Research Scientist

Reposted One Month Ago
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2 Locations
In-Office
Mid level
Software
Organizing and expanding the world’s medical knowledge and making it more useful.
The Role
Design and build production-quality medical AI systems, own end-to-end problems, prioritize rigorous evaluation and quantitative proof, collaborate across products, and deliver high-impact, deployed outcomes in a fast-paced, hands-on engineering culture.
Summary Generated by Built In
Role

As a Research Scientist working at OpenEvidence, you will push the boundaries of what modern models are capable of, bringing a research background focused on building real systems instead of writing papers. You will own problems end-to-end with autonomy, treating evaluation and quantitative proof as first-class citizens in everything you create.

We hire exceptional builders, not in narrow lanes. Engineers and scientists work across products and projects, owning work wherever they can create the most impact.

About Us

OpenEvidence is the most widely used medical AI platform in the world.

In just over a year, our usage has grown to >65% of US clinicians via product-led word of mouth adoption. We are a $12B company with a 30-person engineering team from MIT, Harvard, and Stanford. We believe world-changing products come from a small group of exceptional, autonomous builders, organized along focused objectives and empowered to take individual ownership and run fast. We are growing our team to seize a once-in-a-lifetime opportunity to define the default platform for medical AI.

If you are a world-class engineer or scientist looking to define the bleeding edge and deliver concrete outcomes that impact hundreds of millions of lives, we want to talk.

Culture

We believe work should be engaged with at a world-class level. Building 0->1 and scaling 1->1000 are professional sports, and uncompromising excellence is the bar. We believe building technologies that haven't existed is only possible with end-to-end ownership. Important things are accomplished when an individual decides to accomplish them.

Who are you?

If you are looking to complete tickets 9-5, this job is not for you. If you are looking to write papers, this job is not for you. If you are looking to lean in and get your hands dirty, bruised, and bloody, making something from nothing, personally impacting hundreds of millions of lives, and driving ten figures of revenue, this job might be for you.

The ideal candidate is a brilliant builder. They are smart, ambitious, scrappy, autonomous, precise, motivated, hard-working, and low-ego. Does that sound rare? It is rare, we have only found 30 of them, and we would like to find more.

Location

This role is based in US - open to remote.

Skills Required

  • Research background building real, production systems (not just academic papers)
  • Ability to own problems end-to-end with high autonomy
  • Strong emphasis on evaluation and quantitative proof in model development
  • Exceptional engineering/scientific craftsmanship and bias toward building (world-class builder)
  • Willingness to work hands-on and iterate rapidly in a high-expectation environment
  • Work in-person 5 days a week in San Francisco or Miami
Am I A Good Fit?
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The Company
HQ: Cambridge, MA
Year Founded: 2021

What We Do

Launched during the Mayo Clinic Platform Accelerate program, backed by Sequoia, and an official content partner of the New England Journal of Medicine, OpenEvidence is the world’s leading medical information platform.

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