Campus 2027: AI & Data

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

Company

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

What you will do

• Build and implement AI/ML models and agentic workflows within 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 generative AI for automated reporting and intelligent data discovery, and apply AI to data quality, master data management, and data governance.
• Evaluate AI solutions for technical feasibility, business value, responsible AI risks, data security, and token cost.
• Prepare analyses, build presentations, and explain data and AI concepts to team members and clients.

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, with an understanding of models, tools, and guardrails.
• 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 an understanding of AI-enhanced dashboard development.
• Strong communication, presentation, problem-solving, learning agility, collaboration, and business acumen.

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, learning-focused culture with transparent communication and limited hierarchical barriers.
• Work focused on responsible AI, innovation, and improving outcomes across the Life Sciences industry.