Simulations Plus, Inc.
201 - 500 employees
Founded 1996
💊 Pharmaceuticals
🧬 Biotechnology
☁️ SaaS
💰 Grant - Simulations Plus on 2024-11
Pharmaceuticals • Biotechnology • SaaS
Simulations Plus, Inc. is a science-driven software and consulting company that provides mechanistic modeling, AI-enabled workflows, and expert services to support model‑informed drug development (MIDD) across discovery, development, clinical operations, and commercialization. Its product suite includes GastroPlus (PBPK/PBBM), MonolixSuite (pharmacometrics), ADMET Predictor (ML for ADMET), DILIsym (quantitative systems toxicology), Thales (QSP), and Pro‑ficiency (learning/simulation), and the company offers consulting, training, regulatory strategy support, and bundled solution packages. Simulations Plus emphasizes mechanistic and AI-enabled tools for ADMET prediction, PBPK, pharmacometrics, QSP/QST and serves pharmaceutical and biotech clients (noting ~30+ years in business, ~280+ clients and use by 19 of the top 20 pharma companies).
Associate Product Enablement Specialist, AI
🕒 July 22
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Simulations Plus, Inc.
201 - 500 employees
Founded 1996
💊 Pharmaceuticals
🧬 Biotechnology
☁️ SaaS
💰 Grant - Simulations Plus on 2024-11
Pharmaceuticals • Biotechnology • SaaS
Simulations Plus, Inc. is a science-driven software and consulting company that provides mechanistic modeling, AI-enabled workflows, and expert services to support model‑informed drug development (MIDD) across discovery, development, clinical operations, and commercialization. Its product suite includes GastroPlus (PBPK/PBBM), MonolixSuite (pharmacometrics), ADMET Predictor (ML for ADMET), DILIsym (quantitative systems toxicology), Thales (QSP), and Pro‑ficiency (learning/simulation), and the company offers consulting, training, regulatory strategy support, and bundled solution packages. Simulations Plus emphasizes mechanistic and AI-enabled tools for ADMET prediction, PBPK, pharmacometrics, QSP/QST and serves pharmaceutical and biotech clients (noting ~30+ years in business, ~280+ clients and use by 19 of the top 20 pharma companies).
📋 Description
• support the enablement of AI-powered platform capabilities • assist with AI capability implementations • contribute to documentation efforts • provide first-line support to internal teams adopting AI capabilities • help operate the observability tooling • document edge cases and failure modes observed during testing • contribute to documentation projects
🎯 Requirements
• 0-2 years of professional related experience • Basic understanding of software applications and how they are built • Strong learning aptitude • Working proficiency in Python and/or TypeScript a plus • Basic understanding of containers (Docker or similar) • Curiosity about LLM-based systems and AI agents • Strong written communication • Detail-oriented, evidence-first approach • Time management skills
🏖️ Benefits
• fully remote work • flexible schedules • generous vacation policy • affordable health coverage • annual bonus
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