Startups · AI

Research Scientist

OpenEvidence · San Francisco · On-site

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About OpenEvidence

Backed by Kleiner Perkins, Sequoia and a16z.

About the 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.

More about this 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.

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...

Read the full posting on OpenEvidence's site ↗

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