
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).
🕒 September 4
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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).
• Help design, build, and distribute agentic systems that surface scientific capabilities to customers • Build agent loops, orchestration code, and control structures balancing autonomy, cost, and latency • Make day-to-day decisions on prompts, tools, structured outputs, and provider tradeoffs across Anthropic, OpenAI, and others • Build and operate MCP servers exposing core scientific engines and product capabilities to agentic clients • Design and maintain context-management layers that feed agents the right information at the right time • Stand up vector stores, knowledge bases, and retrieval patterns for agent reasoning and customer-facing workflows • Build evaluations, traces, and feedback loops to debug and improve non-deterministic systems • Contribute to architectural patterns and technical standards • Mentor engineers contributing to AI features and raise applied-AI practice across the team • Perform other duties as assigned
• 5+ years of professional software engineering experience, with recent production work on agents, LLM-integrated features, or MCP and tool servers • Strong Node.js and TypeScript background • Comfort designing service-layer code and tool integrations • Working knowledge of agent orchestration, prompt and tool design, and context-management patterns (RAG, vector search, memory) • Hands-on experience with at least one major LLM provider SDK (Anthropic, OpenAI, or comparable) • Pragmatic, applied engineering mindset • Fluency using AI coding tools (Claude, Cursor, Copilot) in daily workflow • Comfort working across languages by leveraging AI coding tools • Bachelor's degree in computer science, engineering, or related field preferred • Master's degree in computer science, engineering or related field a plus • Relevant technical certifications welcomed
• Fully remote work • Flexible schedules • Generous vacation policy • Affordable health coverage • Annual bonus • Employee well-being support • Positive company culture
Apply Now🕒 September 3
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