Applied Real World Data Scientist positions focus on delivering results in their domain. This page aggregates open Applied Real World Data Scientist roles and what employers typically expect.
Evio Overview Evio is a highly unique pharmacy solutions company that was founded by and works closely with health plans to implement transformative (to cost, quality, access and experience) initiatives primarily focused on specialty and other high-cost medication solutions. In 2020, a group of five amazing Blue Cross Blue Shield health plans that in total serve more than 20 million members recognized that the way medications get to patients needs significant reform—rapidly rising costs and massive system complexities are detrimental to patients and the entire industry. In 2025, Wellmark joined as Evio's first non-founding investor and sixth owner health plan. Each company made, and continues to make, significant investments to establish Evio as an independent entity to lead this transformation. Evio has advanced analytics and contracting capabilities at scale , and a suite of digital tools , to power our high-cost medication solutions. Our solutions act as a self-reinforcing “ flywheel ” where each element strengthens and feeds into the next, and support an “Only Evio can do that,” mindset and prioritization. Evio is also a company that has invested heavily in and been highly intentional about people, team and culture. We believe we have created a very special place to work and encourage candidates to observe and ask us about our culture and decide for themselves. Evio's Values Empathy – The people our business serves always come first. We care for our teammates and put ourselves in the shoes of our health plan customers and the patients and clinicians our solutions benefit. Diversity – We are committed to fostering a culture where everyone belongs and is valued for their background, experience and insights – one that encourages diversity of ideas, and is a nurturing, trusting, and accepting place for all. Adventure – We are flexible, thrive in ambiguity, fail fast, and pivot quickly to get to a better answer. We celebrate wins and pivots with equal intensity. Relentless – Guided by evidence and data, we are creative, curious, and unwavering in our pursuit of challenging the status quo and each other. Transparency – Just as we seek to bring transparency to the pharmacy supply chain, authenticity and integrity are core to the way we communicate. Excellence – We strive to raise the bar in all we do by hiring and developing exceptional talent and holding ourselves and our thinking to the highest standard. About the role As an Applied Real-World Data Scientist , you will lead the development and execution of research, analytics, and reporting powering Evio Insights, a product within our Digital Health portfolio. Evio Insights uses real-world evidence (RWE) to generate recommendations related to policy and utilization management, prescriber and patient outreach, care management, and contracting to support high-value medication use. In this role, you will collaborate with teammates across engineering, data, and client-facing teams to uncover insights from our data that help patients access high-cost medications in a simple and affordable way. You will use your analytical skills, innovative mindset, and tenacity to discover ways health plans can improve patients’ medication experiences. Your technical skills, curiosity, and health plan empathy will drive the evolution of Evio Insights to ensure it continues to meet the needs of health plan customers. You will own the analytic lifecycle from problem to recommendation: you’ll translate ambiguous health plan problems into research questions, selecting the appropriate study or modeling approach, executing the analysis, and communicating clear, actionable recommendations. What you will do: Analytics and product innovation Develop reusable analytical frameworks, study templates, and automated workflows to improve scalability, efficiency, quality, and consistency across Evio Insights Explore data to identify signals, trends, utilization patterns, and anomalies that inform project hypothes…