Marketing Science Lead, Patient Engagement

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

📋 Description

• Create and oversee the testing roadmap for outreach and engagement strategies.

• Design controlled experiments that encompass hypotheses, randomization, control groups, sample sizing, and success criteria.

• Perform power analysis and determine minimum detectable effects prior to test launches.

• Evaluate test results for statistical validity, considering sequential analysis and multiple comparisons.

• Assess historical appointment, outreach, and attendance data to pinpoint factors contributing to missed visits and assess opportunities.

• Utilize observational causal inference methods when controlled testing is impractical and clarify any limitations.

• Develop segmentation and targeting strategies for patient demographics.

• Convert findings into actionable recommendations and implementation specifications for operations.

• Document test designs, results, and decision-making processes.

• Report on show-rate performance and program impact, highlighting operational and financial effects to leadership.

• Offer technical guidance and review for the Patient Engagement Analyst and Marketing Operations Specialist.

• Collaborate with clinical, compliance, and operations leadership to adhere to organizational, ethical, and regulatory standards.

• Provide hands-on technical direction to a Marketing Operations Specialist and a Patient Engagement Analyst.

⛳️ Requirements

• Bachelor’s degree in statistics, economics, mathematics, data science, marketing analytics, or a related discipline, or equivalent practical experience.

• Over 5 years of experience in marketing science, experimentation, causal inference, or advanced analytics.

• Proven experience in designing, executing, and analyzing controlled experiments from start to finish.

• Practical knowledge of experimental design principles, including randomization, sample sizing, power analysis, stratification, and multiple comparisons.

• Advanced SQL skills, along with proficiency in Python or R.

• Experience working with large and imperfect operational datasets.

• Familiarity with observational causal inference methods such as matching, difference-in-differences, or propensity scoring.

• Strong written and verbal communication abilities, including the skill to present analytical findings to non-technical audiences.

• Good judgment in differentiating statistically valid results from inconclusive ones, along with the capability to convey that distinction clearly.

• Windows or Apple (macOS) computer only; no Chromebooks, Linux machines, or smartphones.

• At least Windows 10 or macOS 14 Sonoma required.

• Intel Core i5 or AMD equivalent (Windows) processor, or Apple Silicon (Macs).

• Minimum of 16 GB RAM.

• Wired headphones are mandatory; built-in microphones are not allowed.

• Minimum internet speed of 100 Mbps download and 50 Mbps upload is required.

• An Ethernet cable must connect the computer directly to the router.

• Google Chrome with Amazon Workspaces is necessary.

• A webcam is required for video calls.

• Reliable internet connectivity and a secure, private workspace are essential.

• Preferred but not required: healthcare experience, patient or member engagement programs, uplift or heterogeneous treatment effect models, regulated-environment experimentation, knowledge of HIPAA/TCPA, behavioral science, older adult populations, and an advanced quantitative degree.

🏝️ Benefits

• Completely remote role with significant visibility and impact.

• Opportunity to contribute positively to a growing healthcare organization.

• Engaging collaborative, cross-functional team environment.