Campus 2027: AI & Data Analyst (AI)

Location: Berkeley Heights, New Jersey, United States. Permanent U.S. work authorization is required; visa sponsorship is not available.

Company

hirify.global provides data analytics, AI, and technology solutions exclusively to Life Sciences organizations to improve patient outcomes and business growth.

What you will do

• Build and implement AI/ML models and agentic workflows in data pipelines and analytical ecosystems.
• Support Life Sciences use cases including forecasting, omnichannel engagement, and customer or patient analytics.
• Build and test cloud data ecosystems using Azure, AWS, Snowflake, and Databricks.
• Integrate GenAI into automated reporting, intelligent data discovery, data quality, master data management, and data governance.
• Evaluate AI solutions for technical feasibility, business value, risk, data security, guardrails, and token cost.
• Prepare analyses, presentations, and client-facing explanations for technical and non-technical audiences.

Requirements

• Currently pursuing a bachelor's or master's degree, preferably in Business Analytics, Computer Science, Data Science, Economics, Mathematics, Statistics, or Operations Research, with graduation between December 2026 and June 2027.
• Hands-on experience building or using an AI agent through coursework, an internship, or a personal project.
• Understanding of machine learning concepts and their integration with data platforms.
• Foundation in cloud technology and experience with SQL, Databricks, and/or Snowflake.
• Experience with Tableau or Power BI and understanding of AI-enhanced dashboard development.
• Must have permanent authorization to work in the United States without visa sponsorship.

Nice to have

• Knowledge of Life Sciences or pharmaceutical commercial operations.
• Hands-on experience with Claude, Claude Code, ChatGPT, Copilot, or similar AI assistants and coding tools.

Culture & Benefits

• Full-time opportunity with opportunities to advance technical, AI, and consulting skills.
• Collaborative culture focused on learning, transparency, responsible AI, and continuous improvement.
• Opportunities to work on AI and data initiatives with significant impact in the Life Sciences industry.
• Open communication and knowledge sharing across a nimble organization.