[Remote] DMPK Consultant
Note: The job is a remote job and is open to candidates in USA. Edison Scientific builds and commercializes AI agents for science, aiming to accelerate scientific discovery through autonomous AI. They are seeking an experienced DMPK Specialist for a part-time consulting role to provide expertise on the scientific integrity of AI-generated DMPK outputs, influencing DMPK practices across the industry.
Responsibilities
- 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
Skills
- 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
- 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
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