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Mercor

PK/PD Module expert: Translational / Clinical Pharmacology Decision-Maker
Warm Intro

This role requires an expert with a decision-maker’s mindset who has driven translational pharmacology decisions under governance and uncertainty. The expert will write dose rationales, encode decision heuristics into structured guidance, and surface unwritten decision rules used by senior translational leaders.

Key Responsibilities
  • Write “golden” FIH dose rationales and escalation strategies for representative programs.
  • Encode the decision heuristics and trade-offs used by senior translational leaders into structured guidance and rubrics.
  • Surface unwritten decision rules — when and why experienced teams override model-based recommendations.
Required
  • Has owned FIH starting dose, SAD/MAD design, and Phase 2 dose selection for multiple assets.
  • Participated in governance or review boards, defending dose/exposure rationale in front of senior leadership or regulators.
  • Demonstrates ability to balance nonclinical → clinical translation: tox, PK, PD, potency, and MoA.
  • Can articulate the real decision calculus behind dose selection (safety, pharmacology, speed-to-proof).
  • Capable of turning narrative judgment into explicit decision rules and rubrics for AI training and evaluation.
  • 10+ years in major biopharma or biotech or in specialized translational pharmacology consulting.
  • Has personally led FIH dose and/or SAD/MAD escalation for ≥2–3 assets.
  • Proven governance experience: IND sign-off, dose justification memos, exposure–response presentations.
  • CV or track record includes statements like “led clinical pharmacology strategy and FIH dose selection” or “accountable for exposure–response in Phase 1/2.”
  • Avoid pure modeling profiles; the ideal expert has decision accountability, not just analytical skill.
Company Overview

Industry: Healthcare Technology

Company Size: 500-1,000 employees

Founded: 2015

Headquarters: San Francisco, CA

Key Contacts

Contact information not available

About the Company

Leading healthcare technology company focused on improving patient outcomes through innovative digital solutions. We're transforming the way healthcare is delivered with cutting-edge technology and data-driven insights. Our platform serves over 10,000 healthcare professionals and has processed millions of patient interactions.

Recent News & Updates
Series B Raised $50M Series B funding - Jan 2024
Award Named "Best Healthcare Startup" by TechCrunch - Dec 2023
Growth Expanded to 5 new states - Nov 2023
The client is seeking an external expert who brings a decision-maker’s mindset — someone who has personally driven translational pharmacology choices under governance and uncertainty.

Who We’re Looking For

  • Has owned FIH starting dose, SAD/MAD design, and Phase 2 dose selection for multiple assets.
  • Participated in governance or review boards, defending dose/exposure rationale in front of senior leadership or regulators.
  • Demonstrates ability to balance nonclinical → clinical translation: tox, PK, PD, potency, and MoA.
  • Can articulate the real decision calculus behind dose selection (safety, pharmacology, speed-to-proof).
  • Capable of turning narrative judgment into explicit decision rules and rubrics for AI training and evaluation.


Experience Level

  • :10+ years in major biopharma or biotech (e.g., Lilly, Roche, AbbVie, Amgen, Novartis, GSK, Regeneron, Vertex, Incyte, Gilead) or in specialized translational pharmacology consulting.
  • Has personally led FIH dose and/or SAD/MAD escalation for ≥2–3 assets.
  • Proven governance experience: IND sign-off, dose justification memos, exposure–response presentations.
  • CV or track record includes statements like “led clinical pharmacology strategy and FIH dose selection” or “accountable for exposure–response in Phase 1/2.”
  • Avoid pure modeling profiles; the ideal expert has decision accountability, not just analytical skill.


Expectations

  • Write “golden” FIH dose rationales and escalation strategies for representative programs.
  • Encode the decision heuristics and trade-offs used by senior translational leaders into structured guidance and rubrics.
  • Surface unwritten decision rules — when and why experienced teams override model-based recommendations.


Inputs given:

  • Representative drug programs or data packets (GLP tox summaries, PK/PD tables, potency & MoA context).
  • Target prompts for translational decision-making (e.g., “Recommend FIH dose and escalation strategy given these data”).


Expected outputs:

  • Golden Decision Memos: exemplar dose justification memos that reflect the level of reasoning and format expected from top-tier translational pharmacologists.
  • Decision Rubrics: scoring guides capturing acceptable vs. unsafe dose rationales, missed edge cases, or failure modes.
  • Meta-Layer Commentary: short narrative explaining unspoken heuristics — how senior teams weigh risk tolerance, potency data, or tox uncertainty.
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