Consulting Opportunity: DMPK Specialist About Edison Scientific 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. The Opportunity We're seeking an experienced DMPK Specialist for a flexible, part-time consulting engagement. You'll serve as our subject matter expert on the scientific integrity of our AI-generated DMPK outputs — covering PK analyses, ADME interpretations, human dose projections, and IND DMPK report sections. Your expertise will directly shape how our AI platform is trained and validated, with the potential to influence how DMPK is practiced across the AI industry. This engagement is designed to fit around existing commitments. This engagement is as-needed, part time with no fixed schedule or rigid hour requirements.

What You'll Do

Advise on the development of high-quality DMPK training data spanning the discovery-to-IND workflow — including in vitro ADME panels, in vivo PK across preclinical species, metabolite identification, NCA outputs, and PBPK/population PK simulations Provide guidance on optimal data sources, including synthetic generation, consortia, licensed datasets, and public PK/ADME databases Review and validate AI-generated DMPK outputs — PK parameter estimates, model fits, ADME interpretations, dose projections, and written report sections — for scientific accuracy and regulatory compliance Collaborate with our Engineering, Evals, and Science teams to benchmark agent performance against gold-standard DMPK workflows Provide expert input to help refine agent logic, data quality, and overall platform capabilities What We're Looking For 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 submissions Strong proficiency in PK modeling, with experience in at least one PBPK platform (Simcyp, GastroPlus, or PK-Sim) End-to-end ADME fluency Comfortable working independently as the primary DMPK voice in an advisory capacity Enthusiastic about working with AI/LLM tools to evaluate and improve scientific outputs Bonus Points Experience with regulatory DDI strategy, including PBPK-based DDI predictions submitted to FDA/EMA PK/PD modeling or quantitative systems pharmacology (QSP) experience Prior AI/ML work applied to DMPK or ADME property prediction Background at big pharma or CROs supporting large pharma IND programs