Terray Therapeutics

Terray Therapeutics

Machine Learning Scientist, Molecular Interactions

Remote (United States)

Sponsorship not specified$147k-$228kDetected 21 days ago
GitMachine LearningA/B Testing

About the role

  • T erray Therapeutics is seeking a ML scientist to join our team focused on extending structure informed generative models of potency to causal models of in-vivo molecular interactions.
  • The role involves a significant amount of creative latitude, and the opportunity to directly impact real drug programs informed by large, proprietary datasets.
  • Successful applicants must possess a comprehensive knowledge of how today's structure informed models work, where they need improvement, and an enthusiasm to pursue genuinely novel modeling concepts while advancing measurable improvements.

Responsibilities

  • Terray Therapeutics is a venture-backed biotechnology company where scientists and engineers build together to transform how small-molecule drugs are discovered and developed.
  • Our teams support both an internal immunology pipeline and partnerships across a broad range of therapeutic areas.

Nice to have

  • An opinionated perspective on the tension between the bitter lesson and physical constraints is a plus.

Compensation

  • $147,000-$227,850 annually, depending on experience.
  • Terray's salary ranges are designed to be competitive and are benchmarked against market base salary plus bonus within our industry and market.
  • We align pay to role scope, skill level, and impact.
  • Our programs are benchmarked at the top of the Southern California market and designed to provide meaningful support across every stage of life.

Benefits

  • Experience and Qualifications: Part of Terray's success is nurtured by a hands-on work environment where everyone is accountable, vested in a vision of excellence, and actively taking part in the success of the business.
  • We invest heavily in benefits because taking care of our people matters.

This listing is sourced directly from Terray Therapeutics's careers page and normalized into a canonical job model.