Назад
Company hidden
6 дней назад

2027 Future Talent Program - Data, AI, and Genome Sciences - Intern (AI/ML Data Science)

39 908 - 111 111$
Формат работы
hybrid
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 Future Talent Program - Data, AI, and Genome Sciences - Intern (AI/ML Data Science): Developing statistical and computational pipelines for perturb-seq datasets and validating in silico perturbation predictions from single-cell foundation models with an accent on single-cell omics, Python, and computational data science. Focus on designing scalable analyses, interpreting foundation-model outputs, and solving complex biological data-validation challenges.

Location: Hybrid, Cambridge, Massachusetts, United States. Full-time internship for 10–12 weeks beginning in May or June 2027. No relocation; no travel required.

Salary range: $39,908–$111,111 per year.

Company

hirify.global is a life sciences company developing data-, AI-, and genome-science capabilities for research and development.

What you will do

  • Develop statistical and computational methods and pipelines to utilize, analyze, interpret, and validate perturb-seq datasets.
  • Develop approaches to assess, interpret, and validate in silico perturbation predictions from single-cell foundation models.
  • Contribute to AI/ML data science projects within the In Silico Perturbation Team.
  • Collaborate and communicate effectively within a multidisciplinary team.

Requirements

  • Currently enrolled in a PhD program in Computer Science, Statistics, Bioinformatics, Computational Biology, or a related technical field.
  • Available to work full-time for 10–12 weeks beginning in May or June 2027.
  • Demonstrated experience with single-cell omics data, such as scRNA-seq or perturb-seq.
  • Excellent software design and development skills and strong proficiency in Python.
  • Excellent communication skills and ability to work collaboratively in a multidisciplinary team.

Nice to have

  • Independent project leadership experience and motivation to impact biological projects.
  • Experience with biological foundation models, including single-cell foundation models.
  • Experience with advanced statistics and/or Bayesian methods.
  • Proficiency in modern machine learning frameworks such as PyTorch and experience implementing scalable solutions for complex tasks.
  • Publications in journals or conferences.

Culture & Benefits

  • Hybrid work arrangement.
  • First-shift daytime schedule.
  • Internship lasting 10–12 weeks with an opportunity to develop technical skills and evaluate long-term career fit.
  • Inclusive, multidisciplinary environment that encourages diverse perspectives and collaborative problem-solving.

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 →