PK/PD Module expert: Translational / Clinical Pharmacology Decision-Maker job opportunity at Weekday AI.

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Date2025-11-25T08:46:40.082Z bot
Weekday AI PK/PD Module expert: Translational / Clinical Pharmacology Decision-Maker
Experience: 10-years
Pattern: Part-time
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United States Of America

This role is for one of our clients Compensation : $175-$250 per hour We are looking for an external expert who brings true decision-maker accountability —someone who has personally driven translational and early clinical pharmacology decisions under real-world constraints, uncertainty, and governance scrutiny. This role requires deep judgment, not just modeling expertise. Who We’re Looking For Direct, hands-on ownership of FIH starting dose selection , SAD/MAD design , and Phase 2 dose recommendations across multiple programs. Experience presenting and defending dose/exposure rationales to governance committees, senior leadership, or regulatory bodies . Ability to integrate nonclinical → clinical translation across tox, PK, PD, potency, and mechanism of action. Strong understanding of the true decision calculus behind dose selection, including safety margins, pharmacologic confidence, and speed-to-proof considerations. Capable of converting expert judgment into explicit rules, heuristics, and rubrics suitable for training or evaluating AI systems. Important: This role is not for pure modelers — we need someone who has owned the decisions , not just the analyses. Experience Level 10+ years in biopharma, biotech, or specialized translational pharmacology consulting. Led FIH dose selection and/or SAD/MAD escalation strategies for 2–3 or more clinical assets . Demonstrated governance experience (e.g., IND dose justification, exposure–response strategy, Phase 1/2 rationale presentations). Track record containing statements such as: “Led clinical pharmacology strategy and FIH dose selection” “Accountable for exposure–response decisions in Phase 1/2” Deep understanding of how real-world translational decisions are made under uncertainty and conflicting data. Expectations Develop benchmark-level FIH dose rationales and escalation strategies for representative programs. Translate senior translational leaders’ decision heuristics into structured rubrics and guidance . Identify and articulate the unwritten rules that experienced teams apply when overriding model-based recommendations or when navigating ambiguous data. Inputs Provided Representative drug program packets (GLP tox summaries, PK/PD tables, potency and MoA information). Decision prompts (e.g., “Recommend FIH starting dose and escalation plan based on these data”). Expected Outputs 1. Golden Decision Memos High-quality dose justification documents mirroring what top-tier translational leaders produce—clear logic, grounded assumptions, and defensible rationale. 2. Decision Rubrics Structured scoring frameworks capturing: What constitutes a robust vs. unsafe dose rationale Key edge cases or red flags Typical failure modes in translational decision-making 3. Meta-Layer Commentary Short explanations of the implicit heuristics experts use—how risk tolerance, potency, tox uncertainty, and PK/PD evidence shape final decisions beyond purely model-driven recommendations. Engagement Model Contract / Part-time / Remote Deliverables are outcome-focused and executed flexibly.

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