ML Research Scientist - Computational Biophysics

About the Company

Merge Labs is a frontier research lab with the mission of bridging biological and artificial intelligence to maximize human ability, agency and experience. We’re pursuing this goal by developing fundamentally new approaches to brain-computer interfaces that interact with the brain at high bandwidth, integrate with advanced AI, and are ultimately safe and accessible for anyone to use.

Responsibilities

• Build the scientific and engineering scaffolding for protein structure modeling, molecular dynamics, and integrations with downstream ML frameworks
• Collaborate with wet-lab scientists to define tractable optimization objectives and encode domain specific priors and constraints
• Prototype modeling frameworks using internal and public datasets; benchmark and validate performance
• Serve to non-domain experts for democratization of first-principles analysis
• Drive the development of ML frameworks that explicitly incorporate first-principles priors
• Stay up-to-date with the latest research in deep-learning, molecular dynamics, and protein structure modeling and prototype novel algorithms
• Contribute to the long-term research roadmap and serve as a thought-leader for scientists

Requirements

• Strong grounding in deep-learning, protein-structure modeling, and molecular dynamics
• Working knowledge of transfer-learning strategies
• Proficiency in Python, PyTorch, or Jax
• Experience writing clean, reproducible production grade code
• Experience bridging machine learning and experimental science with sparse, noisy, or high-cost data
• Collaborative, systems-level mindset

Preferred Qualifications

• Familiarity with neuroscience
• Familiarity with language or state-space models