Our Services

Turn complex data into actionable insights with BioEpiNet’s PhD-led team of data scientists, clinicians, and epidemiologists.

Why Data Science Matters in Health Innovation

From predictive analytics to AI model development, data science is the backbone of modern health research, diagnostics, and digital care delivery. But extracting meaningful insights from real-world data, EHRs, biomarkers, or wearables requires more than code—it requires domain expertise.

At BioEpiNet, we blend data science with deep clinical, epidemiological, and regulatory knowledge. We don’t just analyze your data—we help you use it to validate ideas, power decisions, and move confidently toward funding, publication, or market launch.

What We Offer

Exploratory Data Analysis (EDA)

Reveal trends, correlations, and outliers across high-dimensional health and omics datasets.
✔️ Data visualization
✔️ Clinical phenotype clustering
✔️ Outlier detection & harmonization

Predictive Modeling & AI

From machine learning to statistical inference, we tailor models to your use case.
✔️ Random forests, XGBoost, deep learning
✔️ Feature selection & cross-validation
✔️ Explainability (SHAP, LIME, counterfactuals)

Real-World Data (RWD) & EHR Analytics

Transform messy clinical data into real-world evidence.
✔️ Phenotyping algorithms
✔️ Time-to-event & longitudinal modeling
✔️ Regulatory-grade analytics (e.g., for FDA, payers)

Bioinformatics & Omics Integration

Bridge the gap between molecular data and clinical relevance.
✔️ Multi-omics data fusion
✔️ Variant interpretation & pathway analysis
✔️ Biomarker discovery pipelines

Dashboarding & Reporting

We build custom visualizations and evidence summaries to support:
✔️ Investors & board meetings
✔️ Clinical decision-making
✔️ Grant and journal submission

Who We Work With

• Biotech startups seeking to validate scientific hypotheses
• AI Health & Digital Therapeutics firms refining algorithms
• Health systems & academic labs mining EHR data
• Pharma teams generating evidence for RWE, safety, and stratification

Why BioEpiNet?

• Clinically grounded: Our data scientists work alongside MDs and epidemiologists
• PhD-led: Our team includes biostatisticians, ML researchers, and domain experts
• Flexible & confidential: From short-term analysis to embedded data science support
• Publication & regulatory ready: We support peer-reviewed output and FDA alignment

Recent Data Science Projects

• ICU risk prediction models validated on multi-center EHRs
• Genomic classifiers predicting drug response
• Predictive analytics dashboard for early-stage healthtech company
• Multi-omics analysis supporting biomarker discovery

Let’s Work Together

Whether you need a fractional data science team, peer-reviewed model validation, or a strategic partner in AI/ML deployment, BioEpiNet is ready to help.