Simulations Plus stands as a global leader in model-informed and AI-accelerated drug development. We create value for our clients by accelerating the discovery, development, and commercialization of pharmaceuticals and other products through innovative science-based software and consulting solutions. The Quantitative Systems Pharmacology (QSP) Modeling Intern will work hand in hand with our amazing modeling team to successfully complete a variety of projects, goals, and analyses. Internships normally run from June to August. Department: QSP Solutions Team Internal Grade: 2 Direct Reports: No Status: Non-Exempt Location: Remote Job Responsibilities May Include: • Review, compile, and assemble data and related information for one or various critical QSP and/or Quantitative Systems Toxicology (QST) projects • Design, write, test, and use computer code to build and maintain the biological sub-model(s) related to a given core area (e.g., QSP models of inflammatory, fibrotic, metabolic, and autoimmune diseases, and immuno-oncology; QST models of liver and kidney safety) and/or general software development • Represent compounds in these modeling platforms, including translation of laboratory or clinical data into model parameters • Contribute to the activities required for successful completion of the QSP Solutions Team’s goals, including those of various internal research and development efforts • Combine technical and project management work, including components such as QSP/QST modeling, software code development, and maintenance in MATLAB, Python, or other designated software environments • Prepare reports and presentations and present critical final deliverables for all projects • Participate in preparation and review of manuscripts and/or conference abstracts • Other duties as assigned Qualifications: • Previous QSP modeling or related experience preferred • Great verbal and written communication skills • Strong data analytics and organizational skills • Manage personal workflow to meet deadlines • Build and maintain positive working relationships • Good team player who meets and exceeds goals • Self-motivated, confident, energetic, and creative • Always maintain client confidentiality Education: • Currently working towards a PhD or Master’s degree in pharmaceutical sciences, applied mathematics, engineering, or related field