Drug Discovery Scientist & Engineer
New York City, NY · HybridJobPosted 2mo agoStill listed today
Most applications go out cold — see where you stand first. No sign-up to start.
Watch jobs like this. New roles like this one near New York City, NY, by email.
Don't just apply. Show up ready.
Olive works from this exact posting.
At a glance
Olive lists jobs from US employers, including remote roles you can work from the United States.
Job overview
Mirror Physics is seeking a scientist with multiple years of industry experience in preclinical development to help turn scientific expertise into software. The hybrid scientist-builder will work with engineers, customers, and domain experts to shape its drug-discovery platform, improve AI agents, and establish scientific evaluations. The role spans drug-discovery workflows, product development, customer engagement, and scientific prioritization.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
The Company Mirror is an NYC-based startup building the AI stack for modern drug discovery. We develop agents that give scientists the leverage to explore, test, and advance new medicines faster and at lower cost. Our platform focuses on bridging the gap between frontier model capabilities and the practical challenges faced by biologists and chemists across the preclinical pipeline to dramatically accelerate scientists’ daily work, without sacrificing transparency, control, or data security. By compounding advancements in agent performance, efficiency, and reliability, we’re paving the way to transforming therapeutics development and unlocking a new era of human health.
The Opportunity 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.
Why This Role 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.
What You’ll Do
-
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.
What We’re Looking For
-
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.
What We Offer
-
Competitive salary + meaningful equity
-
Full health, dental, and vision benefits for you and your family
-
Personal fitness budget
-
Unlimited PTO and all national holidays
Location & Work Model We expect you to get things done, whatever it takes. We’re typically in-office. Visa sponsorship is available.
Equal Opportunity Mirror is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for our employees.
How this job compares
Set against the 2,035 open Scientist jobs on Olive Jobs, counted October 28, 2026.
- Pay
- This postingNot listed
- New York median$94–140K/yr106 salary ranges
- US median$31–38/hr90 hourly ranges
- Openings
- Olive Jobs lists 134 open Scientist jobs in New York and 2,035 across the US. Under 1% of them nationwide are listed as remote or flexible.
- Hiring the most in New York
- Regeneron Pharmaceuticals18 open
- University of Rochester13 open
- Mount Sinai Health System9 open
- Experience
- Scientist postings that state a minimum ask for 3 years of experience at the median; the middle half ask for 2 to 7 years (1,452 postings).
- Education
- 1,212 of the 2,035 open Scientist jobs (60%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 28, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
Similar jobs, posted recently
Open roles like this one, listed in the last 30 days.
Data Scientist (Open Level)Formation Bio · New York, NY, USA · $162–267K/yrPosted 6 days agoPosted 6 days ago
Scientific Machine Learning EngineerSchrödinger · New York, NY · $130–160K/yrPosted 4w agoPosted 4w agoSenior Scientific Data EngineerTetraScience · New York, NY, USA · $140–200K/yrPosted 2w agoPosted 2w ago
Scientist II, Computational Biology, Pharma R&DTempus · New York, NY, USA · $90–135K/yrPosted 4w agoPosted 4w ago
Applied AI Engineer, Beneficial Deployments (Life Sciences)Anthropic PBC · NEW YORK, NY · $280–320K/yr
You've read the whole posting — now see how you match it.