DMPK Specialist (Part-time Consultant)

Edison Scientific builds and deploys AI scientist agents to accelerate science and the development of new medicines. We are an ambitious team run by scientists and engineers from leading institutions across biology, physics, chemistry, and AI.

Role

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 opportunity is designed to fit around existing commitments. This engagement will likely be 15-20 hours per week but is ad-hoc in nature.

Responsibilities

• 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.

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 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 for

• 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

Note: our consulting opportunities do not offer benefits, including the ones shared below.