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Head of DMPK
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Edison Scientific
San Francisco, CA (In Person)
$312,500 Salary, Full-Time
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Job Description
Head of DMPK Edison Scientific San Francisco, CA Job Details Full-time $275,000 - $350,000 a year 13 hours ago Benefits Health insurance 401(k) matching Qualifications FDA submissions Scientific research In vitro studies Regulatory submissions In vivo studies Full Job Description Location San Francisco Employment Type Full time Location Type On-site Department Discoveries and Collaborations Compensation $275K - $350K About Edison Scientific builds and commercializes AI agents for science. Scientific discovery moves too slowly, and autonomous AI agents are how we intend to fix that. We're assembling a team of top researchers and engineers across AI and biology to build an AI scientist. Role We're looking for a DMPK Specialist to join the Edison team as Head of DMPK . You'll own the scientific integrity of our agentic DMPK pipeline, setting the standard for every AI-generated PK analysis, ADME interpretation, human dose projection, and
This role is on-site at our San Francisco office in the Dogpatch neighborhood. Our office is a converted warehouse with high ceilings, open space, and a team that genuinely believes in what they're building. Responsibilities Generate and architect high-quality DMPK training data spanning the discovery-to-IND workflow, in vitro ADME panels, in vivo PK across preclinical species, metabolite identification, NCA outputs, and PBPK/population PK simulations. Identify optimal data sources, synthetic generation, consortia, licensed datasets, public PK/ADME databases, and beyond. Evaluate and validate AI-generated DMPK outputs (PK parameter estimates, model fits, ADME interpretations, dose projections, written report sections) for scientific accuracy and regulatory compliance. Collaborate with Engineering, Evals, and Science teams to benchmark and improve agent performance against gold-standard DMPK workflows. Direct and improve agent logic to refine data quality and agent capabilities. Qualifications 10+ years of hands-on DMPK experience supporting programs from discovery through IND, or direct ownership of 10+ IND-reaching programs. Proven ability to translate CRO bioanalytical data, in vitro ADME results, and in vivo PK study reports into FDA-ready
IND DMPK
report section we ship. Beyond maintaining rigor, you'll define and implement the scientific approaches that train and evolve our AI agents over time, with the potential to shape how DMPK is practiced across the AI industry. This role will report to the Head of Science.This role is on-site at our San Francisco office in the Dogpatch neighborhood. Our office is a converted warehouse with high ceilings, open space, and a team that genuinely believes in what they're building. Responsibilities Generate and architect high-quality DMPK training data spanning the discovery-to-IND workflow, in vitro ADME panels, in vivo PK across preclinical species, metabolite identification, NCA outputs, and PBPK/population PK simulations. Identify optimal data sources, synthetic generation, consortia, licensed datasets, public PK/ADME databases, and beyond. Evaluate and validate AI-generated DMPK outputs (PK parameter estimates, model fits, ADME interpretations, dose projections, written report sections) for scientific accuracy and regulatory compliance. Collaborate with Engineering, Evals, and Science teams to benchmark and improve agent performance against gold-standard DMPK workflows. Direct and improve agent logic to refine data quality and agent capabilities. Qualifications 10+ years of hands-on DMPK experience supporting programs from discovery through IND, or direct ownership of 10+ IND-reaching programs. Proven ability to translate CRO bioanalytical data, in vitro ADME results, and in vivo PK study reports into FDA-ready