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1 день назад

Staff AI Scientist (AI)

187 200 - 280 800$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
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

Staff AI Scientist (AI/ML): Leading the development and deployment of advanced machine learning models to analyze biological and clinical data with an accent on genomic data and precision oncology. Focus on integrating Large Language Models and Generative AI to enhance bioinformatics and data science processes.

Location: US - CA - San Diego

Salary: $187,200 – $280,800

Company

hirify.global is a molecular diagnostics company focused on cancer prevention and early detection.

What you will do

  • Lead the planning and execution of complex AI/ML projects involving biological, genomic, and clinical healthcare data.
  • Develop strategic visions for applying cutting-edge AI methodologies, including generative AI and LLMs.
  • Collaborate with biostatisticians and bioinformatics scientists to design and deploy software solutions.
  • Establish an Agile framework for rapid iterative delivery of AI technology prototypes.
  • Mentor and coach junior team members while providing technical leadership across the solution lifecycle.
  • Contribute to the intellectual property portfolio through innovative problem-solving.

Requirements

  • PhD in Statistics, Computational Biology, Computer Science, or a related quantitative field (or Master's + 4 years experience).
  • 5+ years of experience in statistics, computational biology, and AI/ML algorithms.
  • Mastery of deep learning, reinforcement learning, NLP, and computer vision.
  • Expertise in transformer architecture and retrieval augmented generation (RAG).
  • Strong programming skills in Python and frameworks like TensorFlow, PyTorch, or SKLearn.
  • Authorization to work in the United States without sponsorship.

Nice to have

  • 8+ years of experience in life sciences or molecular diagnostics, specifically cancer diagnostics.
  • Expertise in healthcare data mining.
  • Knowledge of ML-Ops and model versioning/deployment processes.
  • Scientific understanding of cancer biology.

Culture & Benefits

  • Comprehensive health benefits including medical, prescription drug, dental, and vision coverage.
  • Retirement savings plan and wellness support.
  • Paid time off for vacation, holidays, volunteering, and personal time.
  • Paid leave for parents and caregivers.
  • Inclusive culture focused on respect and belonging.

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