Healthcare Data Scientist

Join EPIC Brokers as a remote Healthcare Data Scientist, supporting the Artemetrx analytics platform. You will build predictive models and run healthcare data analytics to inform client decision making and cost/utilization management, collaborating across consultants, clinicians, analysts, product teams, data engineers, and other stakeholders. This role is fully remote across the continental United States, with a base salary of USD 110,000 to 140,000 per year and a comprehensive benefits package. EPIC fosters a collaborative culture that emphasizes growth, teamwork, and delivering meaningful results for clients.

Responsibilities

• Support the development and maintenance of predictive, statistical, and machine learning models that address business and client needs across Artemetrx initiatives.
• Analyze pharmacy and medical claims data, along with other healthcare data sets, to identify trends, patterns, outliers, and opportunities that inform client strategy and improve health outcomes.
• Assist with AI roadmap initiatives.
• Prepare, clean, transform, and validate data sets to ensure accuracy, completeness, and usability for advanced analytics, reporting, dashboards, and model development.
• Develop clean, reusable, and testable analytical code using established data team standards, libraries, and modules.
• Support Artemetrx through maintaining reference tables and other data sets used within the product.
• Use SQL or Python to extract, manipulate, and analyze large and complex data sets.
• Collaborate with consultants, clinicians, analysts, product teams, data engineers, and other stakeholders to understand business problems, define requirements, and deliver actionable insights.
• Document analytical methods, assumptions, data definitions, model logic, and results to support transparency, repeatability, and quality control.
• Communicate analytical findings and recommendations through written summaries, presentations, dashboards, and stakeholder discussions.
• Stay current with developments in healthcare analytics, data science, machine learning, artificial intelligence, and the pharmacy benefits management industry.

Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science or related quantitative discipline.
• At least 2 years of healthcare and/or pharmaceutical analytics experience.
• Strong experience using SQL to write queries.
• Python or R experience, in particular building data analysis, machine learning, or forecasting models.
• Positive and outgoing disposition, eager to work as part of a team but also able to function independently.

Technologies

• SQL
• Python
• R
• Microsoft Excel
• Microsoft Word
• Microsoft Outlook
• Microsoft PowerPoint

Benefits

• Generous Paid Time Off
• Personal time off with no accruals or caps; 22 PTO days starting out for hourly/non-exempt employees; 12 company-observed paid holidays; 4 early-close days
• Paid parental leave, pregnancy disability and bonding leave, and organ donor/bone marrow donor leave
• Employee referral bonus program of $1,500 per hired referral
• Employee recognition programs for demonstrating EPIC's values plus additional awards and trips
• Employee Resource Groups: Women's Coalition, EPIC Veterans Group
• Professional growth and development: Mentorship Program, Tuition Reimbursement Program, Leadership Development
• Unique benefits such as Pet Insurance, Identity Theft & Fraud Protection, Legal Planning, Family Planning, and Menopause and Midlife Support
• 401(k) matching, medical, dental, vision, and wellness and employee assistance programs
• 50/50 Work Culture that promotes collaboration and inclusivity across the business
• EPIC Gives Back initiatives including Donation Connection, Employee Assistance Fund, and People First Foundation
• Recognition of EPIC as a top 10 property/casualty agency by Insurance Journal

Location

Remote - Anywhere in the continental United States

Compensation

The base salary range for this position is USD 110,000 to 140,000 per year. This is an exempt role. Actual compensation will be determined based on factors such as experience, skills, training, certifications, education, internal equity, and market data. The role may also be eligible for bonuses and a comprehensive benefits package.