Senior Ai Research Scientist, Explainable Artificial Intelligence

MOBS Lab

$144,800.00 - $227,900.00; bonus + long-term incen...
Hybrid
Foundation models for -omics data
Post-hoc and intrinsic explainability
Rigorous benchmarks and evaluations
Develop methods for extracting biological insights from foundation models and creating new methods for explainability of AI models

Job Summary

  • Develop methods for extracting biological insights from foundation models and creating new methods for explainability of AI models.
  • Build rigorous benchmarks, evaluations, and fit-for-purpose datasets for answering specific biological questions.
  • Collaborate with a cross-functional team of computational biologists, data scientists, software engineers, and machine learning researchers.

Matching Summary

Develop methods for extracting biological insights from foundation models and creating new methods for explainability of AI models.

Salary

$144,800.00 - $227,900.00; Bonus and long-term incentive eligible; Comprehensive benefits package

Skills & Requirements

Must-have

  • foundation models for -omics data
  • post-hoc and intrinsic explainability
  • rigorous benchmarks and evaluations
  • Python and deep learning frameworks
  • PyTorch ecosystem for large models

Nice-to-have

  • multi-modal foundation models
  • multi-GPU inference experience
  • contribute to scientific community

Key Requirements

  • PhD, MS, or BS in STEM field
  • 0-7+ years of experience
  • experience with biological foundation models
  • expertise in classical ML and deep learning
  • experience fine-tuning and evaluating AI models

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter