Campus 2027: Decision Intelligence (DI) Analyst

Do you want to turn data into decisions that help pharma brands reach the right patients at the right time?

• Are you looking for a consulting role that uses analytics, predictive modeling, and AI on real client problems?
• Do you want to work with AI agents every day, and help build the next ones?
• Is working on a collaborative team with some of the brightest minds in the data analytics industry a goal?

If you answer yes to any of these questions, read on and learn about Axtria's DI Opportunities
Why Axtria?
Axtria is an emerging force in the data analytics industry with corporate headquarters in Berkeley Heights, NJ. We work exclusively with companies in the Life Science industry, helping our clients solve some of their most complex problems. We blend information, analytics, AI, and technology to help organizations gain a competitive edge to improve patient outcomes and drive business growth.
What's in it for you?
Growth! Advancement of your analytical, technical, and AI skills. A high performance culture of doing the RIGHT thing. Associates in our Decision Intelligence (DI) business work in teams embedded in our clients’ commercial, medical, and market access organizations, turning data into AI-powered decisions in areas such as marketing, patient analytics, market access, forecasting, and medical affairs. They build analyses and AI/ML models, work with AI agents, and help build new ones, to advise clients and help them make strategic and tactical decisions to achieve their business objectives in the Life Science Industry.
Potential Responsibilities may include (but not limited to) any of the following activities:

• 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. Explain analyses, build slides, and present to team and client audiences.

About You

• Working towards a Bachelors/Masters 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
• 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.
• 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

Life @ Axtria
Axtrians are passionate and thrive in a culture of collaboration and learning. We realize that AI and data expertise are in high demand, and our work has an enormous impact in the Life Science industry and on society. We don't take this lightly, thus constantly challenge ourselves to improve, innovate, and empower others through responsible AI practices. We highly encourage transparency in our nimble organization where we communicate freely without any hierarchical boundaries to share a wealth of knowledge and exciting AI innovations.