Senior Ai Research Scientist, Explainable Artificial Intelligence

Mayoly

Base: $144,800.00 - $227,900.00; bonus/equity: ann...
Hybrid (3 days onsite, 1 day remote)
Explainable ai methods
Transformer-based foundation models
Pytorch deep learning framework
Mayoly is seeking a Senior AI Research Scientist specializing in Explainable Artificial Intelligence to contribute to their mission of developing innovative medicines. The role involves collaborating on biological insights extraction and advancing methodologies for AI model explainability, requiring strong expertise in machine learning and deep learning techniques

Job Summary

  • Our Artificial Intelligence Machine Learning (AI/ML) capabilities are critical accelerators to our mission of inventing new medicines that save and improve lives.
  • As a senior AI scientist, you will be responsible for extracting biological insights from foundation models, developing new methods for post-hoc and intrinsic explainability of AI models, building rigorous benchmarks, evaluations, as well as fit-for-purpose datasets for answering specific biological questions.
  • The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.

Matching Summary

Match Score: 85

Mayoly is seeking a Senior AI Research Scientist specializing in Explainable Artificial Intelligence to contribute to their mission of developing innovative medicines. The role involves collaborating on biological insights extraction and advancing methodologies for AI model explainability, requiring strong expertise in machine learning and deep learning techniques.

Salary

Base: $144,800.00 - $227,900.00; Bonus/Equity: Annual bonus and long-term incentive; Benefits: Medical, dental, vision, 401(k), paid holidays, vacation, sick days

Skills & Requirements

Must-have

  • Explainable AI methods
  • Transformer-based foundation models
  • PyTorch deep learning framework
  • Python software development
  • Graph neural networks expertise
  • AI model evaluation and debugging

Nice-to-have

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

Key Requirements

  • PhD, MS, or BS in STEM field
  • 0-3+ years experience (PhD)
  • 4+ years experience (MS)
  • 7+ years experience (BS)
  • Experience with biological foundation models
  • Experience with classical ML and deep learning

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter