Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$122к-177к/год
$170к$190кмедиана$210к
По похожим ролям (49) ~ $190к/год
На СНГ рынке: $4.8к/мес ($3.9к - $6к)
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Крутая вакансия
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Чётко описанная ведущая роль объединяет продвинутое моделирование с задачами реального производства вакцин в крупной биофармацевтической компании, но требования к PhD и работе на месте в США делают вакансию узкоспециализированной.
?Высокий порог входа
Актуальные технологии
Разработка вакцин
Возможности роста
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Process Modeling (Protein/Antigen) Principal Data Scientist (AI/vaccine manufacturing): Developing AI, machine learning, mechanistic, and hybrid models for recombinant protein vaccine development and manufacturing with an accent on CHO cell culture, protein purification, digital twins, and process optimization. Focus on building simulation and decision-support tools, predicting product quality and yield, and leading cross-functional scientific modeling initiatives.
Location: Waltham, MA; US and Puerto Rico residents only
Salary: $122,250.00–$176,583.33 annually
Company
hirify.global is an R&D-driven, AI-powered biopharmaceutical company developing medicines and vaccines through immunoscience, data, and digital research.
What you will do
Lead the development and deployment of AI, machine learning, mechanistic, and hybrid models for recombinant protein vaccine process development and manufacturing.
Apply advanced analytics to identify critical process parameters, predict product quality, improve yield, and optimize process performance.
Develop models for CHO cell culture, baculovirus and insect cell expression systems, cell line development, and downstream purification operations.
Build digital twins, simulation tools, and decision-support frameworks for process optimization, scale-up, technology transfer, and lifecycle management.
Collaborate with process development, analytical sciences, manufacturing, and digital teams to turn process data and knowledge into actionable insights.
Provide scientific leadership and mentorship in AI, machine learning, data science, and process modeling.
Requirements
Ph.D. in Chemical Engineering, Bioengineering, Biotechnology, Computational Biology, Data Science, Applied Mathematics, or a related scientific discipline.
At least 2 years of relevant experience in the pharmaceutical industry.
Fluent English required.
Nice to have
Experience applying data science, machine learning, and process modeling in biopharmaceutical, biologics, vaccine, or related development environments, including recombinant protein production and manufacturing.
Expertise in AI, machine learning, multivariate data analysis, mechanistic and hybrid modeling, digital twins, process simulation, Bayesian optimization, and Design of Experiments.
Experience with CHO cell culture, baculovirus expression systems, protein purification, and/or cell line development.
Proficiency with Python, R, MATLAB, JMP, gPROMS, GoSilico, or equivalent scientific computing and modeling platforms.
Strong scientific leadership, problem-solving, communication, and cross-functional collaboration skills.
Culture & Benefits
Full-time role in a supportive, future-focused, and culturally inclusive environment.
Opportunities for promotion, lateral career moves, and international development.
Health and wellbeing benefits, including healthcare, prevention and wellness programs, and at least 14 weeks of gender-neutral parental leave.
Employee rewards and benefits are provided in line with the position and demonstrated experience.
Opportunity to work with diverse science, clinical, manufacturing, and digital teams on AI-enabled drug and vaccine development.
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