Campus 2027: Decision Intelligence (DI) Analyst
About The Position
This role is for individuals looking to turn data into decisions that help pharma brands reach the right patients at the right time. It's a consulting role that utilizes analytics, predictive modeling, and AI on real client problems. The position involves working with AI agents daily and contributing to the development of new ones. The role is part of a collaborative team focused on data analytics within the Life Science industry. Axtria, the hiring company, is an emerging force in data analytics, headquartered in Berkeley Heights, NJ, and exclusively serves the Life Science industry. They help clients solve complex problems by blending information, analytics, AI, and technology to improve patient outcomes and drive business growth. Associates in the Decision Intelligence (DI) business work in teams embedded in clients' commercial, medical, and market access organizations, transforming data into AI-powered decisions in areas like marketing, patient analytics, market access, forecasting, and medical affairs. They build analyses and AI/ML models, work with AI agents, and help create new ones to advise clients and support strategic and tactical decisions.
Requirements
- Working towards a Bachelors/Masters degree (preference given to Data Science, Computer Science, Business Analytics, Economics, Mathematics, Applied Mathematics, Statistics, and any Engineering Major) graduating between 12/2026 & 6/2027.
- Business Acumen: Able to understand how a client’s business works and connect data and AI work to business outcomes.
- Interest in the life sciences industry and improving patient outcomes through AI-driven solutions; domain knowledge is preferred, not required.
- Agentic AI Fluency: Can explain how AI agents work (models, tools, guardrails) to a client, and has built or used one hands-on, whether in coursework, an internship, or a personal project.
- Storytelling and Communication: Strong communication skills, comfortable presenting concepts and recommendations to both technical and non-technical audiences, and able to turn analysis into a clear story.
- Problem Solving Mindset and Learning Agility: Obsessed with working through and solving a wide variety of problems using analytical and AI approaches. Smart, adaptable, and quick to pick up new technologies.
- AI/ML Knowledge: Understanding of machine learning concepts, algorithms, and their practical applications.
- Technical Skills: Proficiency or strong foundation in Python, SQL, R. Excel skills required.
- A dedicated team player who enjoys collaboration with the primary goal of “getting it done”.
- Must have permanent work authorization to work in the United States, without need of visa sponsorship.
Nice To Haves
- AI Tools (preferred): Hands-on experience with AI/ML frameworks, AI assistants, and coding tools such as Claude, Claude Code, ChatGPT, or Copilot. Be ready to talk about how you use them and where they fall short.
Responsibilities
- Conduct analyses and build models for pharma business problems, from forecasting and marketing effectiveness to patient journeys and market access.
- Use and help build AI agents and GenAI pipelines, using LLMs and natural language processing to automate analytics and speed time to insight.
- Evaluate AI solutions for feasibility and business impact.
- Apply responsible AI practices to everything you deliver.
- Prepare and present your work, explaining analyses, building slides, and presenting to team and client audiences.
Benefits
- Growth! Advancement of your analytical, technical, and AI skills.
- A high performance culture of doing the RIGHT thing.
- Work with AI agents every day, and help build the next ones.
- Work on a collaborative team with some of the brightest minds in the data analytics industry.
- Opportunity to work on real client problems.
- Improve patient outcomes and drive business growth.
- Constant challenge to improve, innovate, and empower others through responsible AI practices.
- Transparency in a nimble organization where communication is free without hierarchical boundaries.
- Share a wealth of knowledge and exciting AI innovations.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
