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4 дня назад

Sr. AI Engineer (Life Sciences)

152 000 - 228 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
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

Sr. AI Engineer (Life Sciences): Developing and deploying advanced AI and machine learning models for cancer screening and precision oncology with an accent on biological, genomic, and clinical data. Focus on implementing LLMs, Generative AI, and deep learning architectures to accelerate cancer detection and personalized treatment.

Location: San Diego, CA, USA

Salary: $152,000–$228,000

Company

hirify.global focuses on changing how the world prevents, detects, and guides treatment for cancer through precision oncology and advanced screening.

What you will do

  • Apply advanced AI and ML algorithms to solve complex problems involving biological, genomic, and healthcare data.
  • Manage the full solution development lifecycle from ideation and design to implementation and deployment.
  • Collaborate with biostatisticians, bioinformatics scientists, and data scientists to advance cancer eradication goals.
  • Contribute to the strategic vision and AI strategy to enhance internal bioinformatics and data science processes.
  • Provide mentorship and coaching to junior team members.
  • Deliver proof-of-concept solutions within an iterative Agile framework.

Requirements

  • Ph.D. in Statistics, Computational Biology, Computer Science, or a related field (or Master's with 4+ years of experience).
  • 3+ years of experience with AI/ML algorithms and quantitative research.
  • Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or SKLearn.
  • Demonstrated experience with LLMs, Generative AI, transformer architectures, and RAG.
  • Knowledge of deep learning, neural networks, NLP, and computer vision.
  • Authorization to work in the United States without sponsorship.

Nice to have

  • 2+ years of experience in life sciences, specifically molecular or cancer diagnostics.
  • Expertise in healthcare data mining to generate clinical insights.
  • Basic knowledge of ML-Ops for versioning and deployment of models.
  • Scientific understanding of cancer biology.

Culture & Benefits

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

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