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12 дней назад

AI/ML Biomedical Imaging and Computational Pathology Intern

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
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Описание вакансии

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TL;DR
AI/ML Biomedical Imaging and Computational Pathology Intern (AI/ML/Computational Pathology): Developing foundation model-based methods for extracting biologically meaningful representations from histopathology images and spatial omics with an accent on interpretable modeling, biomarker discovery, and multimodal data integration. Focus on characterizing model representations with biological features, connecting image-derived features to patient and molecular data, and collaborating across data science, biology, and translational research.

Location: Hybrid in Cambridge, Massachusetts, United States; available to US and Puerto Rico residents only.

Salary: $39,908–$111,111 per year.

Company

hirify.global's Research & Development Data, AI, and Genome Sciences department develops AI methods for drug target and biomarker discovery.

What you will do

  • Develop and apply foundation model-based AI methods to extract biologically meaningful and generalizable representations from histopathology images and spatial omics.
  • Design interpretable computational approaches using biologically grounded features such as morphological patterns and tumor microenvironment architecture.
  • Integrate image-derived features with patient outcome and molecular data to support biological hypothesis generation and biomarker discovery.
  • Collaborate with data science, computational pathology, biology, and translational research specialists.

Requirements

  • Currently enrolled in a PhD program in computer science, AI/ML, computational biology, biomedical engineering, bioinformatics, statistics, or a related field.
  • Available to work full-time for 9–12 weeks beginning in May or June 2027.
  • Proficiency with Python and modern deep learning frameworks such as PyTorch.
  • Strong communication and interpersonal skills, with the ability to work effectively in a collaborative team environment.

Nice to have

  • Familiarity with computer vision, natural language processing, representation learning, foundation models, interpretable or explainable AI, or generative AI.
  • Experience with biomedical or scientific data such as medical imaging, genomics, spatial omics, or clinical datasets.
  • Scientific communication experience, including publications or conference presentations.

Culture & Benefits

  • Hybrid work arrangement.
  • Internship lasting approximately 10–12 weeks.
  • Collaborative, multidisciplinary environment focused on inclusive innovation and collective problem-solving.
  • No travel required.
  • No relocation assistance and no visa sponsorship.

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