Director, Machine Learning, Alzheimer's Disease Initiative

Arc Institute

Palo Alto, CA, United States
Base: $338,500 to $400,500; bonus/equity: eligible...
On-site
Develop foundation models for cellular systems
Apply interpretable ml to biological systems
Work with scrna-seq and perturb-seq data
Arc Institute is seeking a Director of Machine Learning for its Alzheimer's Disease Initiative in Palo Alto, CA. The role focuses on leading a team to develop machine learning models that advance understanding and treatment of Alzheimer's disease through innovative computational biology approaches

Job Summary

  • Spearhead development of sophisticated machine learning foundation models to capture cell states and infer gene regulatory networks and causal relationships to predict therapeutic interventions.
  • Attract, build and lead a team of exceptional machine learning research scientists dedicated to developing foundation models for cellular systems in Alzheimer's disease.
  • This position offers the rare opportunity to build and lead a world-class team while making direct contributions to understanding and potentially treating Alzheimer's disease through state-of-the-art computational biology and machine learning approaches.

Matching Summary

Match Score: 85

Arc Institute is seeking a Director of Machine Learning for its Alzheimer's Disease Initiative in Palo Alto, CA. The role focuses on leading a team to develop machine learning models that advance understanding and treatment of Alzheimer's disease through innovative computational biology approaches.

Salary

Base: $338,500 to $400,500; Bonus/Equity: Eligible for annual discretionary bonus; Benefits: Not specified

Skills & Requirements

Must-have

  • Develop foundation models for cellular systems
  • Apply interpretable ML to biological systems
  • Work with scRNA-seq and Perturb-seq data
  • Develop predictive modeling for cell states
  • Collaborate with experimental biologists
  • Publish high-impact research

Nice-to-have

  • Familiarity with neuroscience
  • Experience with transformer and diffusion models
  • Background in neurodegeneration research

Key Requirements

  • PhD in Computational Biology, Bioinformatics, Machine Learning, Computer Science, or related quantitative field
  • 7+ years of relevant experience
  • 3 years of people management experience
  • Experience in academic settings or biotech/pharmaceutical industry
  • Proven expertise in machine learning applications to biological datasets
  • Deep experience with interpretable machine learning approaches
  • Advanced technical skills in PyTorch
  • Publications in top-tier journals
  • Excellent communication skills

Work Rights

Not specified

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