Engineering

We’re looking for engineers and data scientists to help us build the future of health

Sasha Chedygov

Staff Software Engineer

I love that Evidation has a strong culture of support and not blame. We all learn from each other and work together towards our mission.

Sloan Saunders

Principal, Population Health Operations

The thing I love most about being part of the Evidation team is the people! We are a group of mission-driven, passionate people who really care about the work and the people. I also appreciate the mix of technical and clinical expertise at the company - which helps us think about problems from diverse and interesting perspectives.

Vish Srivastava

Director, Product Management

We are relentlessly mission-driven! We live our values in ways that have impact, like providing our members with transparency and control over their data.

Lauren Wu

Head of Privacy

As a compliance professional, the thing I like most about the culture at Evidation is the fact that people want to be here to ultimately help people while engaging in a novel and innovative company. Folks at Evidation genuinely try to do the right thing. And as a company we try to do so in a fun and interactive wa; allowing individuals to approach their roles as their authentic selves. We each try to live our values in a real way and hold leaders and each other accountable when we may fall short. It’s this drive and dedication to compliance to further innovation that I think sets us apart.

Blog

Hear from our engineers

How Evidation's Precision Recruitment Revolutionizes Study Efficiency

Aziz Mezlini

Innovative AI risk models and mobile applications make targeted participant recruitment more accurate and efficient than ever before.

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How Evidation uses Ploomber to develop production-ready data science pipelines directly from Jupyter

Filip Jankovic

At Evidation, we’ve developed a workflow to produce maintainable, robust, and production-ready machine learning pipelines directly from Jupyter.

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Generating Daily Health Activity Sequences with a Multi-task ML Model

Arinbjorn Kolbeinsson

Medical research often faces the hurdle of not having enough data to work with. This is because collecting data is expensive, and it's tricky to get hold of the right kind of data while also respecting privacy.

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Our technology

AWS
Heroku
Ruby on Rails
Python
Swift
React
React native
DBT
Snowflake
Domino

Be part of an amazing team

We collaborate as a distributed team that includes offices in Silicon Valley and sunny Santa Barbara.

We’re seeking new mission-driven members of our team—a unique blend of technology and healthcare experts—who want to make things that matter. Join us.