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About the Engagement
VivaMed is seeking a consultant with strong drug discovery judgment and computational fluency to help evaluate AI-assisted therapeutic hypotheses before they advance to external validation, CRO review, or deeper development planning.
This role is focused on scientific pressure-testing, translational screening, and evidence-bounded triage. The consultant will help determine whether a therapeutic hypothesis has a credible mechanism of action, disease-biology rationale, translational path, and practical development logic.
This is not a pure coding role, and it is not a narrow academic bioinformatics role. The ideal consultant understands how therapeutic hypotheses move from biological rationale to translational feasibility,
experimental validation, clinical feasibility, and development decision-making.
Core Mission The consultant will help VivaMed distinguish promising AI-assisted therapeutic hypotheses from those that require additional clarification, deeper validation, or deprioritization. The role sits between AI-
assisted hypothesis generation and external validation planning.
The consultant will support a structured hypothesis triage and project prioritization workflow, helping selected hypotheses progress toward actionable, de-risked project concepts suitable for validation planning, external expert review, CRO engagement, and clinical feasibility assessment.
Key Responsibilities
- Scientifically review AI-assisted therapeutic hypotheses across multiple program categories,
including drug repurposing, combination therapy, biomarker-defined rescue, selected formulation or delivery concepts, and selected biologic or biobetter concepts.
- Assess mechanism-of-action plausibility, disease-biology fit, target-indication rationale, and
translational relevance.
- Identify speculative, weakly supported, redundant, or non-actionable hypotheses before external
escalation.
- Evaluate whether available literature, human genetics, expression data, clinical precedent,
pharmacology, disease biology, and prior development history support the proposed therapeutic rationale.
- Review drug repurposing and indication-expansion opportunities for biological plausibility,
clinical relevance, and development feasibility.
- Assess combination therapy concepts for mechanistic complementarity, redundancy, toxicity
overlap, dose and schedule feasibility, and translational logic.
- Support biomarker-defined rescue or CDx-related hypotheses by evaluating whether the
biomarker is mechanistically linked, clinically actionable, and suitable for patient stratification.
- Consider prior clinical data, real-world evidence, label context, and 505(b)(2)-relevant
development logic where applicable.
- Help define advance, hold, or shelve recommendations with explicit scientific rationale.
- Contribute to standardized triage templates, evidence summaries, and decision-ready scientific
rationale packages.
- Collaborate with internal scientific, business, computational, and CRO-facing stakeholders.
- Help improve the scientific quality of VivaMed's AI-assisted pipeline without creating
unnecessary complexity or over-reliance on speculative computational outputs.
Relevant Program Areas The consultant may support hypotheses across:
- CNS and neuropsychiatric disorders
- Pain and addiction
- Cardiometabolic and metabolic-inflammatory disease
- Rare disease
- Selective immuno-oncology or immunology
- Drug repurposing and indication expansion
- Combination therapy
- Biomarker-defined rescue or precision-medicine concepts
- Selected formulation, route, or biologic concepts where translational review is needed
Expected Outputs
Typical deliverables may include
- Scientific triage memos
- Mechanism-of-action and disease-biology reality checks
- Drug repurposing plausibility assessments
- Combination rationale and risk summaries
- Biomarker-defined rescue assessments
- Advance, hold, or shelve recommendations
- Evidence-gap and kill-criteria summaries
- Clinical feasibility and development-path considerations
- Validation-planning rationale for internal or CRO-facing review
- Recommendations for additional computational, literature, real-world evidence, or experimental
validation
Required Qualifications
- PhD, MD/PhD, PharmD with substantial drug discovery or translational research experience, or
MS with significant pharma-facing experience, preferably 15+ years, in a relevant field such as translatio
