QSP Modeling Internship

Simulations-Plus,-Inc; United States; Remote; USD 34,000 - 39,000; Full time

Job summary

Simulations-Plus, Inc. is seeking a QSP Modeling Intern to work with the QSP Solutions Team. The role is remote and typically runs from June to August, focusing on data-driven QSP/QST projects and model development.

You will code in MATLAB or Python, build sub-models for inflammatory, metabolic, and other disease areas, and prepare deliverables for internal teams and external reports.

Qualifications

• Currently pursuing a PhD or Master’s in pharmaceutical sciences, applied mathematics, engineering, or a related field.
• Strong communication, data analytics, and organizational skills are required.

Responsibilities

• Review, compile, and assemble data for QSP/QST projects.
• Design, write, test, and use code to build biological sub-models in MATLAB or Python.
• Represent compounds in modeling platforms and translate data to model parameters.
• Support team goals with QSP/QST modeling and software development tasks.
• Combine modeling with project management and software maintenance.
• Prepare reports and deliver final project deliverables for review.
• Assist in preparing manuscripts and conference abstracts.
• Perform other duties as assigned.

Skills

Verbal communication

Written communication

Data analytics

Organizational skills

Time management

Team player

Self-motivated

Confidentiality

Education

PhD/Master’s in related field

Tools

MATLAB

Python

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

QSP Modeling Internship

Intern US

Salary Range: $25.00 To $28.00 Hourly

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