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Be empowered to be innovative and creative where difference is valued
Join a place built on innovation and creativity where different views and perspectives are welcomed and valued. An environment that champions inclusion and teams that reflect the diversity of the communities we serve.
Follow the science to explore and innovate
Join the team unlocking the power of what science can do. We are working towards treating, preventing, modifying, and even curing some of the world’s most complex diseases. Here we have the potential to grow our pipeline and positively impact the lives of billions of patients around the world.
What you’ll do
The Systems Medicine group is seeking a Modelling and Simulation Specialist passionate about using mathematical and computational skills to develop and apply empirical or mechanistic models of Safety Pharmacology and Toxicology. The group is under the Department of Clinical Pharmacology & Quantitative Pharmacology and consists of mathematical modelers with pharmacy, pharmacometrics, computational biology, biomedical/chemical engineering or statistics backgrounds.
Working in a dynamic, multidisciplinary environment, the successful candidate support projects in both non-clinical and clinical phases. The candidate will develop and apply pharmacokinetics (PK), toxicokinetic (TK), pharmacodynamics (PD), Toxicodynamic (TD) or mechanistic systems models to investigate and translate in vivo safety findings from pre-clinical species into patient populations.
To succeed in this role, we believe you are a person who enjoys working collaboratively with a variety of key stakeholders and collaborators to find opportunities, build support and deliver innovative solutions.
The position will be based at our vibrant R&D site in Gothenburg, Sweden.
Main Duties & Responsibilities
Creating, expanding, or refining mathematical models to address drug discovery and development questions
Reviewing, analysing, and preparing available data for modelling purposes and applying the best modelling approaches to improve project decision-making
Developing and applying PKPD or TKTD models to enable the translation of safety findings from pre-clinical species to humans
Developing and using mathematical models to improve quantitative understanding of toxicity mechanisms based on literature and in-house data. This includes Identifying relevant data (in vitro and in vivo pre-clinical and clinical study data) for model development, optimization, and validation
Influencing experimental design by using available data and appropriate modelling solutions
Continuous collaboration with project teams and presenting modelling work
Contributing to developing and implementing new modelling and simulation strategies for drug safety
Staying up to date with emerging literature in modelling and simulation sciences
PhD or similar degree in pharmacy, pharmacometrics, chemical, mechanical, or biomedical engineering, physics, applied mathematics or related field
Excellent understanding of theory, principles and statistical aspects of mathematical modelling and simulation, including numerical methods, parametrization, and ODEs
Hand-on knowledge of modelling with ODEs and Statistical modelling
Programming proficiency and experience with relevant software tools, such as R, Python or MATLAB
Self-directed, independent, and highly motivated researcher who excels in a collaborative, multi-disciplinary environment
Excellent communication skills and the ability to quickly build positive and effective relationships across pre-clinical and clinical safety teams
Ability to learn new areas of biological sciences and build on a proven foundation of quantitative skills to develop models
Ability to keep up to date with and propose the implementation of scientific and technological developments
Industry or postdoctoral experience in building, validating, and using predictive mathematical models (PKPD/TKTD/mechanistic models)
Exposure to current principles and concepts in DMPK, Toxicology and Safety
Experience with PK, PKPD, TKTD modelling and joint longitudinal modelling tools such as Monolix 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 concerning the general application of mathematical models in discovery and development
Evidence of identifying, developing, and applying innovative solutions to problems faced in systems and predictive modelling
Scientific leadership, as evidenced by the publication record
At AstraZeneca, we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and ignite your entrepreneurial spirit. There’s no better place to make a difference in medicine, patients, and society. A culture that champions diversity and collaboration. Always committed to lifelong learning, growth, and development.