predictors of response.
Built predictive models and harmonized disparate datasets across sources.
→ Improved identification of high-response patient subgroups.
Clinical trial data analysis and decision support
Analyzed clinical trial and real-world data in collaboration with cross-functional teams
→ Delivered insights supporting key development and program decisions
Scientific due diligence and advisory
Evaluated external programs and datasets for translational relevance and data quality
→ Informed strategic investment and partnership decisions
Why work with me
Why work with me
Executive-level perspective
Former Senior Director with experience leading translational data science strategies in pharma and diagnosticsEnd-to-end understanding of development
Experience spanning discovery through clinical development, with a focus on decision-making at key inflection pointsBridging science, data, and clinical strategy
Able to connect biological insights, analytical approaches, and clinical context to drive integrated solutionsFocused on decisions, not just analysis
Deliver insights that directly inform program strategy, patient selection, and development planningDirect, hands-on engagement
Work directly with clients without layers or handoffs
Ways of working
Ways of working
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.
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