> Markdown version of [/jobs/ext/3957102-pharmacokinetics-expert-systems-biology-ai-trainer](https://www.wearedevelopers.com/jobs/ext/3957102-pharmacokinetics-expert-systems-biology-ai-trainer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Pharmacokinetics Expert - Systems Biology - AI Trainer - **Company:** Mercor, Inc. - **Location:** San Diego, CA, United States (Remote available) - **Salary:** $145,600.0 - $176,800.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Linux, Python (Programming Language), Machine Learning, Containerization, Software Library - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/pharmacokinetics-expert-systems-biology-ai-trainer-san-diego-ca--60e583ee-b676-4ac1-89b9-bf1fc47903d6 ## About the Role Pharmacokinetics, Artificial Intelligence (AI), Training/Teaching, Biology, Artificial Intelligence (AI), Benchmarking, Research Laboratory, Science Software, Testing, Linux Operating System, Must-Have * Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience). * Proven proficiency with at least one of the listed scientific software libraries. * Strong Python skills. * Ability to work independently and refine problem designs. * Comfortable in a Linux/terminal environment. Preferred * Experience across multiple listed domains or tools. * Familiarity with benchmark or evaluation design. * Background in scientific teaching or exam/problem-set design. * Experience with computational reproducibility and containerized environments. ## Description * Develop problems requiring the skilled use of specialized software like libRoadRunner, Tellurium, or SBML-based tools. * Evaluate and refine problems through testing loops against state-of-the-art AI models. * Collaborate to ensure problems require strategic thinking and smart reasoning. * Work independently to refine problem designs based on feedback. * Operate comfortably in a Linux/terminal environment with remote compute sandboxes., PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.