Director, Data Science, Foundation Model Ai

Imsapharma Com Ar

Base: $194,100.00 - $305,600.00; bonus/equity: eli...
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Large foundation model development
Multi-modal biological data analysis
Machine learning research leadership
** The Director of Data Science at Imsapharma Com Ar will lead a team focused on foundation model AI to enhance target discovery and disease understanding. The role requires extensive experience in machine learning, particularly in developing and training large models, while fostering a culture of AI excellence within the organization. **

Job Summary

  • Our Artificial Intelligence and Machine Learning capabilities accelerate the mission to invent new medicines that save and improve lives.
  • As Director of foundational AI, you will lead a team of researchers and engineers to advance understanding of complex diseases and support innovative therapeutic strategies.
  • We offer a comprehensive benefits package including medical, dental, vision, retirement plans, paid holidays, vacation, and sick days.

Matching Summary

Match Score: 75

** The Director of Data Science at Imsapharma Com Ar will lead a team focused on foundation model AI to enhance target discovery and disease understanding. The role requires extensive experience in machine learning, particularly in developing and training large models, while fostering a culture of AI excellence within the organization. **

Salary

Base: $194,100.00 - $305,600.00; Bonus/Equity: Eligible for annual bonus and long-term incentive; Benefits: Medical, dental, vision, retirement, paid holidays, vacation, sick days

Skills & Requirements

Must-have

  • Large foundation model development
  • Multi-modal biological data analysis
  • Machine learning research leadership
  • Python programming proficiency
  • PyTorch deep learning framework
  • AI model interpretability
  • Multi-node multi-GPU training

Nice-to-have

  • Generative modeling paradigms
  • Reinforcement learning for reasoning
  • Biological foundation models experience
  • Cross-functional team collaboration
  • Scientific publication and community engagement
  • Culture of AI excellence

Key Requirements

  • PhD with 7+ years or MS with 10+ years experience
  • Expertise in classical machine learning and causal analysis
  • Proven publication record in top AI/ML conferences
  • Experience leading ML research and engineering teams
  • Experience training large models on multi-GPU clusters
  • Strong communication skills
  • US work authorization or sponsorship available

Work Rights

US and Puerto Rico Residents Only

Sponsorship: available

Tailored Resume

Cover Letter