Virta is the first company with a clinically-proven treatment to safely and sustainably reverse type 2 diabetes and other chronic metabolic diseases without the use of medications or surgery. Our innovations in nutritional biochemistry, data science and digital tools combined with our clinical expertise are shifting the diabetes treatment paradigm from management to reversal. Our mission - to reverse type 2 diabetes in 100 million people by 2025.

As a full stack health care company of physicians, engineers, marketers and more under one roof, Virta collects comprehensive data on our patients’ experience, and leverages this data to build the next generation of health care for chronic diseases.  Data scientists at Virta drive science, analytics, and algorithmic solutions into the fabric of Virta’s products and decision making. Virta relies heavily on the Insights & Analytics team to make decisions about our business and product, as well as to demonstrate our value to our customers.  You will be an evidence-based partner to our product and business teams as we scale our operation to reverse type 2 diabetes in millions of people. 

Responsibilities

• Be the principal data science owner and point of contact for commercial research at Virta. Collaborate with our providers, the Research team and Chief Medical Officer to design and analyse experiments based on our commercial registry data, improve commercial data quality, build research dashboards and assist with publications. 
• Be the owner of the data ‘roadmap’ for the research team, determining the right mix of science, analytics, and algorithms needed to drive impact
• Reframe vague but mission-critical business objectives into empirical problems that can be addressed with your skillset
• Weave stories with data to communicate the results of your work to leaders and individual contributors alike
• Optimize our products and decision-making with deep analysis of user behavior & experimentation
• Participate in setting the direction of highly cross functional teams (product dev, clinical ops, marketing, customer success, clinical research)
• Collaborate with other data scientists to solve problems by building extensible software, replicable analyses, and robust, well-tested data pipelines
• Help Virta reach more members and save more lives by demonstrating Virta’s value to our customers through research

90 Day Plan

Within your first 90 days at Virta, we expect you will do the following:

• Set the analytical and research agenda for you and your partnering teams
• Immerse yourself in the rich, longitudinal data we collect on our patients
• Teach and inspire other Insights & Analytics team members through knowledge sharing, pair programming, and/or giving feedback during code reviews
• Partner with research and product teams to design, implement, and analyze experiments; develop research questions in collaboration with the research team and answer these questions through post-hoc analysis of our registry (commercial) data; write conference abstracts 

Requirements

• You have a PhD degree, preferably in Biostatistics or related field, you are comfortable leading an experiment from conception to publication, and have published in the past 
• You have experience applying data science & analytics to real business problems, working closely with product/engineering teams to analyze product experiments and understand primary drivers of outcomes
• You enjoy communicating progress, trade-offs, and the results of your work to team members from other functions
• You are passionate about optimizing business decision-making through experimentation and deep analyses of users and processes
• You are strong in Python’s open source data ecosystem and SQL

Values-driven culture

Virta’s company values drive our culture, so you’ll do well if:

• You put people first and take care of yourself, your peers, and our patients equally
• You have a strong sense of ownership and take initiative while empowering others to do the same
• You prioritize positive impact over busy work
• You have no ego and understand that everyone has something to bring to the table regardless of experience
• You appreciate transparency and promote trust and empowerment through open access of information
• You are evidence-based and prioritize data and science over seniority or dogma
• You take risks and rapidly iterate