What are the responsibilities and job description for the 2023 Experiential Internship - Quantitative Translational Pharmacology (California) position at AbbVie?
ABOUT ABBVIE
AbbVie’s mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women’s health, and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio.
For more information about AbbVie, please visit us at www.abbvie.com.
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QUANTITATIVE TRANSLATIONAL PHARMACOLOGY INTERNSHIP OVERVIEW
Envision spending your summer working with energetic colleagues and inspirational leaders, all while gaining world-class experience in one of the most dynamic organizations in the pharmaceutical industry. This is a reality for AbbVie’s Experiential Interns.
QUANTITATIVE TRANSLATIONAL PHARMACOLOGY OVERVIEW
The Quantitative Translational Pharmacology (QTP) group at AbbVie uses mathematical models to provide quantitative support for the development of new drug candidates at AbbVie. These models describe the pharmacokinetics (PK) and pharmacodynamics (PD) of the drug candidate and the QTP group uses these models in two ways: 1) at the end of the non-clinical phase - to provide projections for first-in-human dose levels, and 2) early in the development cycle - to assess what drug properties are required to effectively engage the intended biological target, a form of feasibility assessment. The QTP group aims to standardize these early feasibility assessments to increase the probability of technical success of new drug candidates. The goal of this project is to help standardize these early feasibility assessments by:
Creating a library of PK/PD models that can be used as “jumping off point” for individual assessments
Building a web-based app to make simulations of such Pharmacokinetic/Pharmacodynamic (PK/PD) models available to relevant stakeholders, allowing them to explore model predictions with different dose regimens and/or parameter values.
KEY RESPONSIBILITIES INCLUDE:
Implement PK/PD models in SimBiology/MATLAB
Build a web app environment hosted on AbbVie's intranet and available to certain stakeholders/collaborators. The app will serve as a generic wrapper (vehicle) that allows the administrator to exchange the underlying ODE model, and predefine which species are dosed, what parameters are used, what parameter values are to be adjusted by the app-user
- Utilize coding best-practices to ensure code can be maintained after project wrap-up (use of Git, testing routines, documentation)
MINIMUM QUALIFICATIONS
Currently enrolled in university, pursuing a PhD in Engineering, Statistics, Applied Mathematics, Pharmacology, or related field
Must be enrolled in university during the internship period
- Advanced experience programming in MATLAB and/or SimBiology
PREFERRED QUALIFICATIONS
Experience building web-based applications and user interfaces (e.g. R-Shiny, MATLAB Web Apps)
Ordinary differential equation (ODE)-based PK/PD modeling experience
BENEFITS AND AMENITIES
Competitive pay
Travel, transportation and lodging support for eligible students
- Break rooms stocked with complimentary coffee, tea, beverages, snacks, and cold breakfast items
- Onsite café and fitness center
EQUAL EMPLOYMENT OPPORTUNITY
At AbbVie, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients. As an equal opportunity employer we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information gender identity or expression, sexual orientation, marital status, protected veteran status, or any other legally protected characteristic.