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DMPK Consultant

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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 will likely be 5-20 hours per week.

What You'll Do

  • Knowledge sharing about "day-in-the-life" as an expert working with data in these domains to assemble regulatory submissions.

  • Describing common tasks or problems where AI could be of value in your workflows.

  • Identify + describe internal pharma systems that are commonly used for standard workflows.

  • Generate or review reference ground-truth artifacts to evaluate against - reports, data files, modules, etc.

  • Identify + add realistic sources of variance or data corruption in study data.

  • Identify and correct discrepancies in data quality.

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