Senior Ai Research Scientist, Explainable Artificial Intelligence

Laboratory Animal Management Association

Massachusetts, United States
Base: $144,800.00 - $227,900.00; bonus/equity: eli...
Hybrid (3 days onsite, 1 day remote)
Explainable ai methods
Transformer-based foundation models
Biological foundation models
The Laboratory Animal Management Association is seeking a Senior AI Research Scientist specializing in Explainable Artificial Intelligence to contribute to developing innovative therapeutic strategies through advanced AI/ML methods. The ideal candidate will have a strong background in computational biology and machine learning, along with experience in extracting biological insights from foundation models

Job Summary

  • Your work will advance our understanding of complex diseases and support the development of innovative therapeutic strategies.
  • You will be part of a cross-functional team of computational biologists, data scientists, software engineers, and machine learning researchers.
  • The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.

Matching Summary

Match Score: 85

The Laboratory Animal Management Association is seeking a Senior AI Research Scientist specializing in Explainable Artificial Intelligence to contribute to developing innovative therapeutic strategies through advanced AI/ML methods. The ideal candidate will have a strong background in computational biology and machine learning, along with experience in extracting biological insights from foundation models.

Salary

Base: $144,800.00 - $227,900.00; Bonus/Equity: Eligible for annual bonus and long-term incentive; Benefits: Comprehensive package including medical, dental, vision, retirement, paid holidays, vacation, sick days

Skills & Requirements

Must-have

  • Explainable AI methods
  • Transformer-based foundation models
  • Biological foundation models
  • Graph neural networks
  • Python software development
  • PyTorch deep learning framework

Nice-to-have

  • Multi-GPU inference experience
  • Multi-modal foundation models
  • Scientific community contribution
  • Cross-functional team collaboration

Key Requirements

  • PhD, MS, or BS with 0-7+ years experience
  • Experience with biological foundation models
  • Expertise in classical ML and deep learning
  • Fine-tuning, evaluating, and debugging AI models
  • Excellent software design and Python skills

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter