About Openevidence
openevidence.comSource: Wikipedia
Openevidence
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
All full-time roles on our engineering team are in-person 5 days a week in SF or Miami.
To apply for this job please visit jobs.ashbyhq.com.
About this role & career path
Working in San Francisco
San Francisco, officially the City and County of San Francisco, is the fourth-most populous city in California and the 17th-most populous in the United States, with a population of 826,079 in 2025. Among U.S. cities with a population of 200,000 or more, San Francisco is ranked first by per capita income, second by population density, and sixth by aggregate income as of 2024. Some 4.6 million residents live in the city's metropolitan statistical area, which is the 13th-largest in the United States. Around 9.2 million live in the San Jose–San Francisco–Oakland combined statistical area, the fift
What people say about Openevidence
- Only 16 Percent of Americans Think AI Will Have a Positive Impact on Society
- AWS Bedrock to require sharing data with Anthropic for Mythos and future models
- Vibe coding my way to a healthy family: Introducing Gamow Labs
- Law Professors Prefer AI over Peer Answers
Recent news
- Most U.S. doctors are quietly using this AI tool. Few patients know about it. - NBC News
- Have a Thorny Medical Question? Your Doctor May Be Using A.I. for That. - The New York Times
- General-purpose large language models outperform specialized clinical AI tools on medical benchmarks - Nature
- Cedars-Sinai and OpenEvidence Partner on AI Health Solution - Cedars-Sinai
- Mount Sinai Health System Collaborates with OpenEvidence to Provide Evidence-Based Knowledge Within Electronic Medical Record - Mount Sinai
Aggregated from public discussions and news; opinions are the authors’ own.
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