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انتهت بتاريخ ٢ أبريل ٢٠٢٦
Clinical Pharmacologist | Remote
وصف الوظيفة
Position: PK/PD Module expert: Translational / Clinical Pharmacology Decision-Maker
Type: Hourly contract
Compensation: $175–$250/hour
Location: Remote
Commitment: 10–40 hours/week
Role Responsibilities:
- Author high-quality (‘golden’) First-in-Human (FIH) dose rationales and escalation strategies for representative drug programs.
- Translate real-world translational pharmacology decision-making into structured guidance suitable for AI training and evaluation.
- Encode senior-level decision heuristics and trade-offs underlying dose selection (safety, PK/PD, potency, MoA, speed-to-proof).
- Develop clear decision rules and scoring rubrics to distinguish acceptable, unsafe, or incomplete dose rationales.
- Surface implicit judgment calls, including when experienced teams override model-based recommendations.
- Review provided nonclinical and clinical data packages (tox, PK/PD, exposure–response) to inform decision frameworks.
المسؤوليات
- Author high-quality First-in-Human (FIH) dose rationales and escalation strategies
- Translate real-world translational pharmacology decision-making into structured guidance for AI
- Encode senior-level decision heuristics and trade-offs underlying dose selection
- Develop clear decision rules and scoring rubrics
- Surface implicit judgment calls
- Review provided nonclinical and clinical data packages
المؤهلات
- Strong experience in translational or clinical pharmacology within major biopharma, biotech, or specialized consulting
- Direct accountability for FIH starting dose, SAD/MAD design, and/or Phase 2 dose selection across multiple assets
- Demonstrated governance experience, including participation in review boards, IND sign-off, or regulatory-facing dose justifications
- Proven ability to balance nonclinical and clinical inputs (tox, PK, PD, potency, MoA) under uncertainty
- Strong written communication skills with the ability to convert expert judgment into explicit rules and rubrics
- Decision-maker mindset with hands-on ownership