Computational AI Scientist - Advanced Software Talent

Key Responsibilities

• Design and implement machine‑learning and deep‑learning models to predict drug behavior and support pharmacometric analyses.
• Develop agentic AI workflows that automate data preprocessing, model selection, and result interpretation for clinical pharmacology projects.
• Collaborate with cross‑functional scientists to integrate AI solutions into quantitative drug development pipelines.
• Validate model performance using Bayesian statistical methods and ensure compliance with regulatory standards.
• Document algorithms, produce reproducible code, and present findings to technical and non‑technical stakeholders.

Requirements

• Advanced degree (PhD or MS) in Computer Science, Bioinformatics, Pharmacology, or a related quantitative field.
• 5+ years of experience applying Python‑based machine learning and deep learning (TensorFlow or PyTorch) to biomedical or pharmacometric data.
• Strong knowledge of Bayesian statistics and pharmacokinetic/pharmacodynamic modeling.
• Proven ability to translate complex clinical data into actionable AI models and automated workflows.
• Excellent problem‑solving skills and ability to work independently in a fast‑paced, onsite environment.