5 дней назад
Co-op, Clinical Pharmacology & Pharmacometrics (QSP/AI/ML)
29 - 33$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Co-op, Clinical Pharmacology & Pharmacometrics (QSP/AI/ML): Developing mechanistic QSP models and performing model-based meta-analyses for autoimmune drug-development programs with an accent on quantitative systems pharmacology, AI/ML workflows, and integration of preclinical and clinical data. Focus on building computational models, applying evidence-synthesis methods, and generating quantitative insights for portfolio strategy and dosing decisions.
Location: Remote, USA; legal authorization to work in the U.S. is required.
Salary: $29–$33 per hour.
Company
is a mid-sized biotechnology company developing life-changing medicines through research, clinical development, and regulatory collaboration.
What you will do
- Develop and refine mechanistic Quantitative Systems Pharmacology models for drug discovery and development programs.
- Explore and evaluate AI and machine learning methods for QSP modeling workflows.
- Perform Model-Based Meta-Analyses to generate evidence for portfolio strategy and drug-development decisions.
- Analyze and interpret preclinical, clinical, biological, omics, and literature-derived data.
- Apply industry-standard data-handling and modeling practices and present project progress internally.
- Prepare external posters and manuscripts when applicable and support additional Clinical Pharmacology & Pharmacometrics activities.
Requirements
- Legal authorization to work in the U.S. and enrollment in an accredited educational institution or skills program are required.
- Applicants must be at least 18 years old before the scheduled start date.
- Ph.D. candidate in the third year or above with quantitative, computational, or mechanistic modeling experience.
- Master’s or Pharm.D. candidates with modeling, data analysis, or computational biology experience may also be considered.
- Experience with mathematical, computational, or systems biology models and biological or clinical data analysis.
- Proficiency in R, Python, MATLAB, or similar scientific computing tools, with strong quantitative reasoning and communication skills.
Nice to have
- Studies in Quantitative Systems Pharmacology, Pharmaceutical Sciences, Clinical Pharmacology, Pharmacokinetics, Systems Biology, Computational Biology, Biomedical Engineering, Biostatistics, Applied Mathematics, Data Science, or a related quantitative life-science discipline.
- Familiarity with meta-analysis, model-based analysis, or evidence synthesis.
Culture & Benefits
- Collaborative and flexible environment across Research, Clinical Development, Regulatory, and other functions.
- Exposure to quantitative modeling, AI/ML, and model-based drug development in the autoimmune therapeutic area.
- Company-paid holidays, commuter benefits, and participation in Employee Resource Groups.
- 80 hours of sick time per calendar year.
- Six-month student placement from January through June 2027.
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