Senior Scientist QSP

Overview

About Certara

Certara is a growing company that provides a dynamic and exciting place to work. Our purpose is to assist in accelerating the development of meaningful medicines that make an impact on our society and the people that need them most. Innovation and creativity are highly valued, and everyone is given the opportunity for training and continuous development. Our portfolio spans the discovery, preclinical, clinical and post-marketing phases of drug development, working with 1,200 commercial companies, 250 academic institutions, and numerous regulatory agencies.

Responsibilities

The Certara Quantitative Systems Pharmacology (QSP) group is a global organization focused on the impactful application of QSP and mechanistic PKPD modeling and simulation in drug discovery and development. We are leading several first-of-its-kind QSP Consortia with more than 10 global pharmaceutical companies and have a rapidly expanding consultancy portfolio. Our QSP scientists work in close collaboration with other Certara staff and clients to generate and use state-of-the-art mechanistic models for decision making in pharmaceutical R&D. The models are designed in close dialogue with clients and developed with a view to creating user-friendly tools that will inform drug development programs from discovery to regulatory filing. We have unique capability to seamlessly integrate bespoke QSP models into the Simcyp physiologically based pharmacokinetic (PBPK) platform.

Qualifications

Requirements :

• Postdoctoral experience in systems modelling for drug discovery / development teams.
• PhD (or equivalent) in life sciences, engineering, computer sciences, mathematics physics or equivalent.
• Good understanding of PKPD, pharmacology and biology and its application in drug discovery and development.
• Very familiar and outstanding hands-on expertise with Matlab, Neuron or other similar modelling software.
• Strong publication record (commensurate with level of experience).

Certara bases all employment-related decision on merit, taking into consideration qualifications, skills, achievement, and performance. We treat all applicants and employees without regard to personal characteristics such as race, color, ethnicity, religion, sex, sexual orientation, age, nationality, marital status, pregnancy, physical or mental condition, genetic information, military service, or other characteristic protected by law.