Create high-performance and cutting-edge cloud infrastructure to empower engineering and product teams to drive innovations in a fast paced, secure, and scalable environment while adhering to compliance standards.
Develop intelligent systems that drive patient acquisition, experience, and outcomes at scale.
Partners with the Clinical team to build our proprietary electronic health record system that allows for a new model of remote continuous diabetes care. Also sets the standard and evangelizes best practices on how other teams contribute to and utilize clinical data.
The beginning of a member’s Virta journey to reverse diabetes starts with the Client group, which builds a frictionless experience for supporting the member lifecycle. This includes creation of tooling and workflows to support marketing outreach for awareness, enrollment and eligibility as well as billing support for internal teams at Virta.
Enables our engineers to build and operate effectively through tooling and support that embodies both our current standards and long-term architectural direction.
The Patient Group builds the mobile and web experiences that enable members to journey through the Virta treatment and facilitates connection with their care team.
Insights & Analytics
I&A serves a critical function at Virta by generating data driven insights that steer commercial, product and operational strategic decision making.
”It’s easy to feel like my work is making an impact at Virta - we can see positive outcomes every day. I love how we’re constantly taking on new engineering challenges as the company grows, and it’s fun to tackle those challenges alongside my teammates.“
Software Engineer, Foundations Team
“I appreciate that my colleagues at Virta understand the importance of physical and mental wellbeing and see it as a foundation for sustaining high performance at work.”
“Virta's deep engagement with new technologies and the chance to make a meaningful difference in the healthcare industry keeps me motivated and excited about my work every day.”
Software Engineer, Patient Team
A.I. Driven Alerts for Coaches & Patients
Develop Machine Learning Models
Developed Machine Learning Models to predict which patients would benefit most from clinician outreach
Putting Data Science Into Action
Used Machine Learning Models to alert clinicians and provide accurate patient context to appropriately develop personalized engagement tactics.
Developed an in-app “to do” list where coaches (or algorithms!) can assign acitvities and interventions
Clear steps led to improved engagement and overall improved health outcomes for patients.
At-Home Lab Tests
Developed integration to use self-administered, at-home labs to allow patients to stay home during the Coronavirus outbreak.
Worked cross-functionally with Operations, Clinicians and Product organizations to effectively develop and implement.