Translational Thesis Sprint — Modular Components

  • Execution Oversight & Fractional Leadership

  • Study design and data review to ensure decision-driving outputs

  • CRO and vendor selection, oversight, and scientific liaison support

  • Interim scientific leadership to maintain rigor, alignment, and momentum

Use when: Teams need objective and experienced scientific judgment without full-time headcount.

  • Data Integration & Gap Analysis

  • Review and synthesize existing in vitro, in vivo, and translational study datasets

  • Identify data gaps, help with objective interpretation and strategic conclusions

Use when: Teams have data but lack clarity on what it proves and what still needs to be done.

  • Model & Assay Fitness, Biomarker & Translational Readiness Evaluation

  • Assess disease models for clinical relevance, translatability, and limitations

  • Review assay strategy for robustness, selectivity, and partner or investor diligence

  • Evaluate bioanalytical & biomarker strategy for disease relevance, tech transfer, fit-for-purpose qualification, and alignment with clinical strategy

Use when: Programs are approaching key milestones (DCN, partnering, fundraising) and model/assay/preclinical readout strategy needs to inform clinical development or early trials.

  • Competitive Landscape & Differentiation Analysis

  • Focused competitive landscape analysis to contextualize biological claims

  • Bolster differentiation, risk mitigation, and positioning relative to current and emerging approaches

Use when: External communication, indication selection, or capital allocation decisions are imminent.