Назад
Company hidden
13 дней назад

2027 Spring Co-op Machine Learning AI (Biotech)

47 - 60$
Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
2027 Spring Co-op Machine Learning AI (Biotech): Developing and validating AI/ML models for biologics pharmacology dynamics by integrating structural, preclinical, and clinical data with an accent on drug discovery, pharmacology, and data-driven decision making. Focus on designing and training biology- and pharmacology-based models, interpreting complex datasets, and supporting early drug development decisions.

Location: Cambridge, MA; must relocate to the office and work onsite 40 hours per week, Monday to Friday, for the full six-month co-op

Salary: $47–$60 per hour

Company

hirify.global is an R&D-driven biopharma company developing medicines and vaccines through science, healthcare innovation, and AI-powered research.

What you will do

  • Implement, develop, and validate data-based AI/ML models for drug discovery and development.
  • Predict pharmacology dynamics of biologics by integrating structural, preclinical, and clinical data.
  • Analyze and interpret preclinical and clinical datasets.
  • Design and train biology- and pharmacology-based models.
  • Support early drug development decisions across therapeutic areas and research platforms.

Requirements

  • Currently enrolled in a Master's or PhD STEM program and enrolled throughout the co-op.
  • Permanently authorized to work in the U.S. without current or future employment visa sponsorship.
  • Must be able to relocate to Cambridge and work onsite full time for the entire co-op.
  • Experience with Python and relevant libraries.
  • Experience with statistical or machine learning methods.

Nice to have

  • Knowledge of drug discovery and development, especially biologics.
  • Experience with large language models, deep learning, or time-series data modeling.
  • Strong written, presentation, and verbal communication skills.
  • Ability to work in a matrix and global environment.

Culture & Benefits

  • Mentoring and guidance from experienced leaders.
  • Access to current tools, digital innovation, and continuous learning.
  • Opportunity to contribute to real healthcare and drug development projects.
  • Supportive and collaborative working environment.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →