Applied Real World Data Scientist
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 hypotheses and strategic decision-making
Apply machine learning and advanced analytics techniques (such as predictive modeling, natural language processing, graph neural networks, and unsupervised clustering) to develop and advance product capabilities
Evaluate new data sources, analytical methods, and advanced analytics approaches—including predictive modeling, forecasting, and patient segmentation—to determine their potential value for Evio Insights.
Contribute to project planning, prioritization, quality review, and continuous improvement of Evio Insights research and analytics.
Product delivery
Design and execute RWE projects—including observational studies, comparative effectiveness studies, predictive modeling of cost/clinical outcomes, and other analytics projects focused on patient outcomes, medication utilization, and healthcare costs
Collaborate with pharmacists, RWE/HEOR researchers, data scientists, analysts, engineers, product managers, and client-facing teammates to deliver high-quality analyses and evidence
Develop clear analytical plans, outcome definitions, and validation approaches that produce reliable and decision-ready evidence
Translate analytical findings into clear, actionable insights through presentations, slide decks, manuscripts, and client-facing communications
Conduct feasibility assessments and exploratory analyses to identify and evaluate research and analytics project opportunities
Reporting and value measurement
Develop reporting and data visualizations summarizing the impact and cost-savings potential of Evio Insights recommendations to health plans
Apply appropriate program-evaluation methods—such as matched comparisons, difference-in-differences, interrupted time-series analyses, or other quasi-experimental approaches to assess the impact of interventions, including prescriber outreach, member outreach, and policy and utilization management changes
Develop reporting that identifies emerging medication utilization and cost trends, surfaces potential clinical and financial opportunities, and supports RWE study ideation, prioritization, and strategic decision-making.
Minimum qualifications:
5+ years of experience in healthcare analytics, real-world evidence, health economics and outcomes research, data science, or a related field.
5+ years of experience with machine learning and advanced analytical methods, such as predictive modeling, forecasting, and unsupervised learning/segmentation.
Experience working with administrative claims data
Strong proficiency in SQL and experience with at least one analytical programming language, such as Python or R.
Experience designing statistical comparisons, analytical plans, and decision-grade analyses for a variety of use case
Skills to design and execute descriptive analytics, outcomes-based analytics, and predictive analytics
Experience developing automated, reusable, or production-ready analytical workflows and reporting solutions.
Ability to communicate technical information to a range of audiences including executives, analysts, actuaries, and clinicians—via written and verbal communication
Strong problem-solving skills with the ability to independently explore data, identify insights, and recommend actionable solutions
Preferred qualifications:
Experience working with healthcare data beyond administrative claims, such as prior authorization, laboratory, electronic health records, or social determinants of health.
Familiarity with commercially available real-world data analytics platforms
Experience using AI to analyze real-world data, automate workflows, or perform quality assurance
Familiarity with high-cost and specialty medications and how they are managed by health plans via medical policy, utilization management, and formularies
How you show up:
Founder's mentality: You prototype, create, and iterate without waiting for permission or perfect infrastructure.
Resilient and pragmatic: You are comfortable with ambiguity, escalation, and imperfect information, and you choose practical, high-leverage solutions over perfection.
Bias for outcomes: Your core focus is creating value for customers and the patients they impact. As a relentless self-starter, you are oriented to take action to solve a problem.
Exceptional communicator: You can communicate crisply with payer executives, internal leaders, product experts, and others regardless of whether they have a technical background.
EQ and relationship building: You build strong internal and external relationships and navigate complex organizations with empathy, awareness, and overall high emotional intelligence
Structured thinking: You’re an organized thinker and able to manage multiple priorities without losing momentum
Judgement and balance: You balance thoughtful analysis with speed, knowing when to go deep and when to move fast.
Innovation: You bring energy, curiosity, and excitement for challenging the status quo with strong value alignment to Evio’s vision
Compensation:
Anticipated annual base pay range: $160,000 - $190,000 plus additional variable compensation.
At Evio, we’re committed to building a competitive compensation package to honor the value our teammates bring as well as attract and retain top talent that is aligned with our culture, mission and values. Compensation includes base pay (range shown) and could include other variable compensation opportunities depending on job seniority, location, and date of hire. Evio also offers a number of attractive benefits to eligible teammates including health insurance, retirement savings, life and disability insurance, paid and unpaid time off, and other benefits to make sure Evio teammates and families are well supported.
Please note that the base pay information shown is a general guideline for the job responsibilities and qualifications listed. Salary decisions are based on candidate experience, and market and business considerations.
How we take care of you:
Great Health Insurance
The company pays 100% of medical, dental, and vision premiums for teammates, and 50% for dependents.
401K Match
Evio matches 100% of teammate contribution up to 5% of salary, subject to IRS limits.
Time Off
We have a flexible vacation policy for teammates to unplug and recharge when you need it. There is no minimum or maximum amount of vacation allowed per year, and there is no payment in consideration for unused vacation. Vacation is to be used at your discretion, with approval of leadership.
Parental Leave
Generous paid leave for new parents (includes birth and non-birth parents).