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. 

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