2 дня назад
Scientist, Quantitative Systems Pharmacology (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Scientist, Quantitative Systems Pharmacology (AI) (MATLAB/Julia/R): Developing and applying multiscale computational models of complex diseases to support model-informed drug discovery and development with an accent on mechanistic biology, clinical data analysis, and differential-equation modeling. Focus on analyzing simulation results, resolving model performance and accuracy issues, documenting model development, and communicating predictions to stakeholders.
Location: Morristown, New Jersey, United States; hybrid work
Company
is an R&D-driven, AI-powered biopharmaceutical company developing medicines and vaccines through immunoscience, data, and digital platforms.
What you will do
- Develop and apply multiscale computational models of complex diseases using detailed biological and mechanistic knowledge.
- Survey scientific literature to define physiological processes, model elements, data, parameters, and assumptions.
- Identify and analyze internal preclinical and clinical data for QSP modeling activities.
- Analyze simulation results and develop strategies to improve model performance and accuracy.
- Document model development and data analysis, maintain QSP expertise, and communicate modeling predictions to stakeholders.
Requirements
- PhD in systems pharmacology, systems biology, computational biology, biomedical engineering, or a related field, plus at least 2 years of postdoctoral experience in disease modeling or QSP; alternatively, a master’s degree with 4+ years of relevant industry experience.
- Strong publication and scientific presentation record.
- Proficiency in mathematical modeling using differential equations.
- Extensive experience with MATLAB, Julia, and R; MATLAB is preferred.
- Ability to learn pathophysiology and treatment approaches in immunology, communicate effectively, and work independently in a multidisciplinary environment.
Nice to have
- Experience in drug discovery or development, particularly bioinformatics or pharmacometrics.
- Knowledge of immunology.
Culture & Benefits
- Supportive, future-focused environment with opportunities for promotion, lateral moves, and international career development.
- Healthcare, prevention, and wellness benefits.
- At least 14 weeks of gender-neutral parental leave.
- Work at the intersection of drug discovery, AI, data, and digital platforms.
- Collaborative research focused on improving patient outcomes and accelerating drug development.
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