2027 Summer Intern US Advanced Analytics (AI)

Location: Cambridge, MA or Morristown, NJ; must be able to relocate to the office and work onsite 40 hours per week, Monday to Friday

Salary: $36–47 USD per hour

Company

hirify.global is an R&D-driven, AI-powered biopharmaceutical company developing medicines and vaccines to improve people’s lives.

What you will do

• Build relationships with commercial, brand, and Advanced Analytics stakeholders to prioritize work and deliver time-sensitive requests.
• Develop proof-of-concept models using business insights and market data to support commercial excellence.
• Lead marketing and sales problem-solving activities, including marketing mix modeling, ROI analysis, next best action, customer segmentation, patient prediction, and driver analysis.
• Prepare accurate analyses using advanced analytical methods and create innovative data visualizations.
• Interpret model outputs and present findings and implications to commercial stakeholders and leadership.
• Collaborate with Digital Accelerator, Digital Data Science, Data Management, Market Research, Marketing, Strategy, Finance, BD, and the extended US Advanced Analytics team.

Requirements

• Currently pursuing an undergraduate or master’s degree in an applied quantitative field such as mathematics, statistics, or computer science, with planned graduation in Spring 2028 or 2029.
• Must be permanently authorized to work in the United States and must not require employment visa sponsorship now or in the future.
• Must remain enrolled at an accredited college or university throughout the internship.
• Must be able to relocate to the office location and work 40 hours per week, Monday through Friday, for the full 10–12-week internship.

Nice to have

• Coursework or experience in predictive modeling and analytics, with strong quantitative and analytical skills.
• High proficiency in Python, R, Scala, Snowflake, and familiarity with SQL, NoSQL, and other database systems.
• Experience with supervised and unsupervised learning, deep learning, reinforcement learning, federated learning, time-series forecasting, Bayesian statistics, or optimization.
• High proficiency in Microsoft Excel, PowerPoint, and Word.
• Ability to translate complex data into actionable insights and strategic recommendations.
• Proactive, self-starting approach and ability to work cross-functionally.

Culture & Benefits

• Supportive, future-focused environment with mentoring from experienced leaders.
• Opportunity to contribute to real healthcare projects and use modern digital and analytical tools.
• Access to continuous learning, apprenticeships, internships, graduate programs, and international experiences.