Intern - Quantitative Systems Pharmacology

Job description

Project One:

Genentech is looking for a summer intern in the Quantitative Systems Pharmacology (QSP) group within the Pharmacokinetic/Pharmacodynamic Sciences Division of Development Sciences. The summer intern will work with Genentech scientists on a highly impactful project. The project includes developing and bench-marking algorithms/tools utilized for QSP model development efforts. These include stochastic global optimization methods (Scatter Search, Particle Swarm Optimization, Tabu Search, etc.) & global sensitivity analyses approaches. The intern will get an opportunity to work with existing in-house QSP models & become familiar with Genentech's workflow for QSP model development and its contribution to drug development. The research project will primarily be executed in MATLAB and associated toolboxes (SimBiology, Global Optimization and Parallel Computing) and Amazon Web Services (AWS) computational resources. The summer intern is expected to give a formal presentation at the end of the program. Minimum duration of the internship is for 3 months, however, the timing of the start date and end date can be flexible.

Project Two:

Genentech is looking for a summer intern in the Quantitative Systems Pharmacology (QSP) group within the Pharmacokinetic/Pharmacodynamic Sciences Division of Development Sciences. The summer intern will work with a Genentech scientist on developing a QSP model for a specific disease area of interest. The work includes exploration of inter-subject variability & uncertainties in the underlying mechanisms using a virtual population approach. The intern is responsible for advancing all aspects of model development, including literature data collection, model calibration and validation, and applications to address specific research questions. The intern will have the opportunity to gain further knowledge of drug development. The summer intern is expected to give a formal presentation at the end of the program. Minimum duration of the internship is for 3 months, however, the timing of the start date and end date can be flexible.

·  Who you are

In hiring new employees, we look for people who are also inspired by our mission and who would fit in well with the collaborative, rigorous and entrepreneurial spirit of the company culture. Because we know that employees are critical to our success in bringing novel medicines to patients, we are dedicated to remaining a great place to work and to providing employees with programs, services and benefits that allow them to bring the best to the business and to their personal lives.

·  You're someone who wants to influence your own development. You're looking for the opportunity to pursue your interests and become proficient in a technique/skill that can influence/improve drug development
·  M.S/Ph.D/Pharm.D. degree in progress – engineering (biomedical, chemical, electrical, and mechanical), applied math, pharmaceutical sciences, or systems biology related fields preferred
·  Applicants must be currently enrolled in an academic program
·  Strong interpersonal and oral/written communication skills

Project One:

·  Hands-on experience with global optimization methods
·  3+ years experience with Matlab

Project Two:

·  Hands-on experience with model development of biological processes
·  3+ years experience with Matlab
·  Experience with Simbiology is preferred
·  Who we are

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 35 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Roche is an equal opportunity employer and strictly prohibits unlawful discrimination based upon an individual's race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, mental/physical disability, medical condition, marital status, veteran status, or any other characteristic protected by law.