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.
Beware of fraud agents! do not pay money to get a job
MNCJobs.co.uk will not be responsible for any payment made to a third-party. All Terms of Use are applicable.