Machine Learning Research Scientist

Valence Labs is seeking a Machine Learning Research Scientist to drive bold, ambitious research agendas across primary research programs, including multi-omic foundation models and next-generation structural biology and atomistic modeling. The role requires a PhD in a related technical field involving machine learning applied to drug discovery, scientific knowledge of biology, chemistry, or physics, and a proven track record of impactful machine learning research.

Requirements

• PhD (or equivalent) with significant academic or industry research experience in a related technical field involving machine learning applied to drug discovery.
• Scientific knowledge of biology, chemistry, or physics, along with previous experience working in a scientific environment across disciplines.
• A proven track record of impactful machine learning research, including designing new neural networks to model molecular systems, proposing new theories, improving upon existing ideas, and applying novel ML techniques to real-world problems.
• Strong technical and engineering skills, including ability to rapidly prototype ML models.
• Comfort working cross-functionally with interdisciplinary teams of dry and wet scientists.
• Experience in project supervision, leadership, or management, including lead authorship in publications at peer-reviewed conferences and/or journals.

Benefits

• Annual bonus
• Equity compensation
• Comprehensive benefits package