
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).
🔥 3 minutes ago
🇺🇸 United States – Remote
💵 $100k - $120k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
💻 Solutions Engineer
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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).
• Build, integrate, implement, and support enterprise AI, automation, and business system solutions • Design, build, configure, test, and deploy AI workflows, copilots, intelligent agents, and automation solutions • Develop agent instructions, prompts, tools, knowledge connections, APIs, retrieval mechanisms, guardrails, escalation paths, and human-in-the-loop workflows • Connect AI solutions with enterprise systems, applications, and data sources • Build reusable agent patterns, workflows, prompts, connectors, templates, and technical components • Implement evaluation, monitoring, exception handling, and quality controls for AI-enabled solutions • Troubleshoot and optimize deployed AI and automation solutions • Design, build, test, and support integrations between ERP, CRM, financial, project management, collaboration, operational, data, automation, and AI systems • Develop and troubleshoot REST APIs, authentication, connectors, data transformations, integration workflows, and event-driven processes • Configure enterprise applications, workflows, business rules, and related platform capabilities • Rapidly develop proofs of concept and working prototypes • Demonstrate prototypes, gather stakeholder feedback, and iterate on solutions • Convert successful prototypes into secure, tested, documented, supportable products and production solutions • Translate business and process requirements into technical designs, prototypes, implementation plans, and production solutions • Own assigned solutions through development, configuration, integration, testing, deployment, stabilization, and transition to ongoing support • Coordinate technical activities with business teams, IT, system owners, vendors, and implementation partners • Develop and execute technical testing, resolve defects, support user acceptance testing, and troubleshoot implementation issues • Support production deployments, post-implementation stabilization, and knowledge transfer • Participate in enterprise platform and business-system implementations throughout the implementation lifecycle • Implement security, privacy, responsible AI, data-use, testing, documentation, and change-control requirements • Create technical documentation, support materials, implementation records, and knowledge-transfer documentation • Communicate technical approaches, dependencies, risks, progress, and implementation issues to stakeholders • Provide hands-on technical support and guidance to analysts, system administrators, process owners, and implementation teams
• 3+ years of experience in systems integration, enterprise applications, software or low-code development, intelligent automation, AI enablement, or related technical roles • Demonstrated hands-on experience building, configuring, integrating, testing, deploying, or supporting enterprise technology solutions • Hands-on experience with AI-enabled workflows, copilots, intelligent agents, retrieval-augmented solutions, generative AI applications, or similar AI technologies • Experience with enterprise systems and platforms such as ERP, CRM, Microsoft Power Platform, Copilot Studio, Dynamics, Salesforce, Freshworks, or comparable technologies • Experience working with REST APIs, authentication, data flows, connectors, integration workflows, and related integration technologies • Experience developing proofs of concept, prototypes, automations, integrations, or internal technology solutions • Ability to translate business requirements and ambiguous problems into practical technical solutions • Ability to work across development, configuration, integration, testing, deployment, troubleshooting, and production support • Understanding of human + AI workflows, including prompts, tools, knowledge sources, guardrails, evaluations, exception handling, and human oversight • Experience participating in enterprise application or cross-functional technology implementations • Strong problem-solving, technical documentation, communication, and collaboration skills • Experience working in regulated or enterprise environments preferred • Experience in life sciences, healthcare, GxP, SOX, or similarly regulated environments preferred • Occasional travel required for meetings, training, and conferences • Bachelor's degree in information systems, computer science, engineering, operations, pharmaceutical sciences, or a related field or equivalent combination of education and relevant professional experience • Cloud, Microsoft, AI, automation, integration, or enterprise application certifications a plus
• Fully remote work • Flexible schedules • Generous vacation policy • Affordable health coverage • Annual bonus
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