Certara Professional Courses and Certifications

Cost - Free This complimentary course will teach you the new features, functionality and improvements available in Trial Simulator 2.3. Trial Simulation is used to optimize trial design to ensure greater success to meet trial objectives.  This course is intended  for users who have prior experience with Trial Simulator and who are upgrading to version 2.3.  Although certain sections might  help new users to better understand the aspects of trial simulation prior experience is recommended.  The course explains the new features that have been added and also contains a practical component to verify knowledge. There is no need to have the software installed locally to take this short course and do the practical sections. Course Content Introduction Installation, configuration, supported OS, other 3rd party compatibility Accessing study files and simulation results from previous version PK/PD Trial Simulation Demonstration [includes an interactive section] Plotting and Analysis using R Software within Trial Simulator [includes an interactive section] Conclusions Software Used Trial Simulator 2.3 (No need to install locally) Course Length:  The course provides approximately 2 hours of video instruction which includes a practical component that you can do at your own pace. It is expected to take participants about 4 hours to complete, including time to perform the tasks in Trial Simulator 2.3. Prerequisites Participants should have a good background in pharmacokinetics and pharmacodynamics modeling and simulation, and ideally, prior experience with Trial Simulator software. Instructor Christopher Mehl is a Senior Software Trainer with Certara University, and has been with Certara since 2003. His educational background is a BS in Molecular Biology from the Ohio State University, and an MS in Pharmacology from the University of Wisconsin. He has conducted over 200 training courses with Certara products such as Phoenix WinNonlin, IVIVC, NLME, PKS, and Trial Simulator. These include workshops at the US Food and Drug Administration, universities, customer sites, and courses open to the public. Read more

Certara Workshop at ACoP 2026 - AI Assisted Pharmacometrics Price: $150 (Academic $75) - Lunch Included For academic pricing, contact info@certarauniversity.com. Be prepared to offer some evidence (such as an academic email address or a student ID) that you are eligible for the discount. Course Description Population PK/PD modeling is the foundation of pharmacometrics. Yet the workflows behind it are slow, technically demanding, and hard to scale. What if the tools got out of the way and let you focus on the science? In this 3-hour hands-on workshop, Certara's Phoenix experts introduce two new tools that reimagine how population models are built and run.  Both tools rely on the trusted, industry-standard Phoenix NLME engine. Introduction First, you'll work with Model Designer, a browser-based pharmacometrics modeling tool built for scientists, not software engineers. With no installation and a guided, visual interface, you'll browse a curated model library, configure structural and statistical model features through intuitive options or author PML directly, and simulate and visualize results in real time. Then go further with our workflow agent, which brings the AI assistants you already use  (e.g., Cursor, Claude, and Codex) into the command-line interface for the versatile Phoenix Modeling Language. Describe your goal in plain language, and the assistant executes a complete RsNLME workflow: exploratory data analysis, base model development, stepwise covariate modeling, goodness-of-fit diagnostics, VPCs, and a reproducible, shareable report. You remain in control at each iteration and decision point. Scope This workshop covers: How to build, configure, and simulate population PK/PD models visually in Model Designer — no installation or coding required How agentic AI, powered by RsNLME's MCP server, can execute end-to-end modeling workflows from plain-language prompts How Model Designer and the workflow agent connect into one reproducible workflow, backed by the Phoenix NLME engine Objectives By the end of this workshop, it is anticipated that participants will be able to accomplish the items listed under Scope above using Model Designer and the Phoenix workflow agent. Style Join us for a hands-on session and a catered lunch at noon for a first look at where modeling is heading. Audience Proficiency with model specification and parameterization (coding skills not required) Location Chesapeake H., 2nd Floor of the Gaylord National Resort & Convention Center in National Harbor, Maryland (official industry workshop of ACoP2026) Date and Time Saturday, October 10, 2026 | 9am to noon, followed by lunch from noon to 1pm Requirements Your own laptop [Optional] - If you'd like to run the workflow agent we'll demonstrate in real time, you will need an active subscription to Cursor, Claude, or Codex. However, this is not required. Instructors James Craig, MS:  Staff Software Engineer with over 10 years of experience building scientific applications and leading cross-functional teams. He earned a Master’s in data science and analytics from the Claremont Colleges and is a maintainer of multiple R packages supporting Non-Linear Mixed Effects Modeling and pharmacometric workflows. Skilled in R, Shiny, Python, and diverse data-driven technologies. Passionate about bridging software, data science, and drug development. Samer Mouksassi, PhD is Senior Director, Application Scientist at Certara, recently returned after research at the UCSF Savic Lab. With 20+ years in model-informed drug development, 100+ projects spanning startups to global pharma, and 60+ peer-reviewed publications, he has contributed to regulatory approvals across FDA, EMA, PMDA, and beyond. A longtime advocate for accessible pharmacometrics tooling, Samer holds a PhD in Pharmaceutical Sciences from the Université de Montréal. Mark Sale, MD:  Dr. Sale has extensive experience conducting advanced pharmacometrics analyses across diverse therapeutic areas and developing novel machine learning methods to accelerate drug development. He received his M.D. from The Ohio State University and an M.A. in Biostatistics from Georgetown University. Dr. Sale completed a fellowship in clinical pharmacology at Stanford University and was an assistant professor of medicine and pharmacology at Georgetown University.  Dr. Sale is currently the Vice President of Product Management at Certara as well as a scientific advisor at RxStudio. Read more