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Associate Director Systems Modeling

Plats Gaithersburg, Maryland, USA Jobb-id R-148759 Datum inlagd 09/23/2022

Associate Director Systems Modeling

The Systems Medicine group is seeking a Systems Modeler passionate about using mathematical and computational skills to develop and apply empirical and/or mechanistic models of Pharmacology and Toxicology. The group is under Clinical Pharmacology & Quantitative Pharmacology Department and consists of > 20 mathematical modelers with backgrounds in pharmacometrics, computational biology, and/or biomedical/chemical engineering.

Working in a dynamic, multidisciplinary environment the successful candidate support projects in both non-clinical and clinical phases. The candidate will develop and apply pharmacological mechanistic systems models to contribute to decisions on dose regimens by balancing efficacy and safety via modeling & simulation based on the understanding of the mechanism of action of investigational drugs.

The position will be based on our vibrant R&D sites in Gaithersburg, MD, USA.

To succeed in this role, we believe you have drug development experience and you are a person who enjoys working collaboratively with a variety of key stakeholders and collaborators to identify opportunities, build support and deliver innovative modeling and simulation solutions.

Main responsibilities:

  • Create, expand or refine mathematical models to address drug-discovery and nonclinical/clinical development questions

  • Lead compound-specific projects with hands-on analysis by choosing the best modeling approach to address questions

  • Contribute to the design, execution, and interpretation of clinical studies

  • Test and adopt existing modeling platforms

  • Review modeling works by colleagues, ensuring high-quality standards

  • Contribute to AZ drug development with innovative ideas

  • Stay informed with emerging literature and science in modeling and simulation sciences.

  • Collaborate well within the Systems Medicine group and cross-functional teams

  • Guide junior modelers

  • Represent AZ by publication, podium presentations, and/or organization of symposia


  • PhD or similar degree in pharmacometrics, chemical, mechanical or biomedical engineering, physics, applied mathematics or related field

  • At least 3 years of industry experience in building, validating, and using predictive mathematical models (PKPD/TKTD/mechanistic models) for drug development.

  • Excellent understanding of theory, principles and statistical aspects of mathematical modeling and simulation, including numerical methods, parametrization and ODEs.

  • Hands-on knowledge of modeling with ODEs, Agent-Based Modeling, Statistical and/or Machine Learning modeling, etc

  • Aptitude and experience to influence decisions and experimental design by using available data and appropriate modeling solutions

  • Self-directed, independent, and highly-motivated researcher who excels in a collaborative, multi-disciplinary environment.

  • Evidence of identifying, developing, and applying innovative solutions to scientific and technological problems faced in systems and predictive modeling

  • Familiarity with the challenges of drug discovery and forward thinking with respect to the general application of mathematical models in drug discovery and development

  • Excellent oral and written communication skills and the ability to interact effectively with scientists in other subject areas with a positive and collaborative attitude

  • Experience with data analysis tools and languages such as R, Matlab and/or Python.

  • Ability to learn new areas of biological sciences and build on solid foundation of quantitative skills to develop models.

  • Ability to keep up to date with and propose the implementation of scientific and technological developments.

  • Ability to interact across pre-clinical and clinical teams.

  • Ability to keep up with new modeling approaches and propose implementation of scientific and technological developments in the areas of QSP/QST

  • Prior experience of at least 4 years of systems modeling for drug development

  • Experience in linking QSP/QST and pharmacokinetics to predict safe and efficacious doses

  • At least 5 published papers

Preferred Skills and Qualifications

  • Exposure to current principles and concepts in DMPK, Toxicology and Safety

  • Experience with PK, PKPD, TKTD modeling and joint longitudinal modeling tools or any other relevant software.

  • Knowledge of models of biological pathways/systems to support translational research.

  • Familiarity with the challenges of drug discovery and forward thinking with respect to the general application of mathematical models in discovery and development.

  • Evidence of identifying, developing, and applying innovative solutions to scientific and technological problems faced in systems and predictive modeling.

  • Scientific leadership as evidenced by publication record.

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.

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