Applied Real World Data Scientist

This is a fully remote position, open to applicants in Colorado.

📋 Description

• Spearhead the development and implementation of research, analytics, and reporting that drive Evio Insights, a real-world evidence product within Evio’s Digital Health portfolio.

• Manage the analytic lifecycle, transforming vague health plan challenges into research inquiries, encompassing study or modeling selection, analysis execution, and actionable recommendations.

• Create reusable analytical frameworks, study templates, and automated processes.

• Investigate data to uncover signals, trends, utilization patterns, and anomalies.

• Utilize machine learning and advanced analytics, such as predictive modeling, natural language processing, graph neural networks, and unsupervised clustering.

• Assess new data sources, analytical techniques, forecasting methods, and patient segmentation strategies.

• Design and carry out real-world evidence projects, observational studies, comparative effectiveness studies, and predictive modeling related to cost and clinical outcomes.

• Collaborate with pharmacists, researchers, data scientists, analysts, engineers, product managers, and client-facing personnel.

• Formulate analytical plans, outcome definitions, and validation strategies.

• Convert findings into presentations, slide decks, manuscripts, and communications intended for clients.

• Conduct feasibility assessments and exploratory analyses.

• Create reporting and data visualizations that highlight recommendation impacts and potential cost savings.

• Employ quasi-experimental program evaluation techniques, including matched comparisons, difference-in-differences, and interrupted time-series analyses.

• Identify emerging trends in medication utilization and costs while aiding in research prioritization and strategic decision-making.

⛳️ Requirements

• A minimum of 5 years of experience in healthcare analytics, real-world evidence, health economics and outcomes research, data science, or a related discipline.

• At least 5 years of experience with machine learning and advanced analytical methodologies, including predictive modeling, forecasting, and unsupervised learning/segmentation.

• Experience in working with administrative claims data.

• Strong expertise in SQL and familiarity with Python or R.

• Proficiency in designing statistical comparisons, analytical plans, and decision-grade analyses for diverse use cases.

• Competence in descriptive analytics, outcomes-based analytics, and predictive analytics.

• Experience in developing automated, reusable, or production-ready analytical workflows and reporting solutions.

• Ability to convey technical information effectively to executives, analysts, actuaries, and clinicians through both written and verbal communication.

• Exceptional problem-solving skills, with an aptitude for independently exploring data, identifying insights, and providing actionable recommendations.

• Preferred: Experience with healthcare data beyond administrative claims, familiarity with commercially available real-world data analytics platforms, application of AI in real-world data analysis or workflow automation, and knowledge of high-cost or specialty medications.

🏝️ Benefits

• Additional variable compensation opportunities.

• Health insurance: the company covers 100% of medical, dental, and vision premiums for employees, and 50% for dependents.

• 401K match: 100% of employee contributions up to 5% of salary, subject to IRS limits.

• Flexible vacation policy with no set minimum or maximum on vacation days per year.

• Generous paid parental leave for both birth and non-birth parents.

• Life and disability insurance.

• Paid and unpaid time off.