AI & Data Associate

## 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, 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 - 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. 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, including guardrails, data security, and 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 Bachelor's or Master's degree, preferably in Business Analytics, Computer Science, Data Science, Economics, Math, Statistics, 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, but 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 technical and non-technical audiences, and able to turn analysis into a clear story. - Problem-solving mindset and learning agility: Enjoys 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 discuss 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 or 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 at 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, and 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 hierarchical boundaries to share knowledge and exciting AI innovations.