Truveris is a leading digital health company focused on delivering truth and clarity in pharmacy. Truveris’ proprietary technology, coupled with deep pharmacy expertise, helps to build a more efficient market that maximizes choice, accessibility and prescription drug affordability. Our solutions provide the insight and knowledge to help people lead healthier and more productive lives. For more information on our solutions, visit www.truveris.com.
POSITION SUMMARY
The Principal Data Scientist works with a fast-paced, cross-functional, agile team that is creating a new data and analytics platform that will allow us to better build new analytic functionality and perform client analyses at scale. The Principal Data Scientist will be involved in the full spectrum of analytic development: evaluating data to ensure it can support proposed methods, defining and prototyping algorithms, building predictive models, conducting analytic testing of the implementation of algorithms/models in our data and analytics platform, and mentoring / coaching Data Scientist colleagues. Initial work will focus on analytics for pharmacy claims data. Over time, additional data sources will be added to the platform.
The ideal candidate will be a proven functional leader and go-to expert of a Data Science team, as well as be a hands-on analyst who enjoys both the detailed work involved in algorithm/model development as well as the abstract goal of building a scalable platform. This position is US-based with a preferred location in our NYC headquarters or the Boston-DC corridor.
Truveris provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.