AI & Data Associate

Are you looking to get hands-on experience designing data ecosystems, building insightful dashboards, and implementing AI solutions?
Do you want to develop data and AI strategies for the Life Science industry, impacting millions of lives?
Is working with some of the brightest minds in the data management and analytics industry a goal?
Do you want to be the person who can both build an AI solution and explain to a client why it matters?

If you answer yes to any of these questions, read on and learn about Axtria's Full Time 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 technical, AI, and consulting skills. A high performance culture of doing the RIGHT thing. AI & Data Associates use cloud technology and AI to ingest, integrate, and process data to build advanced data platforms and analytical ecosystems for our clients.
Potential Responsibilities may include (but not limited to) any of the following activities:

Build and implement AI/ML models and agentic workflows within data pipelines and analytical ecosystems. Work with data scientists and engineers on Life Sciences use cases such as forecasting, omnichannel engagement, and customer or patient analytics.
Contribute to data modernization and Enterprise Data Management. Build and test pieces of cloud data ecosystems (Azure, AWS, Snowflake, Databricks), and integrate GenAI for automated reporting and intelligent data discovery. You’ll also apply AI to Data Quality, Master Data Management, and Data Governance.
Evaluate AI solutions for technical feasibility, business value, and risk. Apply responsible AI practices (guardrails, data security, token cost) 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 or Masters with preference given to those studying Business Analytics, Computer Science, Data Science, Economics, Math, Stats, or Operations Research (graduating between 12/2026 and 6/2027).
Business Acumen: Able to understand how a client’s business works and connect data and AI work to business outcomes. Life Science and pharma commercial operations 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 AI and data concepts 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 complex data and AI challenges. Smart, adaptable, and quick to pick up new technologies
AI/ML Knowledge: Understanding of machine learning concepts and their integration with data platforms
AI Tools (preferred): Hands-on experience with 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.
Technical Skills: A foundation in Cloud Technology, and experience with SQL, Databricks and/or Snowflake
Visualization: Experience with Tableau, Power BI and understanding of AI-enhanced dashboard development
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.

Campus 2027: AI & Data

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