Senior Ai Research Scientist, Explainable Artificial Intelligence

med-in.at

Base: $144,800.00 - $227,900.00; bonus/equity: eli...
Hybrid (3 days onsite, 1 day remote)
Foundation models for -omics data
Post-hoc and intrinsic explainability
Rigorous benchmarks and evaluations
Med-in.at is seeking a Senior AI Research Scientist specializing in Explainable Artificial Intelligence to enhance their AI/ML capabilities in drug discovery and disease understanding. The ideal candidate will have a strong background in machine learning, biology, and software development, with experience in managing large datasets and collaborating across multidisciplinary teams

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. We offer a comprehensive package of benefits.

Matching Summary

Match Score: 85

Med-in.at is seeking a Senior AI Research Scientist specializing in Explainable Artificial Intelligence to enhance their AI/ML capabilities in drug discovery and disease understanding. The ideal candidate will have a strong background in machine learning, biology, and software development, with experience in managing large datasets and collaborating across multidisciplinary teams.

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, and sick days

Skills & Requirements

Must-have

  • foundation models for -omics data
  • post-hoc and intrinsic explainability
  • rigorous benchmarks and evaluations
  • Python and deep learning frameworks
  • transformer-based models

Nice-to-have

  • multi-GPU inference experience
  • contributions to research communities
  • multi-modal foundation models

Key Requirements

  • PhD, MS, or BS in STEM field
  • 0-3+ years of experience (PhD)
  • 4+ years of experience (MS)
  • 7+ years of experience (BS)
  • experience with biological foundation models
  • expertise in classical ML and deep learning
  • experience fine-tuning AI models at scale

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter