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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко описанная стажировка в крупной биофармацевтической компании даёт практический опыт в клинических исследованиях и AI/ML, но строгие требования к участникам и работа в офисе заметно сужают круг тех, кому она подойдёт.
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Hirify AI/Оригинал
TL;DR
2027 Summer Intern EGDS (AI/ML) (biostatistics and clinical trials): Supporting the design, conduct, and analysis of early- and late-phase clinical trials with an accent on statistical methodology, computational tools, and evidence generation. Focus on literature reviews, AI/ML modeling, simulation approaches, and analyzing complex clinical and translational datasets under biostatistical mentorship.
Location: Morristown, NJ, with Cambridge, MA listed as another location; must be able to relocate to the office location and work onsite 40 hours per week, Monday to Friday, for the full 8–12-week internship.
Salary: $60 USD per hour.
Company
hirify.global is an R&D-driven, AI-powered biopharmaceutical company developing medicines and vaccines, with a focus on the immune system.
What you will do
Support the design, conduct, and analysis of early- and late-phase clinical trials.
Conduct methodological research under the mentorship of experienced biostatisticians.
Perform literature reviews and develop computational tools.
Implement AI/ML modeling and simulation approaches for clinical trials.
Requirements
Have completed at least two years of graduate coursework and be pursuing a PhD dissertation in statistics or biostatistics.
Be permanently authorized to work in the U.S. without requiring employment visa sponsorship at application or in the future.
Students on CPT, OPT, or STEM OPT generally do not qualify unless eligible for an alternative long-term status without company sponsorship.
Remain enrolled at an accredited college or university throughout the internship.
Be able to relocate to the office location and work 40 hours per week, Monday through Friday, for the full internship duration.
Nice to have
Strong academic background in statistics, biostatistics, or data science.
Experience with data analysis, data visualization, machine learning, and modern AI tools.
Ability to work independently and collaboratively in a multidisciplinary environment.
Culture & Benefits
Mentorship from experienced biostatisticians and inspirational leaders.
Supportive, collaborative, and future-focused team environment.
Opportunity to contribute to real healthcare and clinical research projects.
Access to digital innovation, modern tools, continuous learning, and professional development programs.
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