Applied Real-World Data Scientist, Health Analytics

Evio Access; Denver (NC); On-site; USD 160,000 - 190,000; Full time

Benefits offered by this job

Health Insurance

401K Match

Time Off

Parental Leave

Job summary

Evio is seeking an Applied Real-World Data Scientist to lead research, analytics, and reporting powering Evio Insights within our Digital Health portfolio. You will use real-world evidence to generate recommendations for policy, utilization management, and contracting to support high-value medication use.

You will collaborate with engineering, data, and client-facing teams to uncover insights, translate problems into research questions, and deliver actionable recommendations that improve patient

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

Responsibilities

• 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.

Skills

SQL

Python

R

Machine Learning

Data Visualization

Job description

Evio is seeking an Applied Real-World Data Scientist to lead research, analytics, and reporting powering Evio Insights within our Digital Health portfolio. You will use real-world evidence to generate recommendations for policy, utilization management, and contracting to support high-value medication use.

You will collaborate with engineering, data, and client-facing teams to uncover insights, translate problems into research questions, and deliver actionable recommendations that improve patient