Simulations Plus, Inc.
Associate Product Enablement Specialist, AI
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Job Description
Simulations Plus stands as a premier provider in the biopharma sector, offering advanced software and consulting services that enhance drug discovery, development, research, clinical trial operations, regulatory submissions, and commercialization.
Our comprehensive biosimulation solutions integrate artificial intelligence/machine learning, physiologically based pharmacokinetics, physiologically based biopharmaceutics, quantitative systems pharmacology/toxicology, and population PK/PD modeling approaches.
We also deliver simulation-enabled performance and intelligence solutions alongside medical communications support for clinical and commercial drug development. Our cutting-edge technology is licensed and utilized by leading pharmaceutical, biotechnology, and regulatory agencies worldwide.
Leadership truly cares about maintaining a positive culture and employee well-being. We offer fully remote work, flexible schedules, and generous vacation policy along with affordable health coverage, annual bonus, and more! Check out how much our employees love working here: https://www.comparably.com/companies/simulations-plus.
The Associate Product Enablement Specialist, AI will serve as an associate professional supporting the enablement of AI-powered platform capabilities across the company ecosystem, under the guidance of senior team members. The role contributes to the implementation, testing, evaluation, and operational readiness of AI agents and AI-assisted workflows, with an initial focus on the evaluation pipelines and observability tooling used to measure their quality, reliability, and cost. Measurement is the foundation of enablement, and this role helps build and operate it.
The role will assist with AI capability implementations, support evaluation and testing activities, contribute to documentation efforts, and provide first-line support to internal teams adopting AI capabilities. This individual contributor role offers structured learning
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