Biology-driven expertise
Every drug development program moves at its own pace. We assemble the right mix of biology, data science, engineering, and software to deliver insights that form the foundation from initial experiments to late-phase studies that come with their own scientific realities.
How we work
Embedded expertise
Our scientists join your team directly. You get the capability without the overhead, with support that feels internal rather than outsourced.
Project delivery
Give us a defined question and we deliver the analysis, biological interpretation, and next steps. From single-cell pipelines to translational modeling, we take data from raw to actionable.
Tool-building
We build tools that bring your team value that you can continue to use. Dashboards you can explore, pipelines you can trust, and Bio|Verse® modules designed around your biology.
We work side by side with our clients on tech-enabled, biology-first solutions.
Partnership
We co-develop solutions from pilot to scale. Each project strengthens your internal capacity through reusable workflows and Bio|Verse® support.
Science
Our scientists explain what the data means, not just what it shows. The biology guides the analysis so decisions remains grounded.
Compliance
Every workflow is traceable, reproducible, and ready for regulated environments.
Software
We create architectures that make research connected and compliant, without slowing down your teams.
Service pillars
These are the core capabilities BioLizard brings to each engagement. They reflect how pharma and biotech teams work and how decisions move through discovery, translational research, and clinical development.
Biological intelligence
Understanding disease biology at a level that guides target selection, mechanism studies, and indication expansion. This is the foundation of all our work.
Biomarker discovery and Biomarker validation
Connecting omics layers to identify and rank biomarkers that matter, whether for early research, translational studies, or clinical validation.
Mechanism of action and therapeutic profiling
Mapping how interventions influence pathways, cell populations, and tissue environments, with integrated evidence from single-cell, spatial, proteomics, and metabolomics data.
Multi-omics integration and disease modeling
Bringing heterogeneous datasets into one coherent view. This includes Bio|Mx modeling, digital twins, and cross-species translation for programs that need strong biological grounding.
Data engineering and FAIR architectures
Building compliant, scalable infrastructures that keep complex datasets traceable and ready for analysis. Your teams can work faster without risking quality.
Clinical-grade scientific workflows
Robust pipelines for transcriptomics, proteomics, spatial data, and multi-modal integration. These workflows meet the expectations of Phase 1 through Phase 3 studies.
Scientific advisory and study design support
Targeted guidance on biomarker strategies, study design, partner packages, and scientific direction.
Regulatory, QA, and documentation frameworks
Documentation that meets the needs of CLIA, IVDR, and CSV standards, with transparent audit trails and reproducible pipelines.
Modular offerings
These are the reusable modules that sit on top of the pillars. They provide teams with plug-and-play solutions to explore biology, find targets, validate biomarkers, and move toward regulatory submission.
Single-cell modules
Single-cell analysis reveals where biological activity occurs, how cell populations behave, and which mechanisms are most important. These modules help teams explore disease architecture with precision.
- Target expression mapping
- Atlas-based insights
- Biomarker discovery
- Off-target detection
- Cell therapy profiling
- Mechanism of action assessment
Spatial modules
Spatial data shows how cells interact within real tissue environments. These modules uncover patterns that drive disease progression, treatment response, and safety signals.
- Spatial target mapping
- Tissue microenvironment analysis
- Spatial biomarker discovery
- Spatial mechanism profiling
- Spatial toxicity assessment
- Spatial assay development
- BioVerse-based visualization
Multi-omics modules
Complex programs need integrated evidence. These modules combine molecular layers into a coherent view, supporting discovery, translational research, and regulatory packages.
- Multi-modal integration packages
- Digital twin modeling
- IND and IMPD data packs
- Proteomics and metabolomics pipelines
These modules provide the structure.
The biology defines the direction.
