Назад
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5 дней назад

Co-op, Clinical Pharmacology & Pharmacometrics (QSP/AI/ML)

29 - 33$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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