Real-World Data Scientist: RWE Analytics & Insights

Data Business GmbH

Denver (CO)

Hybrid

USD 160,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Health insurance
401K match
Paid time off
Parental leave

Job summary

Evio is a health‑tech company focused on transforming high‑cost medications through advanced analytics and real‑world evidence. As an Applied Real‑World Data Scientist, you will lead research, analytics, and reporting powering Evio Insights, collaborating across engineering, data, and client teams to uncover insights that help patients access high‑cost medications affordably.

You will apply machine learning, predictive modeling, and advanced analytics to develop product capabilities, translate

Qualifications

  • 5+ years experience in healthcare analytics, real‑world evidence, or health economics.
  • Proficiency in ML methods, predictive modeling, and segmentation.
  • Experience with administrative claims data and healthcare data sources.

Responsibilities

  • Lead development and execution of research, analytics, and reporting for Evio Insights.
  • Apply ML and advanced analytics to develop product capabilities.
  • Translate analytic findings into clear, actionable client communications.
  • Collaborate with engineers, data scientists, and client-facing teams.
  • Design analytic plans, outcome definitions, and validation approaches.
  • Develop automated analytical workflows and reporting solutions.

Skills

SQL
Python
R
Machine Learning
Data Analysis
Communication

Job description

Evio is a health‑tech company focused on transforming high‑cost medications through advanced analytics and real‑world evidence. As an Applied Real‑World Data Scientist, you will lead research, analytics, and reporting powering Evio Insights, collaborating across engineering, data, and client teams to uncover insights that help patients access high‑cost medications affordably.

You will apply machine learning, predictive modeling, and advanced analytics to develop product capabilities, translate

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