Machine Learning Scientist, Molecular Interactions

Company Overview: Terray Therapeutics is a venture-backed biotechnology company where scientists and engineers build together to transform how small-molecule drugs are discovered and developed. By combining our nanotechnology, experimental science, machine learning, and automation, we leverage Terray’s ability to generate and learn from scale proprietary chemical data to discover novel medicines for patients in need.

At Terray, you will work alongside pioneers and experts in artificial intelligence, chemistry, drug discovery, automation, and nanotechnology in deeply interconnected workflows where computational and experimental teams continuously learn from one another. Our platform, EMMI (Experimentation Meets Machine Intelligence), powers iterative cycles of molecular design and wet-lab experimentation that rapidly improve our understanding of biochemical interactions and guide the next generation of discoveries.

Our teams support both an internal immunology pipeline and partnerships across a broad range of therapeutic areas. The work here is highly collaborative, fast-moving, and grounded in the belief that breakthroughs happen when strong science, thoughtful technology, and great people work closely together.

Position Summary: Terray 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. An opinionated perspective on the tension between the bitter lesson and physical constraints is a plus.

The responsibility of this role is experimentally realizing improvements in the selectivity, generality, scope, and/or accuracy of intermolecular interactions designed with ML models over our current state of the art through novel architectures.

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. Terray supports a positive work environment where employees can feel engaged, recognized, and empowered to be creative.

Required Qualifications: 

• A comprehensive understanding of existing work on ML modeling of in-vivo molecular interactions, and an informed desire to pursue open avenues for further improvement.
• Mastery of modern ML model development, training at scale and interest in developing novel approaches which can bootstrap to greater fidelity at inference time.
• Curious interest in novel approaches, and the plasticity to possibly attempt highly speculative but novel research.
• Basic familiarity with modern ML ops.
• Basic familiarity with other classes of other ML models implicated in Drug Design, and the ability to use these models to complete the design process.
• Ability to collaborate on a diverse team, and couple to deployed workflows for drug design scientists.

Only applicants with github, proof of relevant work, or a one-page writeup of experience applying molecular modeling to a scientific problem that is verifiable will be considered.

Compensation Details: $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.

We invest heavily in benefits because taking care of our people matters. Our programs are benchmarked at the top of the Southern California market and designed to provide meaningful support across every stage of life. Benefits include participation in the Company’s stock option plan, a 3% retirement safe harbor contribution, fully paid health, dental, vision insurance for our employees, spouse, partner and families as well as above-market life insurance, disability coverage, and much more to explore during the offer process.