pythonrmatlabgenerative aipharmacokineticspharmacodynamicsmrnapbpkqspquantitative systems pharmacology
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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В Company hidden чётко очерченная роль на стыке QSP, разработки лекарств и мРНК-науки с влиянием на проекты и сильной научной составляющей; при этом обязательная работа в офисе 70% времени ограничивает гибкость.
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Часто в офисеЧёткие задачиАктуальные инструментыСильная биотех-компания
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Manager, Quantitative Systems Pharmacology (mRNA): Developing and applying mechanistic QSP, PK/PD, PBPK, and translational models across Moderna’s therapeutic portfolio with an accent on integrating biological, preclinical, clinical, and literature data. Focus on model calibration, dose selection, preclinical-to-clinical translation, Generative AI-enabled workflows, and communicating quantitative recommendations to multidisciplinary drug development teams.
Location: Melbourne, Australia; hybrid 70% in-office work model.
Company
hirify.global develops an mRNA technology platform and medicines intended to transform how treatments are created and delivered.
What you will do
Develop and apply quantitative systems pharmacology models across hirify.global’s therapeutic portfolio and mRNA platform.
Build mechanistic PK/PD, PBPK, and translational models to characterize drug disposition, pharmacological activity, dose, exposure, biomarkers, and clinical response.
Apply modeling and simulation to candidate selection, preclinical-to-clinical translation, first-in-human dose selection, dose escalation, and dose-regimen optimization.
Integrate in vitro, in vivo, clinical, and literature data; perform calibration, parameter estimation, sensitivity analysis, uncertainty analysis, and simulation.
Collaborate with Pharmacology, Toxicology, Translational Medicine, Research, Clinical Development, and other cross-functional disciplines to support program decisions.
Communicate modeling strategies, assumptions, results, and recommendations to multidisciplinary teams and scientific leadership; contribute to regulatory documents and interactions.
Requirements
PhD in pharmaceutical sciences, biomedical engineering, chemical engineering, systems biology, computational biology, applied mathematics, or a related quantitative discipline.
Experience developing and applying mechanistic mathematical models to biological or pharmacological systems.
1–4+ years of experience in quantitative pharmacology, including QSP, PK/PD, PBPK, or other mechanistic or differential equation-based modeling approaches supporting drug discovery and development.
Strong knowledge of pharmacology, pharmacokinetics, drug development, and quantitative analysis.
Experience integrating and analyzing preclinical and/or clinical pharmacology data for model development and simulation.
Proficiency with quantitative modeling and scientific computing software such as MATLAB/SimBiology, R, Python, or similar platforms.
Ability to independently formulate biological and pharmacological questions into quantitative modeling strategies.
Strong scientific communication skills for explaining complex modeling concepts and results to quantitative and non-quantitative audiences.
Demonstrated ability to collaborate effectively in multidisciplinary and cross-functional teams.
Culture & Benefits
In-person collaboration supported by a 70/30 work model, with significant office-based work and direct mentorship.
Healthcare and voluntary benefit programs, with offerings varying by employment type and country.
Fitness, mindfulness, and mental health resources.
Family-building support, including fertility, adoption, and surrogacy benefits.
Paid time off including vacation, bank holidays, volunteer days, sabbatical, global recharge days, and a discretionary year-end shutdown.
Savings and investment programs, plus location-specific perks.
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