Drug Discovery Scientist & Engineer

Mirror Physics•New York, NY

4d•Hybrid

About The Position

AI for drug discovery is only useful when it reflects how drug programs are actually run. Product quality depends on scientific judgment: understanding which evidence matters, which constraints are real, where workflows fail, and what a trustworthy result looks like. We’re looking for a scientist with multiple years of industry experience in preclinical development who wants to turn their expertise into software. This is a hybrid scientist-builder role: you’ll work closely with engineers, customers, and other domain experts to shape our platform, improve our agents, and establish the evaluations that hold them to a high scientific standard. Deep specialization is essential to drug discovery. This role offers a chance to apply that depth differently—by building systems that make expert workflows repeatable and scalable—while developing breadth across modalities, therapeutic areas, and stages of preclinical development. You’ll learn directly from specialists and customers, translate that knowledge into products and evaluation systems, and help make high-quality scientific reasoning available at scale.

Requirements

Multiple years of hands-on preclinical development experience in biotechnology or pharmaceuticals.
Deep expertise in one or more areas of drug discovery, together with a strong working understanding of the broader therapeutics development pipeline and how cross-functional programs are planned, evaluated, and advanced.
An engineering mindset and foundational computational and software development skills, with familiarity with modern AI systems.
A record of learning unfamiliar scientific and technical domains quickly and turning new knowledge into practical decisions.
The ability to explain complex ideas clearly to scientific, technical, and commercial audiences.
Comfort working directly with customers and participating in product and commercial conversations.
Curiosity, intellectual honesty, strong ownership, and the ability to move quickly without compromising rigor.

Responsibilities

Translate real preclinical workflows and scientific judgment into requirements for agent behavior, product features, tool integrations, and evaluations.
Work hands-on with engineering to prototype, test, diagnose, and improve agents across drug discovery tasks.
Design and run benchmarks, evaluations, and internal validation efforts that measure scientific quality, reliability, and usefulness.
Explore unfamiliar drug discovery domains; synthesize new methods, tools, and developments; and explain their implications to the team.
Work directly with current and prospective customers through discovery, education, product feedback, and commercial conversations.
Help set scientific product priorities and serve as a trusted domain expert across the company.
Help grow Mirror’s drug discovery team.