QSP Modeling Internship

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.

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

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