Director, Data Science, Foundation Model Ai

29

Rahway, NJ, USA
Base: $194,100.00 - $305,600.00; bonus/equity: ann...
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Phd in computer science or related stem field
7+ years full-time experience in ml/ai
Deep expertise in probabilistic models and causal analysis
** The position is for a Director of Data Science focused on foundational AI at company 29, located in Rahway, NJ. The role involves leading machine learning researchers and engineers to develop large models and bespoke methods for biological data analysis, with a strong emphasis on collaboration and innovation in therapeutic strategies. **

Job Summary

  • This role leads a team responsible for advancing the understanding of complex diseases through the development of foundational AI models.
  • The successful candidate will oversee the training of large multi-modal foundation models using high-performance GPU clusters to support therapeutic strategy development.
  • Employees are eligible for an annual bonus, long-term incentives, and a comprehensive benefits package including medical, dental, vision, and 401(k) retirement plans.

Matching Summary

Match Score: 75

** The position is for a Director of Data Science focused on foundational AI at company 29, located in Rahway, NJ. The role involves leading machine learning researchers and engineers to develop large models and bespoke methods for biological data analysis, with a strong emphasis on collaboration and innovation in therapeutic strategies. **

Salary

Base: $194,100.00 - $305,600.00; Bonus/Equity: Annual bonus and long-term incentive eligible; Benefits: Medical, dental, vision, 401(k), paid holidays, vacation

Skills & Requirements

Must-have

  • PhD in Computer Science or related STEM field
  • 7+ years full-time experience in ML/AI
  • Deep expertise in probabilistic models and causal analysis
  • Experience training large multi-modal foundation models
  • Proficiency in Python and PyTorch ecosystem
  • Proven track record of publications at NeurIPS, ICML, ICLR

Nice-to-have

  • Experience with biological data and genomics
  • Familiarity with diffusion modeling and flow matching
  • Interest in reinforcement learning for reasoning models
  • Collaboration with academia and industry partners
  • Knowledge of parameter-efficient fine-tuning techniques

Key Requirements

  • PhD required (or MS with 10+ years experience)
  • 7+ years of full-time experience in machine learning
  • World-class expertise demonstrated by top-tier publications
  • Experience leading teams of researchers and engineers
  • VISA Sponsorship: Yes

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter