MarTech Intern - Data Science

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Day - 08 Hour (United States of America)

This data science project aims to analyze visitor behavior patterns on the Stanford Healthcare public website, with a specific emphasis on Clinical Trials registrations and general event signups. Leveraging primary data sources such as Adobe Analytics and the Customer Data Platform (CDP), along with supplementary insights from the third-party platform ORC (for event data), the intern will conduct an in-depth analysis. The overarching goal is to uncover key behavior patterns that drive successful registrations and conversions. This analysis will ultimately optimize the website's user experience, leading to increased engagement and participation in healthcare-related events.

Specific Goals:

Behavior Pattern Analysis: The intern will delve into visitor behavior data obtained from Adobe Analytics and CDP. By examining clickstreams, session durations, navigation paths, and content interactions, the intern will identify common behavior patterns associated with successful Clinical Trials registrations and general event signups.

Feature Identification: Utilizing data from Adobe Analytics and CDP, the intern will identify potential features that correlate with higher conversion rates. These features may include specific website sections, content types, time of day, referral sources, device types, and more.

Segmentation Strategies: The intern will employ data from Adobe Analytics and CDP to segment the visitor population based on demographic factors, referral sources, and engagement history. This segmentation will provide insights into behavior patterns within different user groups, facilitating targeted optimization strategies.

Predictive Modeling: Based on insights gleaned from behavior pattern analysis and data from Adobe Analytics and CDP, the intern will develop predictive models to forecast the likelihood of registrations and signups for both Clinical Trials and general events. These models will aid in identifying potential registrants and informing personalized communication strategies.

Recommendation Engine Design: Building on predictive models and utilizing data from Adobe Analytics and CDP, the intern will design a recommendation engine. This engine will suggest relevant Clinical Trials and general events to visitors based on their browsing history, preferences, and observed behavior patterns. The aim is to elevate user engagement and participation.

Report and Recommendations:

The intern will compile a comprehensive report summarizing the analysis, methodologies, findings, and proposed strategies for optimization. The report will offer actionable insights for improving the website's user experience and registration rates, with a specific focus on Clinical Trials registrations and general event signups. By achieving these goals, the intern will contribute to the continuous improvement of the Stanford Healthcare public website's effectiveness in promoting healthcare-related events and fostering increased visitor engagement and participation.

This is a Stanford Health Care job.

A Brief Overview

The purpose of this job is to gain practical experience in health care administration and operations by contributing to a specific project and/or department operations.

Locations

Stanford Health Care

What you will do

• Independently research and analyze data from internal and external sources
• Interface with clinicians, employees, and other leaders of the organization to understand perspectives and/or share findings
• Draft deliverables and other project related materials (e.g., meeting agendas, project work plans, action item logs)
• Present project findings and results to internal audiences

Education Qualifications

• Bachelor's degree from an accredited College or University
• Entering or enrolled in a graduate program at an accredited College or University for Fall 2019
• For IT Intern roles: currently enrolled in undergrad or grad program.

Experience Qualifications

• None

Required Knowledge, Skills and Abilities

• Excellent verbal and written communication skills
• Ability to discuss and solve complex problems in area of expertise
• Demonstrated ability to create direction and work plans for day-to-day and project work
• Basic knowledge of health care technology and basic business technology

These principles apply to ALL employees:

SHC Commitment to Providing an Exceptional Patient & Family Experience

Stanford Health Care sets a high standard for delivering value and an exceptional experience for our patients and families. Candidates for employment and existing employees must adopt and execute C-I-CARE standards for all of patients, families and towards each other. C-I-CARE is the foundation of Stanford's patient-experience and represents a framework for patient-centered interactions. Simply put, we do what it takes to enable and empower patients and families to focus on health, healing and recovery.

You will do this by executing against our three experience pillars, from the patient and family's perspective:

• Know Me: Anticipate my needs and status to deliver effective care
• Show Me the Way: Guide and prompt my actions to arrive at better outcomes and better health
• Coordinate for Me: Own the complexity of my care through coordination

Equal Opportunity Employer Stanford Health Care (SHC) strongly values diversity and is committed to equal opportunity and non-discrimination in all of its policies and practices, including the area of employment. Accordingly, SHC does not discriminate against any person on the basis of race, color, sex, sexual orientation or gender identity and/or expression, religion, age, national or ethnic origin, political beliefs, marital status, medical condition, genetic information, veteran status, or disability, or the perception of any of the above. People of all genders, members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply. Qualified applicants with criminal convictions will be considered after an individualized assessment of the conviction and the job requirements.

Base Pay Scale: Generally starting at $26.96 - $34.37 per hour

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training. This pay scale is not a promise of a particular wage.