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6 дней назад

Data Scientist Fellow — AI/ML

90 000 - 100 000$
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Scientist Fellow — AI/ML (Machine Learning/Bioinformatics): Developing computational models to predict and optimize organoid growth, differentiation, and tissue engineering protocols with an accent on machine learning, in silico simulation, and multimodal biological data. Focus on designing predictive models, refining protocol standardization through experimental feedback loops, and integrating computational predictions with laboratory validation.

Location: Bethesda, MD, United States

Salary: $90,000–$100,000 USD annual base compensation

Company

hirify.global is a bioscience and information technology company developing translational research, biomedical informatics, and data science tools for research centers and healthcare organizations, including institutes at the NIH.

What you will do

  • Design and implement machine learning models that predict organoid development outcomes from protocol parameters, environmental conditions, and molecular characterization data.
  • Develop in silico models of organoid growth, maturation, and phenotype to identify conditions for reproducible organoid generation.
  • Establish feedback loops between experimental validation and computational prediction to refine protocol standardization.
  • Collaborate with experimental teams on characterization and validation experiments.
  • Work with bioinformatics scientists to integrate multimodal datasets.

Requirements

  • PhD in computer science, engineering, applied mathematics, or a related field, with demonstrated experience in AI/ML model development.
  • Strong programming proficiency in Python, R, or comparable languages.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Prior experience applying computational methods in biological laboratory settings.
  • Working knowledge of experimental design principles and biological data types.

Nice to have

  • Experience with organoid systems or tissue engineering applications.
  • Knowledge of differential equations and systems biology modeling.
  • Experience with deep learning approaches for biological applications.
  • Familiarity with cloud computing platforms and containerization technologies.

Culture & Benefits

  • 100% medical, dental, and vision coverage for employees.
  • Paid time off and paid holidays.
  • 401(k) matching of up to 5%.
  • Educational benefits for career growth.
  • Flexible spending accounts for healthcare, parking, dependent care, and transportation.
  • Employee referral bonus.

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