AI & Data Associate: Build AI-Driven Life Sciences Dashboards

Axtria, Inc; Berkeley Heights, Northern (NJ, KY); Hybrid; USD 75,000 - 120,000; Full time

Job summary

Axtria, Inc. is seeking an AI & Data Associate in Berkeley Heights, NJ, to design data ecosystems, build insightful dashboards, and implement AI solutions for Life Sciences clients.

You will work with top data professionals to ingest, integrate, and process data, leverage cloud platforms, and apply GenAI to automate reporting and discovery. This role emphasizes collaboration, rapid learning, and delivering client-ready analyses.

Qualifications

• Pursuing a Bachelor's or Master's in Business Analytics, CS, Data Science, Economics, Math, Stats, or OR (graduating 12/2026–6/2027).
• Business acumen to map data work to client outcomes, preferably in Life Sciences.
• Ability to explain AI concepts and guardrails to clients, hands-on with AI tools.
• Strong communication to present AI and data concepts to diverse audiences.
• Eager to solve complex data and AI challenges with quick learning.
• Solid foundation in cloud tech and SQL, Databricks, Snowflake.
• Experience with Tableau or Power BI for enhanced dashboards.
• Team player who collaborates to get things done.

Responsibilities

• Build and implement AI/ML models and agentic workflows within data pipelines and analytics ecosystems.
• Develop data modernization and Enterprise Data Management; test cloud data ecosystems and integrate GenAI for automated reporting.
• Evaluate AI solutions for feasibility, value, and risk; apply responsible AI practices.
• Prepare and present analyses; build slides and present to team and clients.

Skills

SQL

Databricks

Snowflake

Tableau

Power BI

AI/ML concepts

Cloud tech

Agentic AI

Education

Bachelor/Master in relevant field

Tools

Claude / Claude Code

ChatGPT / Copilot

Job description

Axtria, Inc. is seeking an AI & Data Associate in Berkeley Heights, NJ, to design data ecosystems, build insightful dashboards, and implement AI solutions for Life Sciences clients.

You will work with top data professionals to ingest, integrate, and process data, leverage cloud platforms, and apply GenAI to automate reporting and discovery. This role emphasizes collaboration, rapid learning, and delivering client-ready analyses.