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Job Overview
Location
Boulder, CO.
Job Type
Full-time
Category
Product Management
Date Posted
October 18, 2025
Full Job Description
đź“‹ Description
- • Own the clinical pharmacology strategy for a portfolio of first-in-class natural-product therapeutics advancing from IND to proof-of-concept. You will define the quantitative roadmap for dose selection, exposure-response relationships, and special-population dosing across multiple therapeutic areas including fibrosis, inflammation, and metabolic disease.
- • Design and execute adaptive Phase I trials that integrate sparse PK sampling, population PK/PD modeling, and real-time safety dashboards. Your protocols will leverage remote micro-sampling devices, wearable sensors, and cloud-based data capture to reduce patient burden while maximizing information yield.
- • Translate pre-clinical ADME data into human starting dose projections using physiologically-based pharmacokinetic (PBPK) modeling, allometry, and cross-specimal scaling. You will refine these models continuously as Phase I data emerge, ensuring that every subsequent cohort expansion is grounded in the latest evidence.
- • Serve as the single point of accountability for all clinical pharmacology deliverables: protocol synopses, statistical analysis plans, PK/PD reports, regulatory briefing books, and investigator brochures. You will orchestrate cross-functional review cycles that compress document turnaround times without sacrificing scientific rigor.
- • Build and lead a team of clinical pharmacologists, PK/PD modelers, and translational scientists. You will set hiring standards, design onboarding curricula, and create a mentorship framework that turns junior PhDs into industry-ready drug developers within 18 months.
- • Represent Enveda in scientific due-diligence discussions with potential pharma partners and investors. You will distill complex PK/PD concepts into compelling narratives that demonstrate differentiated clinical risk mitigation and accelerated development timelines.
- • Partner with the AI/ML group to embed mechanistic PK models into the company’s discovery engine. Your feedback loops will refine in-silico predictions of human clearance, volume, and bioavailability, enabling earlier go/no-go decisions on thousands of natural-product scaffolds.
- • Oversee global CRO networks for bioanalytical assay development, validation, and sample analysis. You will negotiate master service agreements, set analytical acceptance criteria, and audit data integrity to ensure every concentration-time point meets FDA and EMA standards.
- • Champion regulatory innovation by authoring IND safety sections that justify novel botanical starting doses and by preparing breakthrough-therapy briefing packages that highlight exposure-based biomarkers for accelerated approval pathways.
- • Embed pharmacokinetic literacy across the organization through quarterly lunch-and-learns, interactive R-shiny dashboards, and Slack-based Q&A channels. Your evangelism will empower colleagues in chemistry, biology, and clinical operations to make data-driven decisions autonomously.
- • Drive continuous benchmarking against industry leaders—adopting best practices from organizations like IQ Consortium and ASCPT—and then pilot next-generation methodologies such as model-informed drug development (MIDD) and physiologically-based PK for botanical mixtures.
- • Celebrate victories with a team that recently achieved unicorn status, advanced three INDs in 18 months, and was named to the Forbes AI 50 list—because every optimized dose and every regulatory milestone is a testament to collective scientific excellence.
Skills & Technologies
About Enveda Biosciences Inc.
Enveda Biosciences applies metabolomics, machine learning, and high-throughput screening to translate natural-product chemistry into first-in-class small-molecule therapeutics. The company’s platform maps plant and microbial metabolomes, identifies bioactive compounds, and optimizes leads for inflammation, fibrosis, and gastrointestinal diseases. Headquartered in Boulder, Colorado, with laboratories in San Francisco and Amsterdam, Enveda leverages its proprietary knowledge graph and AI models to accelerate drug discovery from traditional botanical sources to clinical candidates.
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