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Data Scientist, Customer Strategy and Analytics

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full-time

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Origin:  • 🇺🇸 United States • Illinois

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Salary

💰 $150,000 - $175,000 per year

Job Level

Mid-LevelSenior

Tech Stack

PythonSQLTableau

About the role

  • Advance patient journey analytics through tokenization and linking of privacy-compliant, de-identified patient‑level data sources to create a unified longitudinal view
  • Perform hands-on analyses to identify and quantify patient drop-off and translate findings into evidence-based, unbiased insights to improve patient access and support outcomes
  • Develop reporting and analytics to support omnichannel performance tracking, patient program optimization, and compliant field access engagement
  • Partner across business teams to align analytics to strategic objectives while ensuring independence, transparency, and integrity of insights
  • Apply statistical and advanced analytic methods (e.g., regression, time-to-event, clustering, segmentation) to uncover patterns in patient behavior and support hypothesis-driven, non-promotional analytics
  • Support the design and interpretation of compliant A/B tests and experimentation, ensuring appropriate governance and analytic rigor
  • Develop frameworks and scalable methodologies to monitor patient flow and engagement program effectiveness over time
  • Collaborate with data strategy and IT to design and implement secure, auditable patient journey data frameworks in alignment with HIPAA, CCPA, CDPA, and other relevant U.S. privacy regulations
  • Establish KPIs and methodologies to assess programs and engagement
  • Translate complex data into clear, actionable narratives for business stakeholders while maintaining compliance with internal privacy and transparency standards
  • Contribute to building the data ecosystems and analytics frameworks needed to support in-line and future products where understanding the patient journey is crucial

Requirements

  • Accredited Bachelor’s degree in Data Science, Analytics, Statistics, Health Economics, Computer Science, Epidemiology, or a related quantitative field
  • 6+ years of experience in data science, statistics, analytics, or a related field
  • 3+ years of experience working with patient-level healthcare industry data (e.g., IQVIA, Symphony or Komodo claims data, specialty pharmacy status data, EHR data, hub/copay program data, etc.)
  • Strong understanding of U.S. healthcare system dynamics, including payer reimbursement pathways, specialty distribution models, and design/operational flow of patient services programs (hub, copay, PAP)
  • Proficiency in SQL, Python, or R, including experience building datasets, performing statistical analysis, and developing analytical models
  • Experience applying statistical and advanced analytic methods (e.g., regression, time-to-event, clustering, segmentation)
  • Proven track record of independently designing and executing analytics projects and delivering insights
  • Strong analytical and problem-solving skills with attention to detail and execution
  • Strong communication and data storytelling skills to explain complex findings to technical and non-technical stakeholders
  • Strong commitment to data privacy, ethical analytics, and compliance with applicable laws and internal governance
  • Ability to manage competing priorities and work collaboratively in a fast-paced environment
  • Willingness/ability to travel up to 25% domestically; international travel may be required
  • Preferred: Strong preference to be based in Deerfield, IL Office
  • Preferred: Accredited Master’s degree in Data Science, Analytics, Statistics, Health Economics, Computer Science, Epidemiology, or a related field
  • Preferred: Deeper understanding of Market Access strategy, payer reimbursement processes, and patient support program operations
  • Preferred: Experience with data visualization tools (e.g., Tableau, Power BI)
  • Preferred: Familiarity with compliant experimental design and measurement approaches (A/B testing, pre/post, matched cohort analysis)
  • Preferred: Working knowledge of healthcare compliance frameworks and privacy regulations, including HIPAA, CCPA, CDPA, and PhRMA Code