Digital Health • medical devices • machine learning • Artificial Intelligence • physical therapy
201 - 500
October 9
Digital Health • medical devices • machine learning • Artificial Intelligence • physical therapy
201 - 500
• Sword Health is on a mission to free two billion people from pain as the world’s first and only end-to-end platform to predict, prevent and treat pain. • Delivering a 62% reduction in pain and a 60% reduction in surgery intent, at Sword, we are using technology to save millions for our 2,500+ enterprise clients across three continents. • Recognized as a Forbes Best Startup Employer in 2023, this award highlights our focus on being a destination for the best and brightest talent. • Joining Sword Health means committing to a set of core values, chief amongst them to “do it for the patients” every day, and to always “deliver more than expected” on behalf of our members and clients. • This is an opportunity for you to make a significant difference on a massive scale as you work alongside 800+ (and growing!) talented colleagues. • Our Algorithms team is a versatile Software Engineering team. They build production-ready software for complex problems that require technical and innovative solutions.
• 5+ years of experience in solving complex and ambiguous problems with software, regardless of the field; • 5+ years of experience in software development, with solid knowledge of design patterns and system design; • Ability to learn quickly and dive deep into new problems and fields; • Ability to interface with non-technical stakeholders; • Ability to visualize and interpret data of different types (tabular, time-series, relational databases, etc.); • Critical thinking & self-direction, with a results-oriented mindset; • Willingness and ability to collaborate effectively as a team to reach common goals.
• Health, dental and vision insurance • Meal allowance • Equity shares • Remote work allowance • Flexible working hours • Work from home • Unlimited vacation • Snacks and beverages • English class • Unlimited access to Coursera Learning Platform
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